The subtypes of ADHD: ADHD-HI (predominantly hyperactive), ADHD-C (combined type), ADHD-I (ADD)
Author: Ulrich Brennecke
Review: Waldemar Zdero, M.A. in Psychology (as of April 2024)
ADHD does not manifest the same way in everyone. Some people are primarily characterized by restlessness and impulsivity, others by inattention and daydreaming, and still others by both. These different manifestations are called presentation forms. They used to be called subtypes.
(ADxS assessment): The DSM-5 diagnostic manual distinguishes three forms of presentation:
- ADHD-HI: predominantly hyperactive and impulsive. People with ADHD are restless, often act before they think, and tend to overreact. This frequently leads to conflicts with others.
- ADHD-I: predominantly inattentive. This type used to be called ADD. People with this type daydream a lot, lose their train of thought easily, forget things, and avoid noisy groups. They don’t stand out much to others and are therefore often diagnosed late.
- ADHD-C: the combined type. In this type, both symptoms are pronounced—that is, inattention as well as hyperactivity and impulsivity.
(ADxS Assessment): The purely hyperactive form of ADHD-HI is diagnosed almost exclusively in younger children, typically up to about six or seven years of age. This is primarily because attention problems only become apparent when prolonged concentration is required in school. Children who are classified as having ADHD-HI when they are young are therefore often reclassified as having the combined type later on.
(ADxS assessment): The prevalence of each form depends heavily on who was studied. In large systematic reviews, all three forms are roughly of the same magnitude. In smaller individual studies, however, the figures vary considerably. This demonstrates one thing above all: chance plays a major role in the composition of the study groups.
Scientific: Prevalence of presentation formats in reviews and individual studies
(ADxS assessment): According to large systematic reviews, the prevalence of the various clinical presentations is as follows:
In children and adolescents: (review article, 13 meta-analyses comprising k = 588 primary studies, n = 3,277,590) (E 1a)1
ADHD-I: 35.76%
ADHD-C: 35.16%
ADHD-HI: 29.08%
In adults: (Review, 5 meta-analyses comprising k = 57 primary studies, n = 21,142,129) (E 1a)2 (E 1a)3
ADHD-I: 36.16%
ADHD-C: 18.82%
ADHD-HI: 45.02%
(ADxS assessment): The results surprise us, particularly with regard to the high prevalence of the hyperactive presentation in children and adolescents, and even more so with regard to its relative increase in adults, since motor hyperactivity in adults normally subsides.
(ADxS assessment): The review articles reported high ADHD-HI scores among adults, particularly in the United States and New Zealand, but not in Europe.
(ADxS assessment): Prevalence figures in small studies vary widely, illustrating the significant role that chance plays in the composition of the study populations in ADHD studies. The total row sums the study results, weighted by the number of participants in each study.
| Source / Subtype | ADHD-I | ADHD-C | ADHD-HI | n |
|---|---|---|---|---|
| (E 3)4 | 31.00% | 62.00% | 7.00% | 107 |
| (E 3)5 | 37.00% | 56.00% | 2.00% | 149 |
| (E 3)6 | 49.50% | 42.00% | 8.40% | 379 |
| (E 3)7 | 63.50% | 26.00% | 10.50% | 193 |
| (E 3)8 | 58.43% | 34.61% | 6.96% | 575 |
| Total weighted: | 52.35% | 39.78% | 7.31% | 1403 |
It is important to note that these presentation forms are not distinct disorders. The causes and brain mechanisms are very similar across all three forms. There is merely evidence suggesting that certain genetic factors are more likely to contribute to outwardly visible symptoms.(E 2b)9 The three forms—ADHD-HI, ADHD-I, and ADHD-C—are considered well-established. However, there is insufficient evidence to support a separate subtype involving social behavior disorders, as outlined in the older diagnostic manual, ICD-10. (E 4)10
(ADxS Assessment): In our view, the most important difference between the subtypes concerns the body’s response to stress. When under stress, the body releases, among other things, the hormone cortisol. In ADHD-I, this cortisol response tends to be too strong, while in ADHD-HI and ADHD-C, it tends to be too weak. This aligns with the outward behavior: Those who react strongly with cortisol tend to withdraw when under stress. Those who barely react tend to turn outward.
(ADxS assessment): We therefore view these presentation forms as different ways of responding to one and the same underlying disorder. Which form develops likely depends primarily on personality and on how one has learned to cope with stress, particularly on
- whether someone is more extroverted or more introverted,
- how sensitive someone is to stress,
- what one’s personal approach to coping with stress looks like, and
- how a person has learned to cope with stress from those around them.
Other mental disorders, such as depression or anxiety disorders, also exhibit these inward- and outward-directed manifestations. (E 4)11
The way the condition presents itself can change over the course of a person’s life. (E 2b)12 (ADxS experience): We know quite a few people with ADHD who report a significant change.
(ADxS Assessment): In addition to these three categories, researchers have proposed many other classifications, such as those based on brainwave patterns (EEG), emotional profiles, cognitive abilities, or comorbid conditions. None of these classifications has gained widespread acceptance so far. The second part of this article presents them. They do not currently play a role in everyday treatment.
(ADxS assessment): Four things in particular are relevant for people with ADHD:
- The presentation of ADHD provides insight into how the disorder manifests, but says nothing about the severity of a person’s symptoms or how well treatment works.
- ADHD-I is often overlooked because people with ADHD do not appear to have any outward symptoms. A late diagnosis does not mean that the symptoms are less severe.
- The way things are presented may change. It’s possible that someone’s perspective today is different from what it was ten years ago.
- There are currently no reliable measurement methods that could determine shape on a case-by-case basis. All of the measurements described below reveal differences between groups, not among individual people.
(ADxS Assessment): SCT (Sluggish Cognitive Tempo) is no longer considered a subtype of ADHD, but rather a distinct condition that frequently co-occurs with ADHD. We have dedicated a separate article to it: ⇒ CDS - Cognitive Disengagement Syndrome (SCT - Sluggish Cognitive Tempo)
1. Presentation Forms (Subtypes) of ADHD Based on Symptoms
Implications for People with ADHD
This section describes how the three presentation types of ADHD manifest in everyday life, which symptoms are typical of each type, and which accompanying problems occur more frequently. It is important to note that no one exhibits all of the characteristics mentioned, and individual characteristics alone do not constitute a diagnosis. At the end of this section, there are numerous additional classification proposals from research. So far, these have no bearing on treatment.
The literature primarily identifies three presentation forms (subtypes) of ADHD: ADHD-I (1.1.), ADHD-HI (see 1.2.), and ADHD-C (see 1.3). While the ADHD-HI subtype likely represents merely an early form of the combined type, Sluggish Cognitive Tempo (SCT) is increasingly recognized as a distinct disorder. The forms described sporadically below are unlikely to represent true subtypes and are mentioned here solely for the sake of completeness.
Regardless of the classification of ADHD-I, ADHD-HI, and ADHD-C based on observed symptoms, there is a classification system based on different measured EEG patterns ⇒ ADHD Subtypes Based on EEG. This classification has not yet gained widespread acceptance, even though it could be measured using objective biomarkers. To date, there is a lack of experience regarding the different symptom presentations of the EEG subtypes and how they respond to specific treatments. An attempt to automatically distinguish between presentation types based on their EEG patterns using AI failed. (E 3)13 Furthermore, only 84% of people with ADHD could be distinguished from people without the condition.
1.1. ADHD-I: predominantly inattentive type
In ADHD-I, attention problems are the primary concern, not motor restlessness. Typical symptoms include daydreaming, forgetfulness, a slower work pace, difficulty keeping track of multiple tasks, and organizational problems. Restlessness can manifest internally. Because people with this form of ADHD barely cause outward disruption, ADHD-I is often diagnosed late (particularly frequently in girls and women). This does not mean that the burden is any less severe. It is also notable that many people with ADHD react strongly to stress and tend to withdraw when under pressure.
1.1.1. Other names for the ADHD-I subtype
- ADHD-I (the term we use today)
- ADS (colloquial term; we used to use it)
- ADD (an older, colloquial international term)
- ADHD-PI (predominantly inattentive)
- Hypoactive (Prof. Simchen)
- Daydreamer (colloquial, descriptive)
- Underactive (easily distracted due to boredom)
1.1.2. Specific Symptoms of ADHD-I
Implications for People with ADHD
This list describes what is more common in ADHD-I than in the other forms. It is not a checklist: No one has all of these symptoms, and individual symptoms alone do not constitute a diagnosis.
(ADxS assessment): Four points are most important for everyday life.
First: The symptoms are internal. People with ADHD withdraw rather than draw attention to themselves.
Second: Thinking isn’t slow, but decision-making takes longer.
Third, many people with ADHD have strong physical reactions to stress, which further impairs their concentration and memory.
Fourth: Because this form causes few symptoms, it is often not detected until late in the course of the disease (especially in girls and women). A late diagnosis does not indicate the severity of the condition.
ADHD is a cluster of symptoms. The symptoms do not clearly distinguish one presentation type (subtype) from another. In ADHD-I, inattention predominates over hyperactivity, impulsivity, and restlessness.
-
, ages 3 to 6 (E 4)14
- Requests are not being acted upon
- therefore does not comply with requests
- dreamy
- stares into space
- has a hard time keeping himself occupied with anything
- Daydreaming
- My mind wanders
- Noisy group situations tend to be perceived as unpleasant
- Reluctance to change established routines
- Aversion to rapid changes; needs time to adjust to new situations
- Requests are not being acted upon
-
Ages 6 to 10: (E 4)15
- Inattention
- is therefore sometimes unable to follow along in class
- has difficulty understanding some of the material covered in class
- Difficulty concentrating
- based on a teacher’s presentation
- on one’s own work
- seems dreamy
- lack of active participation
- Inattention
-
, ages 10 to 20: (E 4)15
- possible improvement in attention due to continued brain development
- Attention problems persist, at least to some extent
and are still perceived as very stressful
Regardless of age:
- The ADHD-I subtype tends to be more introverted (in contrast to the more extroverted ADHD-HI subtype) (E 4)16
- internalizing (E 4)17
- shy (E 4)18
- increased vulnerability to internalizing disorders (E 4)19
e.g.,- Anxiety Disorders
- Depression
- Social problems associated with the ADHD-I subtype arise from (E 4)16
- excessive shyness
- Passivity
- Introversion
- Being quiet
- Disorders primarily in working memory and auditory processing, which places high demands on working memory. (E 4)20
- Common comorbid disorders associated with the ADHD-HI subtype (E 4)21
- Specific learning disabilities are more common
- Reading and Spelling Difficulties
- Dyscalculia (mathematical learning disability)
- Often perform better in spatial reasoning and artistic drawing than in verbal skills. (E 4)22
- More bored than easily distracted. (E 4)23
- Problems with motivation rather than problems with inhibition. (E 4)24
- Tends to have a high level of self-awareness. (E 4)24
- Lethargic states (to be distinguished from depression) (E 4)25
- A significant subset of ADHD-I is said to have slowed thinking (sluggish) (E 4)24
(ADxS Assessment): We consider the term “slowed thinking” to be inaccurate and inappropriate. We observe slowed decision-making. The ability to think quickly is fundamentally present. We suspect an excessive blockade of the PFC by norepinephrine and, possibly, other neurotransmitters via the alpha-1 adrenoceptor. SCT is no longer considered a subtype of ADHD, nor is it considered specific to ADHD-I.
- More frequent allergies due to an excessive cortisol response. Cortisol supports the immune system’s defense against external stressors.
- Conditions associated with hypercortisolism include (E 4)26
- Depression
- Anxiety Disorder
- Anorexia
- Alcoholism
- Metabolic Syndrome
- Learning Disabilities
- more common than in ADHD-HI (E 4)17
- A high cortisol response to acute stress, as is typical of ADHD-I, correlates with poorer memory performance when learning vocabulary after exposure to stress (though only in men). Women may be protected against this by their sex hormones. (E 4)27 Cortisol administration also impaired learning performance.
Cortisol, which is often elevated in ADHD-I as a stress response, blocks the retrieval of declarative (explicit) memory via the glucocorticoid receptors (GR) in the PFC and hippocampus. Non-declarative (implicit, intuitive) memory is not impaired. (E 4)28 This could explain the more frequent thinking and memory blocks seen in ADHD-I, as well as why people with ADHD-I often seem to possess greater intuition. In any case, it would seem obvious that a shift in the focus of memory abilities would lead to a shift in problem-solving patterns. Trappmann-Korr refers to this as “holistic” perception.
It is likely that not only retrieval (recall) but also acquisition (learning) and memory consolidation (long-term storage) of information are impaired. Consolidation occurs primarily during sleep in the first half of the night, which is characterized by particularly low basal cortisol levels. Consolidation can be inhibited by low cortisol administration. (E 4)28
-
Attention problems
- Sustained attention (ADHD-HI and ADHD-I subtypes)
- selective attention (ADHD-I subtype only) (E 4)29
-
Negative symptom criteria for ADHD-I:
-
Externalizing behavioral disorders and aggressive behavior are atypical in ADHD-I and indicate the ADHD-HI subtype. (E 4)30.
-
ADHD-I is diagnosed less frequently because its symptoms—which involve internalized stress management and are “convenient” for the environment—are less likely to be noticed in an unpleasant way. Furthermore, research is hampered by the fact that many studies do not differentiate their results by presentation type (subtypes) and, in particular, do not distinguish ADHD-C from ADHD-I.
-
Oppositional defiant behavior occurs less frequently as a comorbidity than in the ADHD-HI subtype. (E 4)16
-
A lower proportion of smokers than in the ADHD-HI subtype. (The mechanisms of action of nicotine and methylphenidate are similar.) (E 4)24
-
rare inflammatory reactions, such as atopic dermatitis, resulting from an excessive cortisol response. Cortisol inhibits the inflammatory processes initiated by CRH and instead promotes the body’s defense against foreign substances; when cortisol levels become excessive, this can manifest as allergies
-
Tests of auditory neuropsychological functions using the Integrated Visual and Auditory Test (IVA) show (E 3)33
- Individuals with ADHD-I have poorer auditory attention compared to those without the condition
- ADHD-I has better outcomes than ADHD-C
- auditory attention
- Reaction control
- sustained attention
- Prudence
- Consistency
-
For more information on the required frequency and intensity of ADHD symptoms, visit ⇒ ADHD Symptoms in Children by Age.
1.1.3. More Omission Errors in the CPT
In a computer-based attention test, people with ADHD-I are more likely to make mistakes because they fail to respond. People with ADHD-HI or ADHD-C are more likely to make mistakes because they respond too quickly. This is consistent with what we observe in everyday life, but it is not suitable as a diagnostic tool. These differences apply to groups, not to individuals.
ADHD-I correlates with more omission errors in the Continuous Performance Test (CPT). (E 4)34
ADHD-HI / ADHD-C, on the other hand, correlate with more commission errors.
1.1.4. Special Considerations Regarding Medication
(ADxS Assessment): Whether ADHD medications are effective—and to what extent—cannot be predicted based on their formulation. There is evidence that lower doses are sometimes sufficient for ADHD-I and that some people with ADHD respond better to amphetamine-based medications than to methylphenidate. However, it is disputed whether the response rates differ at all.
The right medication and the right dose can only be determined through careful trial and error under a doctor’s supervision. If one medication doesn’t work, that doesn’t mean that no medication will work.
- MPH-Responding
- A significant proportion of people with ADHD-I respond better to amphetamine medications than to MPH.
- The following may also be helpful:
- Nortriptyline
- Bupropion (if stronger stimulation is needed)
1.1.5. Neurophysiological Characteristics of ADHD-I
(ADxS Assessment): This section explains what might be different in the body in cases of ADHD-I. One of the most important points is that, in ADHD-I, the cortisol response to stress is often too strong. This explains why concentration and memory suffer particularly under stress and why rest and avoiding stimuli often help more than exertion.
(ADxS assessment): The other factors (neurotransmitters, receptors, genes) are still under investigation. None of them can be measured or treated. They may explain why the forms differ, but so far they do not contribute to diagnosis or treatment.
1.1.5.1. Elevated Cortisol Stress Response in ADHD-I
ADHD-I appears to be frequently associated with a particularly strong cortisol response to acute stress. ⇒ Changes in Cortisol Levels in ADHD in: Cortisol and Other Stress Hormones in ADHD
1.1.5.2. Stress Responses Involving Cortisol, Norepinephrine, and Dopamine
Underactivation of the PFC in ADHD-I can be explained by the fact that the stress responses of cortisol, norepinephrine, and dopamine in the brain are correlated. For more on this, visit ⇒ Neurotransmitters and Stress
Scientific: The Interplay of Cortisol, Norepinephrine, and Dopamine in the Prefrontal Cortex
A sharp increase in norepinephrine and dopamine shuts down the PFC. This deactivation of the PFC is mediated by alpha-1 adrenoceptors, which have a lower affinity for norepinephrine and cortisol than alpha-2 adrenoceptors and are therefore activated only at very high levels of norepinephrine and cortisol.(E 2b)36 (E 2b)37 (E 2b)38 (E 2b)39 (E 2b)40
(ADxS assessment): A particularly sharp increase in DA and NE during periods of severe stress could therefore lead to (frequent) underactivation of the PFC, as is typical in ADHD-I.
Against this backdrop, Raynaud’s phenomenon and high blood pressure issues in some people with ADHD-I—which are also mediated by alpha-1 adrenoreceptors—could be explained.
The question is whether alpha-1-adrenoceptor antagonists—which are successfully used to treat Raynaud’s phenomenon and high blood pressure—might also be helpful in treating PFC blockages associated with ADHD-I.
To date, only alpha-2-adrenoceptor agonists have been used, which are generally considered third-line choices of medication. Guanfacine targets alpha-2-A and alpha-2-D adrenoreceptors, while yohimbine targets alpha-2-B adrenoreceptors. Stimulation of the higher-affinity alpha-2 receptors has an effect opposite to that of blocking the alpha-1 receptors. As with cortisol receptors, the less-affine receptor is responsible for shutting down the system and is activated only when very high levels of the neurotransmitter are present. If the more-affine receptors are overly active, the less-affine shutdown receptors are not activated.
Guanfacine and yohimbine bind to the more specific alpha-2 receptors, leaving more neurotransmitter available for the less specific alpha-1 receptors, which are thus more easily activated.
1.1.5.3. CRH
CRH also affects the PFC and, at high levels, can impair its function.
Elevated cortisol responses to a stressor correlate with increased variance in response time. (E 3)41 Increased variance in response times could be explained by impaired PFC function, which is particularly pronounced in the ADHD-I subtype. This impairment could also be explained by increased norepinephrine responses to acute stress, analogous to the cortisol response. Some clinicians pay particular attention to this variance in response times when diagnosing ADHD-I.
Cortisol leads to a decrease in cortisol and norepinephrine. This negative feedback is the consequence of cortisol (which shuts down the HPA axis again) and is independent of the synchrony of cortisol and norepinephrine release in response to stress.
1.1.5.4. Dopamine receptors
The dopamine D4 receptor (DRD4) plays a particularly important role in the PFC, which is why Diamond (E 4)42 posits that a disorder in the DRD4 7R gene is associated with ADHD-I. We do not believe this to be accurate.
Scientific: Dopamine receptors DRD4 and DRD2, novelty seeking, and sensation seeking
Noble found that the gene polymorphisms A1, B2, and intron 6 1 of DRD2, as well as the DRD4 7R polymorphism, are associated with an increased novelty-seeking (sensation-seeking) score. However, none of these polymorphisms correlated with a high Harm Avoidance Score (BIS), as is typical for ADHD-I. (E 3)43
High rates of novelty seeking and sensation seeking are associated with a strong aversion to boredom and correlate with impulse control disorders.(E 4)44 Boredom is a cause of inattention in ADHD-I, whereas disorders in the control of behavioral impulsivity are atypical for ADHD-I and more typical of ADHD-HI and ADHD-C.
1.1.5.5. Serotonin decreases
A serotonin deficiency is often thought to be present in ADHD-I. (E 4)45
One study found a strong association between the L/L genotype of the 5-HTTLPR gene and ADHD-C and ADHD-HI, while the 5-HTTLPR L/L genotype showed no difference. (E 1b)46
The 5-HTTLPR L/L genotype is associated with hyperactivity symptoms. (E 3)47
A study reports a correlation between the presence of the 5-HTTLPR-S allele and inattention. (E 3)48
1.1.5.6. Orexin A reduces
The ADHD-I subtype may have lower levels of orexin A than the ADHD-HI subtype and than non-affected individuals. (E 3)49 For more information on orexin, visit ⇒ Orexin / Hypocretin In the section ⇒ Hormones in ADHD in the chapter ⇒ Neurological Aspects.
1.1.6. EEG Findings in ADHD-I
See “ADHD Subtypes Based on EEG” below for more information.
1.1.7. Sluggish Cognitive Tempo (SCT) as a Distinct Disorder
SCT describes a state characterized by dreaminess, slowness, and mental absent-mindedness.
SCT is now considered a distinct disorder separate from ADHD, even though SCT and ADHD very often occur together. However, there are people with SCT who do not have ADHD.
If you recognize yourself in the description of ADHD-I but, above all, struggle with lethargy and daydreaming, it’s worth taking a look at the linked post.
Learn more about SCT at ⇒ SCT (Sluggish Cognitive Tempo).
1.2. ADHD-HI: predominantly hyperactive/impulsive subtype
In this subtype, restlessness and impulsivity are the primary characteristics. People with ADHD act before they can think, interrupt others, get angry quickly, and are more likely to get into conflicts. This subtype becomes apparent early on and is therefore usually diagnosed early. Pure ADHD-HI occurs almost exclusively in younger children. Later on, attention problems almost always develop, resulting in the combined type. An important difference from ADHD-I: The body’s stress response tends to be too weak in this case.
1.2.1. Other names
- ADHD-HI (as used by us)
- ADHD-H/I (hyperactive/impulsive)’
- ADHD-PH (predominantly hyperactive/impulsive)
- ADHD (colloquially used as the counterpart to ADD; however, it encompasses both ADHD-HI and ADHD-C. It competes with the colloquial use of ADHD as an umbrella term for all subtypes)
- Fidgety Phil (colloquial term; however, it also applies to ADHD-C)
1.2.2. Specific symptoms
This list describes the symptoms that occur more frequently in ADHD-HI.
The symptoms are directed outward. This leads to conflicts within the family, at school, and at work, and these conflicts are usually more stressful than the symptoms themselves. Impulsivity leads to reactions that people with ADHD often regret afterward. This is not a character flaw, but rather part of the disorder. Because this form becomes apparent at an early age, it is more easily recognized early on (more frequently in boys than in girls).
- a pronounced manifestation of
- Hyperactivity
- Impulsivity
- no inattention
- if inattention is present in addition to hyperactivity/impulsivity: ADHD-C, see below
- Social problems are very common
- occur because of the ADHD-HI subtype
- offends others
- takes things away from them
- can’t wait for his turn
- comes across as too direct and assertive
- behaves in a disruptive manner and
- acts without considering the feelings of others (E 4)50
- occur because of the ADHD-HI subtype
- more extroverted (in contrast to the more introverted ADHD-I subtype) (E 4)17 (E 4)16
- Frequent behavioral disorders and (comorbid) aggressive behavior (E 4)51.
- Common comorbidities associated with oppositional defiant disorder (E 4)24
- Disorders primarily involving behavioral inhibition (E 4)24 and executive functions (E 4)52
- Is more easily distracted than bored (E 4)24
- Has more of an inhibition problem than a motivation problem. (E 4)24
- A tendency toward low self-awareness (E 4)24
- Good response to methylphenidate.
- The nonresponder rate (MPH is ineffective) is estimated to be 10 percent (E 4)53, compared to the usual overall rate of 20 to 30 percent.
- The striatum is primarily affected. The fact that DAT1 plays an important role in the striatum and that MPH primarily acts on DAT explains the positive effect of MPH in ADHD-HI. (E 4)24
- A higher proportion of smokers than in the ADHD-I subtype. (Like methylphenidate, nicotine acts as a stimulant.) (E 4)24
- The hyperactive/impulsive subtype is often merely a precursor in childhood or adolescence to later ADHD-C (E 4)54 (E 4)55
- Boys are 5 times more likely to be affected than girls (E 4)56.
Negative Symptom Delimitation in ADHD-HI:
- If inattention and hyperactivity (the latter also referred to as inner drivenness) are present, the condition known as ADHD-C is diagnosed.
Inattention can usually only be diagnosed between the ages of 6 and 15. ADHD-HI (with hyperactivity but without attention problems) can therefore be considered an early form of the later combined type. (E 4)54 (E 4)57
(ADxS Assessment): The higher the level of giftedness, the better the coping mechanisms. The older the people with ADHD are, the more individual symptoms may have remitted, which is why inattention that is absent in test settings (but well-masked) does indeed occur. Similarly, the people with ADHD’s high intrinsic interest in the tests leads to a leveling of test performance compared to people without ADHD. This is plausible when considering the stress-related benefits and, consequently, the mechanisms underlying the stress symptom of inattention.
- In ADHD-HI, allergies appear to occur less frequently than in the ADHD-I subtype, likely due to the more commonly blunted cortisol response to stress. Cortisol enhances the immune response to external stressors such as allergens.
1.2.3. More pulse errors in the CPT
The attention test reveals a picture of everyday life: reactions that are too quick rather than impulsive ones. Here, too, the test cannot determine the form of presentation.
ADHD-HI / ADHD-C correlate with more commission errors in the Continuous Performance Test (CPT). (E 4)34
(No evidence): ADHD-I, on the other hand, correlates with more omission errors
1.2.4. Neurophysiological Characteristics of ADHD-HI / ADHD-C
Implications for People with ADHD
(ADxS assessment): In ADHD-HI and ADHD-C, the cortisol response to stress is often too weak—the exact opposite of what is seen in ADHD-I. A weak stress response does not mean that a person is under less stress. It means that the body is not responding appropriately.
(ADxS Assessment): The other points (cannabinoid system, hippocampus, brain volume, thyroid levels, physical activity) are based on research findings from mostly small-scale studies, some of which were animal studies. At this time, no recommendations for individual cases can be derived from this information.
In ADHD-HI (with hyperactivity/impulsivity) and similarly in cases of associated aggression, the release of catecholamines and cortisol in response to acute stressors is often reduced or absent compared to non-affected individuals, whereas the cortisol stress response in people with ADHD-I is typically elevated compared to people without the condition.
1.2.4.1. A Flattened Cortisol Stress Response in ADHD-HI / ADHD-C
ADHD-HI is often associated with a blunted cortisol response to acute stress. ⇒ Cortisol in ADHD
-
Conditions associated with hypocortisolism include: (E 4)26
- Atypical depression
- Inflammatory problems (E 4)58 are more common than in the ADHD-I subtype. Cortisol inhibits the CRH-mediated inflammatory response
- e.g., irritable bowel syndrome
- e.g., atopic dermatitis
- Fatigue
- Cortisol inhibits the pro-inflammatory effects of CRH
- Cortisol stimulates cytokines such as interleukin 1 and 6. This leads to “sickness behavior” (as seen with a fever):
- Exhaustion
- Lack of initiative
- Fatigue
- e.g., Chronic Fatigue Syndrome
- e.g., burnout
- Sensitivity to pain
- Cortisol inhibits prostaglandin synthesis (= disinhibition of prostaglandins)
- Prostaglandins modulate pain perception
- resulting in a systemic lowering of the pain threshold (pain symptoms “wander”)
- Hypocortisolism can promote inflammatory processes in the spinal cord (chronic pain)
- e.g., fibromyalgia (E 3)59
- e.g., chronic lower abdominal pain
- Stress intolerance
- Cortisol inhibits the locus coeruleus, thereby reducing norepinephrine release in the CNS
- A low cortisol response results in reduced inhibition of norepinephrine = loss of an important stress-regulating mechanism
- Hypocortisolism thus causes stress intolerance, irritability, and sensitivity to sensory stimuli (noise, etc.)
- Hypocortisolism could promote the development of intrusions such as those observed in PTSD (E 3)60
-
Inadequate HPA axis suppression in ADHD-HI / ADHD-C
- Since cortisol not only mediates stress symptoms but also shuts down the HPA axis, a reduced cortisol stress response results in a lack of a brake on the HPA stress system.
⇒ The HPA Axis / Stress Regulation Axis And ⇒ The Autonomic Nervous System.
- Since cortisol not only mediates stress symptoms but also shuts down the HPA axis, a reduced cortisol stress response results in a lack of a brake on the HPA stress system.
1.2.4.2. Reduced CB1 Receptors in Impulsivity
-
Children with SHR exhibit behavioral subgroups corresponding to ADHD-HI and ADHD-I
- A study identified subgroups of SHR (spontaneously hypertensive rats) that differed significantly in terms of impulsivity. Impulsive SHR showed, compared to non-impulsive SHR and WKY (used as controls, in which no behavioral subgroups were found) (E 2b)61
- reduced norepinephrine levels
- in the cingulate cortex
- in the medial frontal cortex
- reduced serotonin turnover
- in the medial frontal cortex
- reduced density of CB1 cannabinoid receptors
- in the PFC
- A single administration of a cannabinoid agonist reduced impulsivity in impulsive SHR, with no change observed in WKY rats
- reduced norepinephrine levels
- A study identified subgroups of SHR (spontaneously hypertensive rats) that differed significantly in terms of impulsivity. Impulsive SHR showed, compared to non-impulsive SHR and WKY (used as controls, in which no behavioral subgroups were found) (E 2b)61
-
Inadequate HPA axis suppression in ADHD-HI / ADHD-C
- CB1 receptors are essential for the downregulation of the HPA axis. CB1 antagonists prevent the rapid feedback regulation mediated by GR antagonists, which initiates the downregulation of the HPA axis.
- CB1 receptors regulate the HPA axis:
- A disorder in the CB1 gene caused hyperactivity of the HPA axis (E 2b)62
- Endogenous cannabinoids appear to inhibit the HPA axis via CB1 receptors in the brain
- Anandamide
- Endogenous cannabinoids inhibit the basal activity of the HPA axis and suppress its stress-induced activity via the hypothalamus, pituitary gland, and adrenal cortex. Stimulation of central cannabinoid receptors leads to activation of the sympathetic nervous system (E 2b)63
- Activation of peripheral CB1 receptors inhibits the release of norepinephrine from sympathetic terminals and the release of epinephrine from the adrenal glands (E 2b)63
- Endogenous CB1 agonists have an anxiolytic effect and prevent the onset of pathological anxiety (E 2b)63
- CB1 may not influence adaptation to daily chronic stress (E 2b)65
- CB1 mediates the rapid downregulation of the HPA axis by GR agonists (endocrine feedback loop), in this case by dexamethasone (E 2b)66 (E 2b)67 CB1 antagonists block this downregulation.
1.2.4.3. Reduced Norepinephrine Breakdown in ADHD-HI / ADHD-C?
Cortisol also causes the breakdown of norepinephrine.
(ADxS assessment): An insufficient cortisol response to acute stress and the resulting inadequate breakdown of norepinephrine could potentially explain the persistent overactivation of the PFC in ADHD-HI/ADHD-C.
A slightly elevated level of (dopamine and) norepinephrine in the PFC increases its activation and leads to improved cognitive performance. (E 2b)68 (E 2b)69 (E 2b)70 (E 2b)71 (E 3)72 Only a sharp increase in norepinephrine/dopamine shuts down the PFC. (E 2b)36 (E 2b)37 (E 2b)38 (E 2b)39 (E 2b)40
1.2.4.4. Reduced hippocampal volume in ADHD-HI / ADHD-C
A fairly extensive study reported a reduced hippocampal volume in ADHD-HI compared to ADHD-I and non-affected individuals: (E 2b)73
* ADHD-HI: Reduction in hippocampal regions
* CA1
* CA4
* Molecular layer
*, the granular cell layer of the dentate gyrus
* Presubiculum
* Subiculum
* Hippocampus tail
*; other regions of the hippocampus were not reduced in size
* ADHD-I: No Reliable Differences in Hippocampal Volume Compared to Controls
* Finally, smaller hippocampal regions correlated with higher behavioral ADHD indices. For example, a smaller subiculum correlated with a higher total ADHD-HI index, higher hyperactivity/impulsivity, and a lower IQ.
1.2.4.5. Indoleacetic acid in ADHD-HI / ADHD-C
A study found that people with ADHD-HI and comorbid depressive symptoms had significantly higher morning levels of indoleacetic acid than evening levels. MPH reduced this by 50%. At the same time, MPH reduced morning levels of indolepropionic acid and brought the daily profile back in line with the levels observed in healthy control subjects. (E 2b)74
1.2.4.6. TSH, Serum Ferritin, Lactic Acid in Hyperactivity (ADHD-HI / ADHD-C)
Among 49 children with ADHD, both with and without hyperactivity, the following was found: (E 3)75
- TSH correlated with Conners-3 scale scores (ADHD)
- so clear that diagnostic use might be conceivable
- TSH, serum ferritin, and lactate correlated with the HI value
- TSH and lactic acid were independently associated with HI
1.2.4.7. Volume of the Gray Matter
A study found differences in gray matter volume (GMV) among ADHD subtypes: (E 3)76
- ADHD-C: GMV significantly increased
- compared to ADHD-I
- in the left caudate nucleus
- compared to those who are not affected
- right precentral gyrus
- right inferior frontal gyrus
- right superior frontal gyrus
- left cingulate gyrus
- compared to ADHD-I
- ADHD-I: GMV significantly increased in
- compared to those not affected
- right cingulate gyrus
1.2.4.8. DlPFC Activation During Movement While Performing Executive Functions
Children with ADHD completed a Stroop test as an executive function task while sitting still or pedaling on a desk bike. Changes in oxygenated and deoxygenated hemoglobin in the left DLPFC differed according to ADHD subtype, ADHD severity, and gender: (E 3)77
- Individuals with ADHD-HI, ADHD-C, and severe ADHD, as well as men, showed greater dlPFC activation during the executive task while engaging in physical activity than while sitting still.
- ADHD-I, mild and moderate ADHD, and women showed greater dlPFC activation during the executive task while sitting still than during physical activity
- In women with ADHD-I, inhibitory control improved when they sat still.
1.2.5. EEG Findings in ADHD-HI
See the section below on “Presentation Forms (Subtypes)” for ADHD based on EEG.
1.3. ADHD-C (a mixed type of ADHD-HI and ADHD-I)
(ADxS Assessment): The mixed-type ADHD-C is the most common form among children who seek treatment. In this type, both areas are strongly pronounced. Within this group, researchers further distinguish whether a person primarily has difficulty inhibiting actions (action impulsivity), or primarily has difficulty waiting for a reward (choice impulsivity), or both, or neither. It is noteworthy that these subgroups appear almost identical from the outside but differ significantly in the brain. This suggests that different underlying mechanisms may be responsible for the same set of symptoms.
- pronounced symptoms in both core symptom areas:
- Hyperactivity (visibly evident in children, but more often manifested as inner restlessness in adults) AND impulsivity
- Inattention
- Problems with sustained attention (ADHD-C and ADHD-I)
- fewer problems with selective attention (ADHD-I subtype only) (E 4)29
- Largely corresponds to the hyperkinetic disorder as defined in ICD-10.2.3.1. Subgroups of ADHD-C
A large-scale study of adolescents identified three subgroups of ADHD-C in which the specific symptoms were accompanied by changes in brain structure—as measured by fMRI—in the brain systems known to be involved in these cognitive functions. (E 3)78
A small study replicated earlier findings indicating that frontal delta and theta power is higher in the ADHD-C group than in the ADHD-I and TD groups. (E 3)79
The following sections describe subgroups within the mixed type. This classification is based on research and is not used in practice. It is noteworthy that these subgroups differ barely in behavior but show significant differences in brain activity. This suggests that the same behavior can have different causes.
1.3.1. ADHD-C with inhibitory control deficits, without reward deficits
“Inhibitory deficits” refers to deficits in executive functions and inhibitory cognitive functions.
Hypofunction within
- various frontal lobes
- Parietal lobe
- subcortical
- Cerebellar regions
in the inhibition of motor responses
and
Anomalies
- the posterior default mode
- in the ventral striatum
during error handling.
Executive function deficits are also evident in other studies. (E 3)80 (E 1a)81 (E 1a)82 (E 2b)83
Hypothyroidism in
- frontal gyrus
- pre-supplementary motor area (pre-SMA)
- middle frontal gyrus
- precentral frontal gyrus
- Insula
- Caudates
- Thalamus
Hyperfunction in the
- inferior frontal gyrus
- postcentral gyrus
- Precuneus
1.3.2. ADHD-C with inhibitory control deficits and reward processing deficits
This subgroup experiences both difficulties at the same time: restraining their actions and waiting for a reward. In everyday life, this manifests as particularly pronounced impatience combined with impulsive behavior. This classification is based on research and is not used in practice.
Overactivation in
- cortical and subcortical regions that generally do not overlap
during error handling, as well as
- overactive amygdala regions and
- overactive ventral striatum regions,
when they made an effort to earn rewards.
1.3.3. ADHD-C without reward deficits and without inhibition deficits
(No evidence): This was the most common subgroup. Consistent with the absence of the specific symptoms mentioned, no neurological abnormalities were found.
1.4. Other ADHD Classifications
This section compiles numerous other proposed classification systems, such as those based on emotional profiles, cognitive abilities, brain findings, or comorbid conditions. These represent the current state of research, not diagnostic practice. This suggests that the current classification is not the only possible approach. This currently has no practical consequences for diagnosis or treatment.
The “subtypes” listed below, which have been mentioned sporadically in the literature, do not represent true presentation forms (subtypes) of ADHD, but rather possible grouping models that categorize more typical forms of ADHD.
1.4.1. ADHD-RI: Restrictive-Inattentive Subtype
(ADxS assessment): This refers to a particularly “pure” form of inattention with almost no hyperactivity. Background: The standard ADHD-I category includes people with up to five hyperactive symptoms. ADHD-RI has stricter criteria. Individuals with ADHD have poorer sustained attention but better impulse control than others. To date, this distinction has not played a role in diagnosis.
(No evidence): ADHD-RI was not included as a presentation type in DSM-5 due to a lack of robust neurobiological data.
(No evidence): ADHD-RI differs from ADHD-I and ADHD-C in the following ways:
- fewer externalizing behaviors (E 3)84
- possibly due to less impairment of the DMN and/or greater impairment of the salience network (E 3)84
- Impaired sustained attention (E 3)84
- improved reaction inhibition (E 3)84
- The ADHD-RI group exhibited a neuropsychological profile that was significantly different from that of the other groups, including a
- reduced psychomotor speed (E 3)85
- longer response times (E 3)85 (E 3)86
- the lowest overall score on the global neurocognitive index (E 3)85 (E 3)86
- a lower neurocognitive index than SCT (p < 0.001) (E 3)86
- a significantly higher proportion with a DRD4-7-repeat allele (E 3)85
- Attention-related posterior brain regions (particularly temporal-occipital areas) were more strongly activated in response to both “Go” and “No-Go” cues than in controls and ADHD-I (E 3)85
- slower psychomotor speed than SCT (E 3)86
- Only SCT was independently associated with poorer overall memory performance (E 3)86
1.4.2. ADHD with oppositional defiant disorder (?)
(ADxS Assessment): Oppositional behavior (i.e., frequent contradicting, defiance, and arguing) is common in ADHD-HI and ADHD-C. In our view, however, it is not a distinct form of ADHD, but rather a comorbid condition.
A comorbid condition is treated in addition to, and in conjunction with, other medications and forms of therapy.
(ADxS assessment): In our view, oppositional defiant disorder is a comorbidity that occurs primarily in individuals with ADHD-HI and is not a subtype of ADHD-HI.
Significantly, even those who accept that there are presentation forms (subtypes) of ADHD associated with oppositional defiant disorder describe this condition only in connection with the ADHD-C and ADHD-HI subtypes, but not with the (stress-phenotypically introverted) ADHD-I subtype.
1.4.3. Rage Type (?)
The “rage” type is rarely described as a distinct category. It is thought to refer to ADHD-HI with aggressive comorbidities.
Similarly, a subtype characterized by increased emotional excitability/irritability has been proposed. (E 2b)87
1.4.4. Residual Type
The term “residual type” refers to people with ADHD who have the condition only partially evident in adulthood—that is, who exhibit ADHD that has partially remitted, is no longer fully pronounced, but is still present.
This does not automatically rule out a diagnosis, and treating the remaining symptoms may still be appropriate.
1.4.5. ADHD Adult Type Pairs According to Reimherr
Reimherr classifies adults based on whether their primary issues are attention problems or difficulties managing their own emotions. According to this perspective, suffering from severe mood swings, irritability, and the feeling of being unable to control one’s own emotions is a core characteristic of a specific subtype.
In eight replication studies involving 1,490 people with ADHD, Reimherr et al. identified two clusters: the inattentive adult subtype and the emotionally dysregulated adult subtype. (E 2b)88. The findings are consistent with an earlier study by the authors.(E 2b)89 Both presentation forms (subtypes) benefited equally from MPH treatment.
1.4.5.1. The “Inattentive Adult” Type
- inattentive
- emotionally dysregulated
1.4.5.2. Emotionally Dysregulated Adult Type
Emotional dysregulation manifests itself, among other things, in
- Anger
- emotional lability
- emotional overreactivity
1.4.6. ADHD Presentation Types (Subtypes) Based on Internalizing/Externalizing Symptoms
(ADxS assessment): This classification is based on symptoms directed inward and outward.
In the underlying study, nearly six out of ten children also had an autism spectrum disorder. The group with the most pronounced symptoms is therefore primarily characterized by autistic traits, which significantly limits the generalizability of the findings to ADHD without autism.
Katsuki et al. describe four ADHD subtypes based on a cluster analysis of emotional and behavioral symptoms in children aged 4 to 15 with ADHD: (E 2b)90
- “Highly internalizing/externalizing”
- Overlap between internalizing and externalizing symptoms
- possibly mediated by emotional dysregulation and associated neurophysiological correlates
- high rate of comorbid autism spectrum disorders
- increased autistic traits
- Overlap between internalizing and externalizing symptoms
- “Inattention and Internalization”
- high rate of predominantly inattentive ADHD (ADHD-I)
- “Aggression and Externalization”
- high rate of comorbid oppositional defiant behavior
- high rate of comorbid behavioral disorders
- “Mild Psychopathology”
- low scores on all syndrome scales
1.4.7. ADHD Groups by Symptom Severity
This classification is organized by severity and lists the associated conditions for each category. The percentages should not be interpreted to mean that specific associated conditions belong to specific groups.
Scientific: Seven latent classes with frequencies and comorbidity rates
Volk et al. defined seven subtypes. (E 2b)91 (E 2b)92 The data are presented by frequency (% in parentheses). In addition, the prevalence of comorbid conditions—depression, ODD (Oppositional Defiant Disorder), and CD (Conduct Disorder)—within each respective group is indicated.
The authors explicitly emphasize that comorbidities were present in all groups and did not occur more frequently in any particular group.
- “mild ADHD symptoms” (53.4%)
- “mild inattention” (12.3%)
of which- comorbid depression 9.3%
- comorbid ODD 7.7%
- comorbid CD: 6.2%
- “severe inattention” (12.1%)
- comorbid depression: 6.6%
- comorbid ODD: 24.5%
- comorbid CD: 10.2%
- “mild combined symptoms” (6.6%)
- comorbid depression 10.7%
- comorbid ODD: 30.2%
- comorbid CD: 13.6%
- “severe combined symptoms” (6.1%)
- comorbid depression 8.3%
- comorbid ODD 56.6%
- comorbid CD: 12.5%
- “talkative and impulsive” (6.5%)
- comorbid depression 1.9%
- comorbid ODD: 24%
- comorbid CD: 4.9%
- “Hyperactive” (3%)
- comorbid depression 4.4%
- comorbid ODD: 16.7%
- comorbid CD: 2.2%
1.4.8. ADHD Groups Based on Emotional Profiles
This classification is based on emotional characteristics: a low-key group, an adventurous group, and an irritable group. Over time, the irritable group is more likely to develop additional medical conditions. Interestingly, this classification has remained more stable over the years than the classification into ADHD-I, ADHD-HI, and ADHD-C. Irritability could therefore be a highly informative characteristic.
A study classified ADHD into three subtypes based on personality traits and emotional profiles: (E 2b)87
- Mild ADHD subtype
- Normal emotional functioning was observed in this group of people with ADHD.
- Distressed ADHD subtype
- This subtype was characterized by a particularly severe crisis.
- Irritable ADHD subtype
- This subtype exhibited high levels of negative affect and had the highest external validity.
- increased tendency to get angry
- The subtype remained moderately stable over time and improved the prospective prediction of clinical outcomes beyond standard baseline indicators.
- The subtype could not be attributed to ADHD-HI + Oppositional Defiant Disorder (ODD), ADHD-HI + disruptive mood dysregulation disorder, or other patterns of comorbidity.
1.4.9. ADHD Groups Based on Microcognitive Biomarkers
In this study, children were divided into four groups based on subtle differences in performance on a computer test. According to the authors, these four groups do not correspond to ADHD-I, ADHD-HI, and ADHD-C. It is also noteworthy that two of the four groups performed better than children without ADHD in several areas.
(ADxS assessment): The data comes from a company that markets a digital training program for ADHD, and both authors are employed by that company.
(ADxS assessment): The symptom-based diagnosis does not correspond to the underlying neuropathology, which complicates the development of new therapies and the selection of treatment for individual patients. Highly granular, cost-effective, non-invasive, and scalable digital microcognition biomarkers could identify patients with the same symptom-based diagnosis but different neuropathology.
A study of n = 69 children aged 6 to 9 with ADHD compared performance variables from a Go/NoGo test with those of n = 58 typically developing children (TD) and identified four subgroups using microcognitive biomarkers derived from thousands of responses during digital neurotherapy: (E 3)93
- Cluster 4:
- poor reaction inhibition
- inconsistent attention
- a much greater ability to recognize natural categories—which children learn through physical interaction with the environment—than members of abstract categories
- Cluster 3
- poor reaction inhibition
- Cluster 2
- Faster and more consistent responses than TD
- Better detection of simple targets than TD
- better working memory than TD
- Attention problems; significant decline in performance when
- Pursuing multiple goals (divided attention)
- Distraction
- Cluster 1
- a much greater ability to recognize members of abstract categories than natural categories, which children learn through physical interaction with the environment
1.4.10. ADHD Groups Based on Fractional Anisotropy of White Matter
Two groups differ in the structure of their neural pathways and respond to methylphenidate to varying degrees. This sounds like a way to predict the drug’s effect. However, the data on response are based on only 52 of 227 children, and they come from retrospectively analyzed medical records, not from a planned study. An MRI cannot currently predict how the medication will work.
Scientific: Characteristics of the two microstructure subgroups
A study that classified children with ADHD into subgroups based on microstructural features of white matter found no differences in ADHD symptoms; however: (E 3)94
- a group with
- reduced fractional anisotropy of the white matter
- reduced processing speed
- improved response to MPH
- a group with
- higher fractional anisotropy of the white matter
- reduced response inhibition
- reduced sustained attention
- poorer response to MPH
1.4.11. ADHD Groups as Cognitive Biotypes
In this study, two groups were formed based on cognitive performance and then compared using EEG, heart rate, and response to atomoxetine. Methodologically, this is one of the better studies in this chapter because it is based on a blinded, placebo-controlled drug trial.
For the most part, the groups identified could not be mapped onto the usual classification systems. The authors therefore consider cognitively defined groups to be biologically more meaningful than the current classification based on symptoms.
Scientific: Characteristics of the Two Cognitive Biotypes in Test Performance, EEG, and ECG
Leikauf et al. identified two biotypes in children with ADHD by applying unsupervised machine learning to 20 cognitive test scores and validating the results using EEG and ECG measurements as well as differences in response to medication: (E 2b)95
- impulsive cognition
- fewer omissions
- more action errors
- impaired inhibition
- shorter response times
- higher EEG theta and delta power
- higher resting heart rate
- inattentive cognition
- more omissions
- longer response times
- more variable response times
- reduced EEG beta power
- Resting heart rate similar to that of people without the condition
- a strong correlation between response to atomoxetine and improvement in immediate verbal memory recall
1.4.12. ADHD Groups Based on Emotional Dysregulation
This classification distinguishes between cases where there are difficulties with emotional regulation and those where there are not. Important to note for context: The study included students with self-reported diagnoses or self-assessed symptoms—without medical evaluation—70 percent of whom were women. The results therefore cannot be readily generalized to all people with ADHD.
A study analyzing people with ADHD in terms of emotional dysregulation identified three groups: (E 3)96
- predominantly inattentive / exhibits emotional dysregulation / emotionally unstable
- Moderate ADHD severity / no emotional dysregulation / unremarkable personality traits
- Severe ADHD / no emotional dysregulation / unremarkable personality traits
1.4.13. ADHD Groups Based on Topological Deviations in Network Hubs
(ADxS assessment): Here, people with ADHD are grouped based on abnormalities in highly interconnected brain regions. This is currently purely basic research involving complex imaging techniques. It has no significance for diagnosis or treatment.
A study identified 3 ADHD groups based on topological differences in morphometric similarity networks using degree centrality (local connection density), node efficiency (shortest communication path), and the participation coefficient (cross-module diversity) of brain morphometry: (E 3)97
- the most severe symptoms of hyperactivity/impulsivity and inattention
- Long-term emotional dysregulation
- 25% comorbid affective disorders
- marked changes in the mPFC and pallidum
- accompanied by spatially correlated increases in receptor levels of
- Serotonin (5-HT4, r = 0.37; 5-HTT, r = 0.37)
- Dopamine (D2, r=0.25)
- Acetylcholine (α4β2, r=0.26; M1, r=0.41)
- Histamine (H3, r=0.29).
- The authors cite relevant findings:
- Tonic, spontaneously firing dopamine neurons are regulated by inhibitory striatal projections (E 4)98 and interact with the serotonergic system via orbitofrontal-striatal circuits, which modulates hyperactivity/impulsivity in ADHD (E 4)99.
- Cholinergic dysfunction in the PFC is characteristic of ADHD-C mixed type (E 3)100 (E 2b)101 (E 3)102 and particularly impairs motor control and attention
- Neuroinflammation may play a crucial role in the pathophysiology of ADHD (E 4)103, which correlates with elevated H3R levels
- predominant impulsivity and hyperactivity
- Long-term improvement in emotional dysregulation
- 9.8% with comorbid affective disorders
- marked changes in the ACC and pallidum
- along with a spatially correlated decrease in receptor levels of
- Glutamate (mGluR5, r = −0.24)
- Cannabinoid (CB1, r = −0.37)
- Serotonin (5-HT1A, r = −0.30; 5-HT2A, r = −0.34)
- The authors cite relevant findings:
- Changes in the glutamate system could indicate impaired excitatory neurotransmission in caudate-related circuits that mediate cognitive and affective processes, including reward processing (E 3)104
- An RCT showed a significant improvement in hyperactivity/impulsivity symptoms with cannabinoids (E 1b)105
- predominant inattention
- Long-term reduction in emotional dysregulation
- 5% comorbid affective disorders
- marked changes in the superior frontal gyrus
- along with a spatially correlated decrease in receptor levels of
- Serotonin (5-HT2A, r = −0.25)
These groups largely correspond to the three well-known presentation types described in the DSM-5.
It is well known that emotional dysregulation correlates more strongly with hyperactivity/impulsivity—or the combined type of ADHD—than with predominantly inattentive ADHD, and that more severe ADHD symptoms correlate with greater emotional dysregulation. For more on this, see Emotional Dysregulation / Emotional Symptoms in ADHD
Figure from Pan N, Long Y, Qin K, Pope I, Chen Q, Zhu Z, Cao Y, Li L, Singh MK, McNamara RK, DelBello MP, Chen Y, Fornito A, Gong Q (2025): Mapping ADHD Heterogeneity and Biotypes through Topological Deviations in Morphometric Similarity Networks. medRxiv [Preprint]. March 28, 2025:2025.03.27.25324802. doi: 10.1101/2025.03.27.25324802. PMID: 40196255; PMCID: PMC11974972. under Creative Commons Attribution 4.0 International License
1.4.14. ADHD Groups Based on Comorbidities
(ADxS Assessment): Here, people with ADHD are categorized based on what other conditions they have. This is often more important for treatment than the clinical presentation, because the presence of an additional anxiety disorder, depression, or social behavior disorder significantly influences treatment planning. Therefore, it is worthwhile to have comorbid conditions explicitly assessed.
An analysis of the MTA study identified four clinical profiles that are sufficiently distinct to warrant classification as ADHD subtypes: (E 3)106
- ADHD without a comorbid disorder
- responded best to pharmacological MTA treatments (with or without behavioral therapy)
- ADHD combined with internalizing disorders (ADHD + ANX, primarily anxiety disorders reported by parents)
- appeared to respond equally well to behavioral therapy and medication-based MTA treatments
- ADHD with ODD/CD, but without anxiety (ADHD + ODD/CD)
- responded best to pharmacological MTA treatments (with or without behavioral therapy)
- ADHD with anxiety and ODD/CD (ADHD + ANX + ODD/CD)
- responded best to combined MTA treatments involving medication and behavioral therapy
2. Neurophysiological and Endocrine Differences Among the Subtypes
Implications for People with ADHD
(ADxS Assessment): This section describes the differences found between the presentation forms in terms of neurotransmitters, stress hormones, brain waves, and imaging. All of these findings represent group differences. They provide insight into how people with one presentation form differ, on average, from people with the other. These findings do not provide a precise enough picture for an individual person, and there is currently no test that can reliably determine the presentation form. Furthermore, the studies are often small, and the results frequently contradict one another.
Hyperactivity is neurologically rooted in the striatum, while inattention is primarily rooted in the PFC. (E 4)107
(No evidence): It may be necessary to further distinguish between inattention caused by boredom due to an underactive PFC (in ADHD-I) and distractibility caused by overactivity of the PFC (in ADHD-HI).
2.1. Dopamine levels
Implications for People with ADHD
(ADxS assessment): The question here is whether different amounts of dopamine are involved in these forms of behavior. Dopamine is a neurotransmitter that helps regulate motivation, the experience of reward, and motor control.
There are good reasons to suspect a dopamine deficiency, but there are also findings that contradict this. To date, it has not been possible to measure dopamine levels in the living brain with reasonable effort. Therefore, neither a diagnosis nor a choice of medication can be derived from this section.
If you look closely, it’s actually much more complicated: There is phasic (in response to stimuli) and tonic (sustained) dopamine release; dopamine present inside (intracellular) and outside (extracellular) the cell; and dopamine that is released and acts within synapses, and others that circulate extrasynaptically (volume transmission). Above all, however, dopamine levels can be high, normal, or low simultaneously in different regions of the brain.
(No evidence): This section addresses the question of whether different presentation forms (subtypes) (based on symptom severity) correlate with specific dopamine (activity) levels. The separate question of whether dopamine deficiency and dopamine excess might represent different disorder patterns—or at least distinguishable variants of ADHD—is addressed at the end of this chapter.
2.1.1. Hyperactivity, Impulsivity: Dopamine Deficiency or Dopamine Excess in the Striatum
Implications for People with ADHD
(ADxS assessment): The common explanation is that ADHD is caused by a lack of dopamine. This section shows that the issue is more complicated than that. In animal studies, even an excess of dopamine leads to hyperactivity, and mice lacking dopamine transporters are particularly restless, even though they have more dopamine available.
(ADxS Assessment): The often-heard statement “ADHD is a dopamine deficiency” is a gross oversimplification. It does not explain why medications work, nor does it serve as a basis for a specific treatment.
Hyperactivity and impulsivity, as seen in the ADHD-HI subtype (without inattention) or ADHD-C (with inattention), are (in the context of ADHD) primarily caused by deviations in dopamine levels from the optimal dopamine level in the right-hemispheric striatum (involving the frontostriatal loop, consisting of the PFC, caudate nucleus, and globus pallidus, but not the putamen).(E 4)107 (E 3)108 (E 3)109
According to the prevailing view in the scientific literature, ADHD is associated with a dopamine deficiency. However, animal models (e.g., the DAT-KO mouse) have shown that an excess of dopamine in the striatum can also trigger hyperactivity. For more on this, see ⇒ ADHD in Animal Models in the chapter ⇒ Neurological Aspects. As long as ADHD is not neurobiologically defined (and diagnosed) as a dopamine deficit in the striatum (and/or PFC), but is diagnosed solely on the basis of symptoms, both possibilities must be considered. According to the inverted-U model, both an excess and a deficiency of neurotransmitters (E 4)110 (E 4)111, since signal transmission functions properly only at optimal neurotransmitter levels. Nevertheless, the evidence for a deficiency of phasic dopamine in the striatum in ADHD far outweighs the evidence for an excess.
Since dopamine breakdown in the striatum occurs primarily via DAT, whereas dopamine breakdown in the PFC occurs primarily via NET and COMT and not via DAT, the DAT-10R gene variant correlated strongly with hyperactivity and impulsivity, but not with inattention.(E 3)112 (E 4)107
Another study found no difference in the DAT 9/9, 9/10, or 10/10 gene variants (or in DRD4 gene variants) between ADHD-I on the one hand and ADHD-C and ADHD-HI on the other. (E 1b)46
2.1.2. Hyperactivity, Impulsivity: Excess Dopamine in the PFC
Scientific: Interaction between dopamine in the PFC and the striatum
Assuming, in line with the prevailing view in the literature, that hyperactivity and impulsivity (in ADHD-HI and ADHD-C) result from a dopamine deficiency in the striatum, (E 4)113 the dopamine seesaw between the striatum and the PFC consequently leads to elevated dopamine levels in the PFC in cases of hyperactivity and impulsivity (in ADHD-HI and ADHD-C). See ⇒ The dopamine seesaw between the PFC and subcortical regions (including the striatum) In the article ⇒ Dopamine in the chapter ⇒ Neurological aspects
In healthy individuals, high dopamine levels in the PFC appear to lead to low dopamine levels in the striatum, and vice versa.
A fully activated PFC (high dopamine levels) simply does not seem to require any stimulation from the reward/motivation center and therefore signals to it: “Closed due to overcrowding—take it easy.” The striatum then quietly sulks away (underactivated = low in dopamine). This is a normal, healthy regulatory loop.
(ADxS assessment): A prolonged tonic dopamine deficiency in the striatum leads to an upregulation of D2 autoreceptors (due to a very prolonged excess of dopamine in the PFC), which in turn leads to an upregulation of dopamine transporters in the striatum. See ⇒ Up- and Downregulation of the Dopamine Transporter In the article ⇒ Dopamine in the chapter ⇒ Neurological aspects. This could explain DAT hyperactivity, which would help account for or exacerbate the tonic dopamine deficiency in the striatum assumed to occur in ADHD.
Since hyperactivity may be mediated by a deficiency of phasic dopamine in the striatum, this would explain why it occurs only in ADHD-HI and ADHD-C, which are said to be characterized by persistent overactivation of the PFC. The underactivation of the PFC typical of ADHD-I, due to the associated dopamine deficiency in the PFC, would instead be expected to cause an excess of dopamine in the striatum. Studies confirm a dopamine deficiency in the striatum in ADHD; however, they do not differentiate between the clinical presentations (subtypes). (E 4)113
It is often argued in the ADHD literature that ADHD is characterized by an excess of or overactive dopamine transporters (DAT). If, in ADHD-HI, a prolonged excess of dopamine in the PFC causes a prolonged dopamine deficiency, which in turn triggers an upregulation of dopamine transporters (just as an excess of dopamine due to amphetamine abuse likely triggers a downregulation (E 3)114), Then, as a consequence, dopamine transporters in ADHD-I would be less markedly increased or overactive than in ADHD-HI. Surprisingly, there are only a few studies on the number and activity of DATs in the various forms of ADHD. So far, these studies tend to show that ADHD-HI is significantly more strongly associated with an increased number of DATs than ADHD-I.
2.1.3. DAT Differences in Presentation Forms (Subtypes)
Implications for People with ADHD
(ADxS Assessment): Dopamine transporters (DAT) are proteins that reuptake dopamine back into the cell. Methylphenidate blocks them. There is some evidence that DAT levels differ among the various forms of ADHD, but the evidence is weak: The differences in the measurements are only a few percent, are based in part on three to seven individuals per group, and some of the findings come from animal studies. It is also questionable whether the number of transporters can be used to draw any conclusions about dopamine activity at all.
Various studies suggest a higher number of DATs in ADHD-HI compared to ADHD-I.
Scientific: Individual findings on dopamine transporters in the presentation forms
- A SPECT study of 31 adults with ADHD found a greater increase in DAT among people with ADHD-HI than among people with ADHD-I. However, DAT levels in people with ADHD-I were still elevated compared to people without ADHD. Smoking significantly reduced DAT in both presentation types to or below the level seen in non-affected individuals. (E 3)115 A study compared DAT in the Spontaneously Hypertensive Rat (SHR), which represents a validated model of the ADHD-C subtype, and a sublineage of the Wistar Kyoto rat, which was used here as a model of the purely inattentive ADHD-I subtype. The ADHD-HI-subtype rats formed more DAT than the ADHD-I-subtype rats, which supports our conclusion. MPH reduced DAT density more significantly in ADHD-HI rats than in ADHD-I rats. (E 2b)116
- Another study compared rats considered to be ADHD-HI models, ADHD-I models, and unaffected models. It found that ADHD-HI rats had significantly lower dopamine levels in the dorsal striatum, while in ADHD-I rats, these levels were sometimes the same as and sometimes even higher than those in rats that were not affected by ADHD. Similarly, the ADHD-HI rats had faster dopamine uptake in the ventral striatum and the nucleus accumbens, while the ADHD-I rats had faster dopamine uptake only in the nucleus accumbens, in each case compared to the unaffected rats. (E 2b)117 Another study also found lower dopamine levels (and slightly higher norepinephrine levels) in the striatum of ADHD-HI rats compared to unaffected rats. (E 2b)118 This suggests increased DAT in ADHD-HI compared to ADHD-I.
- MPH, which significantly reduces the number of DATs, is reportedly far less effective for ADHD-I than for ADHD-HI, according to one study. (E 1b)119 Another study reports that MPH is effective for ADHD-I. (E 4)120
- People with SCT (which, based on our previous understanding, we had considered an extreme form or subtype of ADHD-I) are particularly likely to be MPH non-responders. In particular, elevated SCT “Sluggish/Sleepy” factor scores indicate an MPH non-response. Neither elevated SCT “Daydreamy” symptoms nor differences in ADHD subtype (ADHD-HI or ADHD-I) were associated with the MPH response rate. The latter finding supports the view that SCT is not a subtype of ADHD-I. (E 1b)35
- Genetic differences between the presentation forms (subtypes) with regard to ADHD-associated polymorphisms of the DAT1 gene suggest a link between DAT1 gene polymorphisms and ADHD-HI, but not with ADHD-I. The DAT-10R gene variant correlated strongly with hyperactivity and impulsivity, but not with inattention. (E 3)121 (E 4)107 However, another study was unable to confirm this.(E 3)122 Another study found an association between DAT1 10/10 and ADHD-I, with DAT1 10/10 reportedly indicating increased DAT expression and reduced dopamine uptake. The results of this study also do not align with any of the findings known to date in other respects. (E 3)123 Another study, in turn, found that
Another study found no difference in the DAT 9/9, 9/10, or 10/10 gene variants (or in DRD4 gene variants) between ADHD-I on the one hand and ADHD-C and ADHD-HI on the other. (E 1b)46
The combination of COMT Val/Val and DAT 10R was associated with increased hyperactivity and increased ADHD symptoms at age 18 among 11- to 15-year-old boys, but not among girls. (E 2b)124
DAT 10R stands for a more active DAT. (E 4)125
However, it is questionable whether DAT actually regulates dopamine levels in the way that has been assumed so far. (E 3)114
2.1.4. Insensitivity to pain as an indicator of a possible high-dopamine subtype?
Implications for People with ADHD
(ADxS Assessment): This is a hypothesis, not a proven finding. People with ADHD who have a low pain threshold may possibly belong to a group with relatively high dopamine levels. Recognizing oneself in this description is an interesting observation, but it does not serve as a basis for treatment decisions.
Like all catecholamines, dopamine follows an inverted U-shaped curve: too little is just as harmful as too much.
ADHD is typically characterized by a deficiency of extracellular dopamine. ADHD medications primarily act as dopamine reuptake inhibitors, thereby increasing extracellular dopamine levels. However, the large number of animal models with elevated extracellular dopamine levels suggests that there are likely also cases of ADHD with elevated dopamine levels.
To date, our understanding of this topic has been very limited due to the great difficulty of measuring dopamine in the brain in vivo.
We therefore want to use this section to compile a list of indicators that may suggest elevated dopamine levels in the brain.
Dopamine is an important factor in pain regulation. Chronic pain is usually characterized by reduced dopamine levels. This explains why chronic pain is a common comorbidity of ADHD. Schizophrenia is characterized by elevated dopamine levels and is simultaneously associated with a significantly reduced pain threshold.
For more information, visit ⇒ Chronic Pain and Muscle Tension in ADHD—Neurophysiological Correlates
(ADxS assessment): We derive from this the working hypothesis that reduced pain sensitivity in ADHD could be indicative of a (likely rare) ADHD subtype characterized by elevated dopamine levels.
2.2. Excessive and blunted endocrine stress responses in the different forms (subtypes)
Implications for People with ADHD
(ADxS assessment): In ADHD-I, the body releases too much cortisol in response to stress; in ADHD-HI and ADHD-C, it releases too little.
Both are undesirable. A response that is too strong causes concentration and memory to break down under stress, leading to withdrawal. A response that is too weak causes the body to fail to counteract stress, resulting in the tension being released outwardly.
An individual’s response to stress is therefore rooted in the body; it is not a matter of willpower or character. Limiting exposure to stimuli, taking breaks, and maintaining a predictable daily routine are therefore not mere luxuries, but effective measures. However, the numerous studies cited in this section are predominantly based on other disorders and animal experiments. The extrapolation to ADHD is a well-founded assumption, not proof.
In ADHD-I, endocrine stress responses appear to be much more pronounced than in ADHD-HI and ADHD-C.
An endocrine stress response is the release of hormones (and neurotransmitters) in response to an acute stressor.
The ADHD-I subtype often exhibits an exaggerated cortisol stress response, whereas ADHD-HI and ADHD-C are frequently associated with a blunted cortisol stress response. Thus, the ADHD-I subtype typically represents a case of hypercortisolism, whereas ADHD-HI and ADHD-C tend to represent cases of hypocortisolism.
For more information, visit ⇒ Changes in Cortisol Levels in ADHD in: Cortisol and Other Stress Hormones in ADHD
(ADxS Assessment): Since hypocortisolism can be a long-term consequence of hypercortisolism, if persistently elevated cortisol levels trigger a downregulation response (⇒ Downregulation / Upregulation. ⇒ Changes in hormone and neurotransmitter levels depending on the stress phase in the article ⇒ Human Stress Systems (Fundamentals of Stress) In the chapter “ ” ⇒ Stress) of the glucocorticoid (cortisol) receptor systems, one could conclude that ADHD-I represents a preliminary stage and ADHD-HI and ADHD-C represent subsequent stages of ADHD. However, this is contradicted by the fact that the nature of the cortisol response to acute stress tends to reflect a stress phenotype that is already observed in healthy individuals. In disorders with externalizing symptoms (aggression, ODD, CD, etc.), cortisol responses to acute stress are typically blunted, whereas in disorders with internalizing symptoms (depression, anxiety, etc.), cortisol responses are typically elevated.
Elevated cortisol levels are associated with the stress-induced release of norepinephrine and the activation of α1-adrenergic receptors.(E 4)126 (E 2b)127 Parallel to the issue discussed here regarding the correlation between the neurotransmitter norepinephrine and cortisol, there is a correlation between cortisol and dopamine release.(E 3)128 Cortisol levels correlate positively with AMP-induced dopamine release in the left ventral striatum and the dorsal putamen.
(ADxS assessment): We assume that the cortisol, adrenaline, norepinephrine, and dopamine responses in the brain to acute stress are correlated, such that a high cortisol response to acute stress is associated, on the one hand, with high (hormonal)norepinephrine release in the sympathetic nervous system, on the one hand, and with a high (neurotransmitter) norepinephrine and dopamine release in the central nervous system (= brain), on the other. Low levels are also likely to correlate. This could provide a coherent explanation for several patterns observed in ADHD subtypes.
For (hormonal) norepinephrine in the sympathetic nervous system relative to cortisol, such a correlation was observed based on alpha-amylase measurements.(E 3)129 (E 3)130 However, only a small fraction of (hormonal) norepinephrine from the adrenal medulla crosses the blood-brain barrier and therefore cannot significantly influence the (neurotransmitter) norepinephrine levels in the brain.
(ADxS assessment): Our hypothesis is supported by the fact that the HPA axis (which releases cortisol) and the locus coeruleus (which releases norepinephrine) are activated by the same mechanisms, which suggests that the intensity of their responses may be parallel, namely:
- Mesocortical / mesolimbic system (dopaminergic)
- Amygdala (serotonergic, acetylcholinergic)
- Hippocampus (serotonergic, acetylcholinergic)
Scientific: Details on the hypothesis of a correlation between the cortisol response and the neurotransmitter norepinephrine response to stress
Measurements of the brain neurotransmitter norepinephrine are only possible in cerebrospinal fluid, since the body’s hormone norepinephrine produces the same metabolites (breakdown products) and can only cross the blood-brain barrier to a limited extent. Cortisol can cross the blood-brain barrier, which is why cortisol can alternatively be measured in blood or saliva.
Findings regarding stress:
- Stress simultaneously increases levels of the neurotransmitter norepinephrine and cortisol in the brain. (E 2b)131 (E 4)126 (E 2b)127 A rise in cortisol is associated with stress, while a rise in norepinephrine is associated with increased arousal.
Results for ADHD:
- Unfortunately, only one study on the neurotransmitter norepinephrine in ADHD has been found to date, and it does not take cortisol into account. In the cerebrospinal fluid of people with hyperactive ADHD-HI, the serotonin metabolite 5-hydroxyindoleacetic acid (5-HIAA) correlated positively with aggression (unexpectedly), the dopamine and norepinephrine breakdown product homovanillic acid (HVA) correlated positively with hyperactivity, and the norepinephrine metabolite 3-methoxy-4-hydroxyphenylglycol (MHPG) correlated with aggression, delinquency, and behavioral problems. The ADHD-I subtype was not included. The results were unexpected even for the authors. (E 3)132
(Reference missing): In cases of mental disorders or psychological stress, a positive correlation between the neurotransmitter norepinephrine and the cortisol response to the stressor has been found almost unanimously. Physical stress (hypoglycemia), on the other hand, follows a different regulatory pattern.
(ADxS assessment): Nevertheless, the question of whether there is a positive, negative, or no correlation may depend on the specific disorder. Only studies of people with ADHD will be able to provide certainty, and these studies must distinguish among presentation forms (subtypes).
A positive correlation between the neurotransmitter norepinephrine and cortisol has been found in various studies:
- In rhesus monkeys, early-life stress resulting from a 4-day separation from the mother causes an increase in the norepinephrine metabolite MHPG in the cerebrospinal fluid, as well as an increase in cortisol in the blood. (E 2b)133
- The results of a comprehensive study of cortisol, norepinephrine, and CRH levels in cerebrospinal fluid (in which, by its very nature, no hormonal norepinephrine from the body can be present) revealed a correlation in depression with (elevated) levels of the neurotransmitters cortisol and norepinephrine, with the correlation persisting across circadian fluctuations throughout the day. In contrast, CRH levels in the cerebrospinal fluid did not correlate with cortisol levels. (E 2b)134
- Another study involving 140 people with ADHD confirms the correlation between the norepinephrine metabolite MHPG in cerebrospinal fluid and blood cortisol levels following dexamethasone administration. (E 2b)135
- In dogs, a correlation was found between cortisol, norepinephrine, ACTH, and β-endorphin in the cerebrospinal fluid and physical exertion. (E 2b)136
- In PTSD, an increase in norepinephrine in the cerebrospinal fluid correlates with the severity of symptoms. (E 4)137 The cortisol response to acute stress, as well as to dexamethasone, is also elevated in PTSD.(E 1a)138 In a study (with a sample size of n = 8, which was far too small) of people with PTSD (war veterans), norepinephrine levels in the cerebrospinal fluid rose while watching a trauma-inducing video, whereas blood levels of CRH and cortisol were (unexpectedly for the authors) were lower than when watching a neutral video. ACTH remained unchanged.(E 3)139 The results regarding baseline cortisol levels in PTSD are contradictory (neither elevated nor reduced).(E 1a)140
- In monkeys, elevated levels of norepinephrine, cortisol, and corticotropin in the cerebrospinal fluid correlated with aggression, while levels of 5-hydroxyindoleacetic acid (a metabolite of serotonin) were reduced. (E 2b)141
- The elevated CRH levels in the cerebrospinal fluid observed in Alzheimer’s disease correlate significantly with elevated blood cortisol levels as well as elevated cortisol responses (absence of cortisol suppression in 6 out of 10 subjects) to the dexamethasone test. (E 3)142
- In cases of both severe and mild Alzheimer’s disease, basal cortisol and norepinephrine levels in the cerebrospinal fluid correlate. Unexpectedly, this correlation was not found in healthy individuals. (E 4)143
- In fish, individuals that lose fights exhibit a prolonged increase in cortisol and norepinephrine. (E 2b)144
(ADxS assessment): No positive correlation was found between the neurotransmitter norepinephrine and cortisol during physical stress (hypoglycemia):
- Hypoglycemia (low blood sugar) caused by insulin administration increases cortisol and decreases norepinephrine (as a neurotransmitter) in the cerebrospinal fluid, while norepinephrine levels in the blood (norepinephrine as a hormone) increase. (E 2b)145
In any case, the fact that cortisol inhibits the locus coeruleus and thereby reduces norepinephrine release in the CNS does not contradict our understanding of a correlation between cortisol and the neurotransmitter norepinephrine, (E 4)26 since this merely describes the effect of cortisol that has already been released—which, after all, also inhibits the HPA axis and thus itself. Furthermore, in response to acute stress, norepinephrine is released in the sympathetic nervous system and in the brain before cortisol is.
Nor does the fact that dexamethasone increases only dopamine levels—but not norepinephrine levels—in the PFC (and both dopamine and norepinephrine levels in the striatum) in ADHD-HI rats contradict our hypothesis, whereas in unaffected rats, dopamine and norepinephrine levels in the PFC remained unchanged, and only dopamine levels increased in the striatum (E 2b)118, since a response to cortisol—which is released in the PFC after norepinephrine during stress—is also described here.
(ADxS assessment): It should be noted that in ADHD-HI (including in SHR rats), the cortisol response to dexamethasone is blunted compared to unaffected individuals. Nevertheless, dexamethasone has a positive effect on ADHD-HI symptoms in ADHD-HI rats. In the PFC, the effect of dexamethasone outweighs the ADHD-HI phenotype, whereas in the striatum, the phenotype exerted a stronger influence than the medication.
Nor do the findings of studies showing that blood levels of cortisol and catecholamines do not correlate support this hypothesis.(E 2b)146 Catecholamines in the blood merely reflect the body’s hormonal levels of norepinephrine, but not the levels of neurotransmitters in the CNS, which must be distinguished from one another due to the blood-brain barrier. Measurements of vanillylmandelic acid in urine—which is a metabolite of norepinephrine in the brain—would be necessary. (E 4)147
Regardless of this, measurements of cortisol and alpha-amylase—taken at frequent intervals (every 2 minutes)—indicated acute stress, that, depending on the person with ADHD, the cortisol peak can occur up to 14 minutes before or up to 14 minutes after the alpha-amylase peak, meaning that a correlation between these two values based on single, fixed measurements taken x minutes after the stressor can be misleading.(E 3)148
Studies have found correlations between basal cortisol and vanillylmandelic acid levels (the latter being a metabolite of the neurotransmitter norepinephrine) in cluster headaches, (E 3)149 and as responses to stressors such as the dexamethasone test in PTSD, (E 3)150 depression (E 3)151 (E 3)152 or following rape. (E 2b)153
In contrast, no correlation was found among people with ADHD between (basal) blood cortisol levels and plasma MPHG, a metabolite of the neurotransmitter norepinephrine.(E 3)154 Furthermore, a study (with a sample size of n = 10, which was far too small) found no correlations between basal cortisol and norepinephrine levels.(E 3)155 When evaluating MHPG and vanillylmandelic acid measurements in blood or urine, it should be noted that only 20% of MHPG results from the metabolism of the neurotransmitter norepinephrine in the brain, meaning that the vast majority of MHPG originates from the body’s hormone norepinephrine. Furthermore, more than half of MHPG is converted into vanillylmandelic acid.(E 3)156 (E 3)157 Consequently, blood or urine levels of metabolites do not allow for the measurement of the neurotransmitter norepinephrine (in the brain) independently of the hormone norepinephrine (in the body).
On the other hand, it has been found that the levels of norepinephrine in cerebrospinal fluid correlate with the levels of (cortisol and) norepinephrine in the blood and norepinephrine metabolites in the urine. (E 2b)135 However, this is a correlation, not an equivalence.
A very sharp increase in norepinephrine/dopamine shuts down the PFC and shifts behavioral control to posterior brain regions.(E 2b)36 (E 2b)37 (E 2b)38 (E 2b)39 (E 2b)40 There are correlations between cortisol and the stimulation of D1 receptors. (E 2b)118
The PFC is highly sensitive to its neurochemical environment. Both too little (drowsiness) and too much (severe stress) catecholamine release in the PFC weakens cognitive control over behavior and attention.(E 4)158In ADHD-HI and ADHD-C, the PFC remains constantly activated, which eventually becomes too much.
(ADxS assessment): In contrast, people with ADHD-I suffer from an endocrinological overreaction to acute stress. Assuming the hypothesis put forward here—that in ADHD-I, in addition to the cortisol stress response, norepinephrine release in the brain is also elevated in response to acute stress—the established finding that sharply elevated norepinephrine levels block the PFC would explain why people with ADHD-I frequently experience mental blocks and feel overwhelmed when making decisions.
The strong stress-induced cortisol response in ADHD-I, which occurs at the third increment of the HPA axis some time after norepinephrine release, leads to a significant inhibition of norepinephrine release. The norepinephrine-induced inhibition of the PFC is therefore temporarily lifted in ADHD-I, and the PFC resumes normal function after some time. Consequently, the PFC does not remain permanently in a dysfunctional state (as in ADHD-HI/ADHD-C). A merely temporary underactivity of the PFC therefore does not lead to a permanent excess of dopamine in the striatum, which is why ADHD-I does not result in such severe striatal problems. (Both excess and deficiency cause disorders in neural communication and can therefore trigger different or nearly identical symptoms in the same brain region, since signal communication in the brain functions flawlessly only when neurotransmitter levels are optimal.)
(ADxS assessment): The various presentation forms (subtypes) can also be logically described as stress phenotypes (in accordance with the endocrinological and neurological characteristics described).
“Stress phenotypes” refer to a typical response to stress.
See section 6 below for more information.
(Citation missing): The PFC is deactivated by alpha-1-adrenoceptors, which have a lower affinity for norepinephrine and cortisol than alpha-2-adrenoceptors and are therefore activated only when norepinephrine and cortisol levels are very high.
(ADxS assessment): It is hypothesized here that a sharp increase in dopamine and norepinephrine is the cause of the underactivation of the PFC typical of ADHD-I.
Since ADHD-HI (and ADHD-C) involves a blunted cortisol response to an acute stressor, a concurrent blunted release of norepinephrine and dopamine would lead to a persistent state of mild stress that does not shut down the PFC but rather keeps it permanently overactivated.
Due to a weaker cortisol response to acute stress, cortisol levels at the end of a stress response in ADHD-HI and ADHD-C are, in any case, (and regardless of the hypothesis discussed here regarding a correlation in release levels) less capable of shutting down the stress systems of the HPA axis and norepinephrine release in the brain.
An increased cortisol response to stress in 3-month-old infants correlated with higher methylation of the NR3C1 gene.(E 2b)159 Maternal depression or anxiety during the third trimester correlated with increased DNA methylation of the NR3C1 promoter in the umbilical cord blood of newborns.(E 2b)159 The NR3C1 gene encodes the glucocorticoid receptor, which is supposed to downregulate the HPA axis (and thereby also cortisol levels) in response to high cortisol levels at the end of a stress response. The specific CpG methylation in NR3C1 triggered by the mother’s stress correlated with reduced gene expression, which was functionally associated with increased cortisol reactivity in these infants at three months of age.
2.3. ADHD Presentation Patterns According to EEG
Implications for People with ADHD
The EEG measures brain waves using electrodes placed on the scalp. Some researchers would like to classify ADHD based on these measurements rather than on symptoms. The idea is appealing because a measurement seems more objective than an observation.
In practice, this approach has not gained widespread acceptance, as the groups identified vary depending on the research team, the behavioral characteristics are only weakly supported by evidence, and it is not possible to reliably classify an individual. An EEG is not suitable for diagnosing ADHD and is no substitute for a medical consultation.
Most studies have identified various EEG subtypes in people with ADHD.
Externalizing individuals show a flattened error-related negativity (ERN), while internalizing individuals show an elevated ERN. (E 1a)160 The ERN is a component of event-related potentials (qEEG). It occurs immediately after an incorrect motor response (given under time pressure). ERN is primarily measured over the PFC.
An attempt to automatically distinguish subtypes based on their EEG patterns using AI failed. (E 3)13
The largest study known to us identified five EEG subtypes and showed that externalizing symptoms (ADHD-HI, ADHD-C) were primarily associated with increased slow EEG activity in the theta and delta bands, whereas internalizing symptoms (ADHD-I) were associated with increased activity in the alpha and beta bands.(E 3)161 In contrast, a study of 94 boys between the ages of 6 and 9 found, despite differentiation by subtype, consistently elevated total alpha activity with a reduced alpha peak frequency, reduced alpha bandwidth and reduced alpha amplitude suppression, as well as an increased alpha1/alpha2 (a1/a2) ratio. (E 3)162
EEG microstate B is thought to be promising for distinguishing between different presentations of ADHD based on differences in visual network function. (E 4)163
2.3.1. ADHD-HI Subtypes Based on EEG Findings
Implications for People with ADHD
(ADxS assessment): This section describes subgroups based on brainwave patterns, along with their respective behavioral characteristics and treatment recommendations.
The behavioral characteristics are derived from an analysis in which 276 individual questions were examined simultaneously, without any statistical adjustment for this large number. The authors themselves explicitly describe them as suggestions for further research, not as established characteristics. Nor are the treatment recommendations mentioned supported by efficacy studies. Recognizing oneself in one of the descriptions is interesting, but it is not a diagnosis.
In ADHD-HI, EEG abnormalities are primarily found in the striatum and the frontostriatal region. (E 4)164
2.3.1.1. Increased frontal theta, decreased beta (ADHD-HI with hyperactivity and impulsivity and a hypoactive EEG)
Scientific: EEG parameters, behavioral characteristics, treatment goals, and efficacy data for this subgroup
A high theta-beta ratio defines a distinct EEG subtype of ADHD. (E 3)165 This subtype has been described in 24.5% of people with ADHD. (E 3)166
- Overall power increased (E 3)166
- Increased relative theta, particularly in the frontal region (E 3)166
- Increased relative and absolute theta (E 4)169
- Overall beta activity reduced (E 3)166
- lower amplitude in relative beta, measured at the electrode sites Cz, Pz-O1, and Pz-O2, as well as paramedian (E 4)169
- Consequences: Increased theta-beta ratio (high theta, low beta) (E 4)170
- Central and posterior delta reduced (E 3)166
- Front and rear alpha reduced (E 3)166
- Increased slow waves, decreased fast waves (E 3)171
- Typical behavior: (E 3)166
- the most typical ADHD symptom profile among all EEG subtypes
- Hyperactivity
- a lover of the good life
- less anxious
Therapy Goals:
- Increase SMR (12 to 15 Hz)
- Reduce theta (4 to 8 Hz)
- Reduce theta while simultaneously increasing beta: addresses the tonic aspects of cortical activation to achieve an alert, focused, yet calm state (E 4)172
Effectiveness:
- Train to lower theta and (if necessary, at the same time) increase alpha
The results of the latter two training methods (reducing theta, increasing beta, or reducing theta and increasing alpha) differ only slightly in 7- to 10-year-olds. Both protocols generally alleviate the symptoms of ADHD-HI (p < 0.001) as well as symptoms of hyperactivity (p < 0.001), inattention (p < 0.001), and omission errors (p < 0.001), but not the oppositional and impulsive symptoms. (E 1b)173 - Of 19 participants with ADHD-HI according to DSM-III-R, 11 responded very well to neurofeedback training designed to increase beta and decrease theta waves (40 sessions). The other 7 showed minor improvements. Among the responders, in addition to symptom improvement, IQ also increased by 10 points (from 112 to 122). However, N = 19 is too small to draw a reliable conclusion. (E 4)174
2.3.1.2. Elevated beta (“overactivated” ADHD-HI)
Scientific: EEG parameters, behavioral characteristics, and treatment goals of the beta subgroup
175 The beta subtype is estimated to be present in approximately 23.2% (E 3) of people with ADHD.
- Beta amplitude (13 to 30 Hz) (E 4)178 or (18 to 26 Hz) increased, in the frontal region and at the back of the head
- Beta dominates relative and absolute power
- Occurrence throughout the cortex
- Increased overall frontal power (E 3)175
- Increased beta activity across the entire top of the skull (E 3)175
- Reduced theta activity in the fronto-central regions (E 3)175
- Reduced alpha activity in the frontal regions (E 3)175
- Typical behavior: (E 3)175
- symptomatic:
- increased aggression
- increased vandalism
- increased antisocial behavior.
- subtype-specific:
This neurological abnormality is not observed in ADHD-I, but only in a subgroup of the combined type, which is also said to differ from the rest of ADHD-C in that it has a greater tendency to exhibit additional symptoms: (E 3)179 (E 3)171- Tantrums
- mood swings
- increased criminal activity
- symptomatic:
However, people with ADHD who have excessive beta activity are not hyperactive. Compared to persons without ADHD, the following is typical: (E 3)180
- Overall beta increased
- Delta is significantly reduced in the central posterior region
- Alpha has been reduced overall
- significantly reduces overall posterior output
- reduced the overall theta/beta ratio.
- Skin conductance is significantly reduced (just as it is in people with ADHD and excessively elevated theta)
The authors conclude from this that the theta/beta ratio is not associated with arousal.
Therapy Goals:
- Increase SMR (12 to 15 Hz)
- Reduce Beta 2 (21 to 35 Hz)
- Reduce gamma (35 to 45 Hz)
A renowned research group reported that people with ADHD who have very low EEG theta values are more likely to be nonresponders to stimulants.(E 3)181 (ADxS Experience): However, we know of people with ADHD who benefited greatly from methylphenidate and even more from amphetamine-based medications.
2.3.2. ADHD-I Subtypes on the EEG
Implications for People with ADHD
(ADxS Assessment): The subgroups and the associated treatment recommendations reflect the current state of research, not diagnostic practice. An EEG cannot diagnose ADHD or determine its presentation. The medication recommendations listed in this section should not be interpreted as guidelines for action, especially since one of them is based on a source that has been unavailable for years.
In ADHD-I, EEG abnormalities are thought to occur primarily in the PFC and the frontoparietal region. (E 4)164
2.3.2.1. Delta and Theta increased, Beta decreased
Scientific: EEG parameters, behavioral characteristics, and treatment goals for this subgroup
A study found this subtype in 24.5% of people with ADHD. (E 3)182 Characteristic features include:
- Delta increased overall (E 4)169 (E 3)182
- Total Theta increased (E 4)169 (E 3)182
- Abnormal increase in slow-frequency waves (delta/theta), primarily in the central and centrofrontal regions (E 4)183
- Total alpha reduced (E 3)182
- Beta reduced (E 4)169
- Total posterior power reduced (E 3)182
- Typical behavior: (E 3)182
- enthusiastic
- impulsive
- Requires close supervision to complete tasks
- reduced need for sleep
- swears, uses obscene language
- no conduct disorder (CD)
- prefers to spend time with younger children
- Developmental delay
- People with ADHD who had high front-midline theta activity frequently showed
- High and steep power spikes when discharging to the vehicle
- when FMT activity is high in the higher FMT frequencies:
- Problems with emotional regulation and memory control.
- when there is high FMT activity in the lower FMT frequencies:
- Learning difficulties or memory problems.
- Anxiety
- Emotional outbursts
Therapy Goals:
- Increase Beta 1 (15 to 21 Hz)
- Reduce theta (4 to 8 Hz)
Kühle (E 4)169 describes that delayed brain development is frequently observed in ADHD-I. To the best of our knowledge, brain maturation in certain areas is delayed in all ADHD subtypes. However, it is questionable whether this represents a neurological deficit or merely a neurological correlate (= reflection) of ADHD. The delay in maturation observed in people with ADHD corresponds quite precisely to the delay in brain maturation seen in gifted individuals.
For more information, visit ⇒ Giftedness and ADHD
2.3.2.2. Only alpha activity is elevated
Scientific: EEG parameters and behavioral characteristics of the alpha subgroup
This subtype is estimated to occur in about 16.8% (E 3)171 of people with ADHD.
- Excessive alpha activity (E 4)184 (E 3)171
- Total delta reduced (E 3)171
- Reduced fronto-central theta (E 3)171
- Typical behavior: (E 3)171
- hyperactive, restless
- confused, feels like they’re in a fog
- slightly obsessive
- a perfectionist who sets high goals for herself
- focuses only on one or two ideas or activities
The behavioral patterns described, which show signs of compulsiveness, are said to correspond to findings in studies of people with ADHD, in whom very high alpha values were also observed. (E 4)187 (E 3)188
(No reference): Alpha activity occurs as a μ-rhythm (also known as the “monkey face” or “Mu-rhythm”) centrally across the entire cortex in the posterior temporal and/or temporal regions.
A study of girls with ADHD-I found significant differences compared to non-affected individuals only in the alpha 2 band. (E 3)189
2.3.2.3. Posterior theta increased, alpha and beta decreased
Scientific: EEG parameters and behavioral characteristics of this subgroup
171 This subtype is estimated to occur in about 11% (E 3) of persons with ADHD.
- Overall frontal power significantly increased (E 3)180
- Theta significantly increased (E 3)180
- particularly posterior
- •Significantly increased theta/beta ratio (E 3)180
- Alpha reduced across the entire skull (E 3)180
- Beta reduced across the entire skull (E 3)180
- Delta activity reduced centrally. (E 3)180
- Typical behavior: (E 3)180
- sociable
- cheerful
- fewer behavioral problems than other people with ADHD
- significantly less hyperactivity
- age-appropriate behavior (no developmental delays)
- no increased anxiety
- no increase in antisocial behavior
- no ritualized behavior
2.3.2.4. Only frontal midline theta (FMT) is elevated
Scientific: EEG Parameters and Associated Characteristics Associated with Elevated Frontal Midline Theta
- Abnormal increase in frontal midline theta (FMT) (5.5 to 8 Hz), (E 4)190 (E 4)191, particularly during task-related stress
- Dysfunction: hippocampus, anterior cingulate cortex (ACC) (E 4)192
- • Medication recommendation: no medication; low doses of methylphenidate (E 4)192
- People who are not affected have barely any FMT at rest
- People with ADHD who have high FMT scores often
- High and steep power spikes when discharging to the vehicle
- when FMT activity is high in the higher FMT frequencies:
- frequent difficulties with emotional regulation and memory control
- when there is high FMT activity in the lower FMT frequencies:
- frequent learning difficulties or memory problems
- Anxiety
- Emotional outbursts
2.4. ADHD Subtypes According to QEEG
Implications for People with ADHD
(ADxS assessment): QEEG is a computationally analyzed EEG. The reported subgroups are based on small sample sizes, and there is no evidence of its usefulness for diagnosis or treatment.
It is important to note that parents who themselves have ADHD symptoms often rate their child’s symptoms lower on questionnaires. Affected parents should seek a second opinion from a person with ADHD who is not affected to confirm the impression that their child is “normal after all.”
A study involving 69 participants identified three QEEG subtypes: (E 3)193
- Increased absolute and relative beta performance
- K-ARS: 25.31
- Increased, relatively rapid alpha and beta power
- K-ARS: 21.67
- increased absolute slow-wave frequency (delta and theta power)
- K-ARS: 12.64, which is barely higher than the 11.07 recorded for those not affected
- WURS: 55.82, significantly higher than the 42.81 for those not affected
The third group was therefore identified only using the WURS (Wender-Utah Rating Scale) and not the K-ARS (Korean ADHD Rating Scale, the most widely used scale in Korea).
Scientific: QEEG subgroups with scale values and age effects
A study found: (E 2b)194
- an age-related decline in qEEG performance in children with ADHD
- Significant differences between children with ADHD and those without the condition in the theta/beta ratio and theta activity in the frontal region
- A notable trend toward increased beta activity in the 6–10-year-old and >10-year-old age groups
- in younger children with ADHD
- Correlation between qEEG performance and hyperactivity
- Correlation between frontal theta activity and hyperactivity
- The qEEG performance of children with ADHD gradually declined with age, in line with the decrease in symptoms
2.5. Functional Differences in the Nerve Pathways of the Brain (?)
Implications for People with ADHD
(ADxS assessment): This study examines the structure of neural pathways—that is, the connections within the brain. There is evidence of differences between the forms, but the studies each involve only a few dozen participants. No conclusions can be drawn from such findings regarding individual cases.
Studies suggesting specific functional differences in the brain’s neural pathways for ADHD-HI and ADHD-I (E 3)195 (E 3)196 suffer from very small sample sizes (n < 50), which compromises the reliability of the results (more on this at: ⇒ Studies prove (sometimes nothing at all)).
2.6. Subtypes / Forms of Presentation and Serotonin
Implications for People with ADHD
(ADxS Assessment): Serotonin is another neurotransmitter. There is evidence that different serotonin receptors may play a role in the various presentations of ADHD. However, medications that act on serotonin, such as antidepressants (SSRIs, SNRIs), are not ADHD medications and do not improve the core symptoms.
It has been suggested that serotonin levels differ among the various subtypes, with ADHD-I being associated with the 5-HT1B receptor and ADHD-HI with the 5-HT2A/C receptors. (E 4)197
2.7. Neuro-auditory Profiles of the Subtypes / Forms of Presentation
Implications for People with ADHD
(ADxS assessment): This concerns differences in the auditory areas of the brain. ADHD-HI and ADHD-I differed significantly in these measurements, even though neither group has a hearing impairment. Difficulties following speech in noisy environments—even when a hearing test shows no abnormalities—are therefore plausible. To date, there is no treatment based on this finding.
A study demonstrated differences between ADHD-HI, ADHD-I, and controls in the auditory brain regions, the Heschl’s gyrus (HG) and the planum temporale (PT). ADHD-HI and ADHD-I participants showed reduced gray matter volumes in the left Heschl’s gyrus, resulting in lower HG/PT ratios in the left hemisphere. ADHD-HI showed a lower right HG/PT ratio in the right hemisphere, while ADHD-I did not differ from the controls. ADHD-HI exhibited left-right asynchrony, whereas ADHD-I and controls showed balanced hemispheric response patterns. (E 3)198
2.8. Amplitude of Low-Frequency Fluctuation (ALFF) and Functional Connectivity (FC)
Implications for People with ADHD
(ADxS assessment): These measurements show the extent to which individual brain regions fluctuate at rest and how well they work together. In ADHD overall, the values differ from those of unaffected individuals, with the differences being more pronounced in the combined type than in the inattentive type. This suggests that the subtypes differ in degree, but not fundamentally. To date, no clinical diagnostic method has been derived from these findings.
The amplitude of low-frequency fluctuation (ALFF) measures the strength of low-frequency oscillations in a region of the brain. High ALFF values indicate greater local metabolism and more spontaneous neuronal activity, while low ALFF values indicate lower local activity. (E 3)199
A study using functional near-infrared spectroscopy (fNIRS) at rest in children with ADHD-C compared to ADHD-I: (E 3)199
- increased amplitude of low-frequency fluctuations (ALFF) in certain brain regions
- reduced functional connectivity (FC)
2.9. Phase-Amplitude Coupling
Implications for People with ADHD
(ADxS assessment): This involves the interaction of various brain rhythms. Both forms show a stronger interaction than in unaffected individuals, with the mixed type showing an even stronger interaction. The authors interpret this as the brain’s attempt to compensate. This is basic research with no concrete consequences for diagnosis or treatment.
Phase-amplitude coupling refers to the phenomenon in which the phase of a slow brain oscillation systematically influences the amplitude of a faster oscillation. It is an important mechanism of neural communication and is involved in attention, sensory processing, and working memory. (E 3)200
A study examined intra- and inter-channel PAC differences across various spatial scales and analyzed the PAC-based properties of the brain network: (E 3)200
- ADHD-I, and even more so ADHD-C, show a stronger α-γ-PAC than healthy controls.
- ADHD-I showed primarily intrahemispheric changes
- In ADHD-C, the left hemisphere and occipital regions are particularly affected.
- In ADHD-C, the PAC in the α-β band was significantly higher than in ADHD-I, particularly in the left hemisphere.
- ADHD-I also showed an increased inter-channel δ-β-PAC with a widespread distribution compared to healthy control subjects.
The authors conclude that this indicates the presence of compensatory hyperactivation mechanisms in ADHD, particularly in ADHD-C.
2.10. ACC-PI signaling pathway
Implications for People with ADHD
(ADxS Assessment): This section links ADHD to pain perception. According to the available findings (primarily from animal studies), an inflammatory response in certain areas of the brain could increase sensitivity to pain. It is therefore common to suffer from chronic pain in addition to ADHD. To date, there is no treatment for humans that targets this mechanism.
The ACC-PI signaling pathway (from the ACC to the posterior insula, PI) regulates central (pain) sensitization mechanisms. ADHD-related ACC-PI activity can increase or decrease pain sensitivity and may trigger hyperactivity (ergomania). (E 3)201
- 6-OHDA-treated mice, an animal model for ADHD, show increased spontaneous activity in the ACC-PI signaling pathway (E 2b)202
- 6-OHDA mice exhibit a sex-specific neuroinflammatory response to dopamine neuron loss caused by 6-OHDA: (E 2b)203
- Males: Dopamine loss triggered inflammation only in the ACC
- Consequences:
- Hyperactivity
- no increased sensitivity to pain (no hyperalgesia)
- Consequences:
- Females: Dopamine depletion triggered inflammation in the ACC-PI signaling pathway
- Consequences:
- no hyperactivity
- increased sensitivity to pain (hyperalgesia)
- Consequences:
- Males: Dopamine loss triggered inflammation only in the ACC
2.11. Pregnancy complications are more common in ADHD-HI and ADHD-C than in ADHD-I
Implications for People with ADHD
(ADxS assessment): A very large analysis of hospital data found that pregnant women with ADHD had slightly higher rates of high blood pressure, preterm births, infections, and lower birth weight in their newborns than pregnant women with ADD.
The differences are small; most of the factors examined (gestational diabetes, cesarean section, bleeding, and others) showed no difference at all. By far the biggest difference concerned smoking: about a quarter versus just under five percent. This is also the area where the most change can be made. Anyone who is pregnant or hoping to become pregnant should seek medical guidance and have an open discussion about ADHD, medication, and smoking. This also applies to men who want to become fathers, since nicotine use in men also increases the likelihood of their children having ADHD (epigenetics).
A study compared the pregnancies of 7,103 mothers with ADHD-HI or ADHD-C and 2,928 mothers with ADHD-I. Compared to mothers with ADHD-I, mothers with ADHD-HI or ADHD-C were or had: (E 3)204
- often younger than 25
- more often have black skin
- more often from a lower income quartile
- 32.3% more smoked tobacco during pregnancy (25.8% vs. 19.5% in ADHD-I)
- 526% higher than among those without ADHD (4.9% in that group)
- used illegal drugs more frequently
- 19% higher incidence of hypertensive disorders of pregnancy
- 19% higher rate of preterm births
- 39% higher incidence of maternal infections
- 33% higher incidence of newborns who are small for their gestational age (SGA newborns)
3. ADHD-HI/ADHD-C and ADHD-I as Stress Phenotypes
Implications for People with ADHD
(ADxS Assessment): The different presentations of ADHD differ very clearly in how the body and mind respond to stress. In ADHD-I, the cortisol stress response tends to be too strong, while in ADHD-HI and ADHD-C, it tends to be too weak. The same pattern is found in other disorders and even in people without a diagnosis.
The consequences of this are that an individual’s way of reacting to stress is not a character flaw, but rather a physically rooted response.
See ⇒ Stress Theories and Stress Phenotypes: A Possible Explanation for ADHD Subtypes In the chapter ⇒ Stress
4. Issues with Classifying into Subtypes / Forms of Presentation
Implications for People with ADHD
(ADxS assessment): The classification of ADHD into presentation types is not without controversy. For many people, this classification changes over time; it depends heavily on who is being surveyed, and it says little about the success of treatment.
If different experts classify something differently, or if the classification changes, this is not necessarily a contradiction or an error; rather, it may be justified by the nature of the matter itself.
(ADxS assessment): One problem with the classification into subtypes or presentation forms may be that some people with ADHD redirect brain activity from affected brain regions to other brain regions—that is, they “repurpose” brain regions—in order to compensate for the impaired functions of the affected brain regions.
This correlates with the finding that a genetic predisposition (the DAT 10-repeat allele of the dopamine transporter genotype (40-bp 30 VNTR of DAT, SLC6A3) links a high BAS score with high ventral striatum activity, whereas in other genetic predispositions (DAT 9-repeat allele), a high BAS score does not correlate with high striatum activity. (E 2b)205
Similarly, certain polymorphisms of the THP2 and 5-HTTLPR genes show a strong positive correlation between a high BIS and connectivity between the amygdala and the hippocampus, while other polymorphisms in these genes show a strong negative correlation between a high BIS and connectivity between the amygdala and hippocampus. (E 4)206
This makes it more difficult to diagnose the condition using questionnaires and tests.
(ADxS assessment): A more objective determination of the specific ADHD subtype or presentation form could be achieved through a more detailed medical history, along with EEG or QEEG measurements, and an assessment of stress system reactivity using the dexamethasone, ACTH, or CRH test.
(ADxS assessment): If we accept the thesis presented here—that the manifestations of ADHD are defined by the natural disposition of the person with ADHD regarding their stress response type (—fight/flight/freeze, where “fight” is understood as characteristic of the hyperactive-impulsive subtype (ADHD-HI) and “freeze” as a synonym for the purely inattentive subtype (ADHD-I), in accordance with Connor’s FF(F)S model), a QEEG analysis would require that a statistically valid number of healthy individuals, categorized by fight/flight/freeze characteristics, be included in the QEEG reference databases in order to compare the specific activities of individual brain regions with the corresponding reference values from healthy individuals.
We are not aware of any QEEG databases that contain information on this topic.
5. ADHD Subtypes Based on Dopamine Levels?
Implications for People with ADHD
(ADxS Assessment): This section presents a hypothesis, not an established fact: It is possible that some people with ADHD have too little dopamine and others have too much, and both groups may respond differently to medication. As long as there is no simple method for measuring dopamine levels in the brain, this remains a theory. In practice, this means that the only way to determine which medication and at what dose is effective is through careful trial and error under medical supervision.
(ADxS Assessment): Most sources in the scientific literature link ADHD to reduced dopamine levels. This description likely also encompasses situations where dopamine levels are normal but receptor sensitivity is reduced, or where dopamine is broken down too quickly. As a result, there is an insufficient amount of dopamine (or its effects).
Apart from the fact that this description usually does not specify more precisely in which region of the brain the dopamine deficit is located and whether it involves a deficit in tonic or phasic dopamine release or in basal dopamine levels, there is conflicting evidence suggesting that an excess of dopamine can also cause ADHD symptoms. See, among other sources, ⇒ ADHD in animal models In the chapter ⇒ Neurological Aspects.
This is consistent with the inverted-U model, according to which both an excess and a deficiency of a neurotransmitter can cause strikingly similar symptoms, because optimal signal transmission depends on a specific (“medium”) neurotransmitter level. Signal transmission is impaired equally by both elevated and reduced neurotransmitter levels.
(ADxS Assessment): As long as ADHD is defined and diagnosed based solely on symptoms, this inevitably leads to people with a dopamine deficiency being treated in exactly the same way as people with an excess of dopamine (even though we suspect the latter group is likely to be rare, or at least less common). Against this backdrop, the question arises as to whether it would not make sense to either
- To define ADHD neurobiologically as a dopamine (functional) deficit and to classify all forms (even those with similar symptoms) that involve a dopamine surplus differently,
or - ADHD can be divided neurobiologically into two dopaminergic variants*: the hypodopaminergic variant (dopamine deficiency) and the hyperdopaminergic variant (dopamine excess).
(ADxS assessment): We have deliberately chosen the term “variant” in order to continue reserving the term “presentation form” (formerly: “subtype”) for the different symptom profiles (predominantly hyperactive, predominantly inattentive, ADHD-C).
(ADxS assessment): Contrary to our initial expectations, however, findings on the effects of ADHD medications in both hypodopaminergic and hyperdopaminergic animal models indicate that the medications primarily used to date appear to have comparable effects in both variants.
Stimulants act primarily as dopamine reuptake inhibitors, thereby increasing the level of dopamine available in the synaptic cleft. Nevertheless, stimulants also reduce hyperactivity in animal models with excess dopamine, such as the DAT-KO mouse, without reducing extracellular dopamine levels. Atomoxetine, on the other hand, appears to reduce hyperactivity only in animal models with dopamine deficiency, but not in those with dopamine excess. Cognitive impairments such as inattention and learning deficits are apparently improved by stimulants as well as by atomoxetine in cases of dopamine excess. More on this at ⇒ ADHD in Animal Models In the chapter ⇒ Neurological Aspects.
(ADxS Assessment): Even though the medications used to date appear to be equally effective in cases of both dopamine deficiency and dopamine excess, we believe it would be desirable to distinguish more clearly between these different variants of ADHD. The fact that existing medications work the same way in both cases could also be a consequence of the fact that the effects of medications have not yet been evaluated separately for the two variants. It is entirely conceivable that, with appropriate differentiation, individual medications—which have so far been dismissed as less effective—could show that they work differently. (compared to the stimulants primarily used to date) lower efficacy, might prove effective for one variant and ineffective for the other—as appears to be the case with atomoxetine in relation to hyperactivity. In this case, the efficacy would need to be reevaluated with regard to the indicated uses.
(ADxS Assessment): The question of ADHD subtypes (hypodopaminergic/hyperdopaminergic) is unlikely to have any practical significance as long as there is no affordable, reliable, and side-effect-free method for determining dopamine (activity) levels in specific brain regions of people with ADHD. However, in scientific research on ADHD and in an in-depth examination of the pharmacological treatment of ADHD, we would like to see greater consideration given to this aspect, as well as a consistent differentiation of study results according to subtypes and presentation forms.
Ayano G, Demelash S, Gizachew Y, Tsegay L, Alati R (2023): The global prevalence of attention deficit hyperactivity disorder in children and adolescents: An umbrella review of meta-analyses. J Affect Disord. 2023 Jul 24;339:860-866. doi: 10.1016/j.jad.2023.07.071. PMID: 37495084. n = 3.277.590 ↥
Ayano G, Tsegay L, Gizachew Y, Necho M, Yohannes K, Abraha M, Demelash S, Anbesaw T, Alati R (2023): Prevalence of attention deficit hyperactivity disorder in adults: Umbrella review of evidence generated across the globe. Psychiatry Res. 2023 Sep 9;328:115449. doi: 10.1016/j.psychres.2023.115449. PMID: 37708807. METASTUDY, n = 21.142.129 ↥
Ayano G, Tsegay L, Gizachew Y, Necho M, Yohannes K, Abraha M, Demelash S, Anbesaw T, Alati R (2023): Corrigendum to ‘Prevalence of attention deficit hyperactivity disorder in adults: Umbrella review of evidence generated across the globe’ [Psychiatry Research 328 (2023) 115449]. Psychiatry Res. 2023 Dec;330:115578. doi: 10.1016/j.psychres.2023.115578. PMID: 37968224. ↥
Wilens, Biederman, Faraone, Martelon, Westerberg, Spencer (2009): Presenting ADHD symptoms, subtypes, and comorbid disorders in clinically referred adults with ADHD. J Clin Psychiatry. 2009 Nov;70(11):1557-62. doi: 10.4088/JCP.08m04785pur. PMID: 20031097; PMCID: PMC2948439 n = 107 ↥
Millstein, Wilens, Biederman, Spencer (1997): Presenting ADHD symptoms and subtypes in clinically referred adults with ADHD. JOURNAL OF ATTENTION DISORDERS, VOL. 2, NO. 3 (OCTOBER 1997), 159-166. n = 149 ↥
Carpenter Rich E, Loo SK, Yang M, Dang J, Smalley SL (2009): Social functioning difficulties in ADHD: association with PDD risk. Clin Child Psychol Psychiatry. 2009 Jul;14(3):329-44. doi: 10.1177/1359104508100890. PMID: 19515751; PMCID: PMC2827258. n = 379 ↥
Bedawi RM, Al-Farsi Y, Mirza H, Al-Huseini S, Al-Mahrouqi T, Al-Kiyumi O, Al-Azri M, Al-Adawi S (2024): Prevalence and Clinical Profile of Adults with ADHD Attending a Tertiary Care Hospital for Five Years. Int J Environ Res Public Health. 2024 Apr 29;21(5):566. doi: 10.3390/ijerph21050566. PMID: 38791781; PMCID: PMC11121453. n = 193 ↥
Ohnishi T, Kobayashi H, Yajima T, Koyama T, Noguchi K (2019): Psychiatric Comorbidities in Adult Attention-deficit/Hyperactivity Disorder: Prevalence and Patterns in the Routine Clinical Setting. Innov Clin Neurosci. 2019 Sep 1;16(9-10):11-16. PMID: 32082943; PMCID: PMC7009330. n = 575 ↥
Konzok J, Gorski M, Winkler TW, Baumeister SE, Warrier V, Leitzmann MF, Baurecht H (2024): Child maltreatment as a transdiagnostic risk factor for the externalizing dimension: a Mendelian randomization study. Mol Psychiatry. 2024 Aug 22. doi: 10.1038/s41380-024-02700-8. PMID: 39174650. ↥
Desman, Petermann (2005): Aufmerksamkeitsdefizit-/Hyperaktivitätsstörung (ADHS): Wie valide sind die Subtypen? Kindheit Und Entwicklung, 14(4), 244–254. doi:10.1026/0942-5403.14.4.244 ↥
Lahey BB, D’Onofrio BM, Waldman ID (2009): Using epidemiologic methods to test hypotheses regarding causal influences on child and adolescent mental disorders. J Child Psychol Psychiatry. 2009 Jan;50(1-2):53-62. doi: 10.1111/j.1469-7610.2008.01980.x. PMID: 19220589; PMCID: PMC2819309. REVIEW ↥
Lahey BB, Pelham WE, Loney J, Lee SS, Willcutt E (2005): Instability of the DSM-IV Subtypes of ADHD from preschool through elementary school. Arch Gen Psychiatry. 2005 Aug;62(8):896-902. doi: 10.1001/archpsyc.62.8.896. PMID: 16061767. ↥
Vahid, Bluschke, Roessner, Stober, Beste (2019): Deep Learning Based on Event-Related EEG Differentiates Children with ADHD from Healthy Controls. J Clin Med. 2019 Jul 19;8(7). pii: E1055. doi: 10.3390/jcm8071055. ↥ ↥
http://www.adhs.info/fuer-paedagogen/speziell-elementarbereich/subtypen.html ↥
http://www.adhs.info/fuer-paedagogen/speziell-primarbereich/subtypen.html ↥ ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seite 809 ↥ ↥ ↥ ↥
Steinhausen, Rothenberger, Döpfner (2010): Handbuch ADHS, Seite 37 ↥ ↥ ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seite 819 ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seite 809 ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seiten 810, 813, mit ausführlicher Darlegung ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seiten 810, 811, 812 mit etlichen weiteren Nachweisen ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seite 816 ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seite 810 ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seite 810 ↥ ↥ ↥ ↥ ↥ ↥ ↥ ↥ ↥ ↥ ↥ ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seite 812 mit weiteren Nachweisen ↥
Pütz (2008): Stress-Erkrankungen: Dysregulationen der Hypothalamus-Hypophysen-Nebennierenrinden-Achse ↥ ↥ ↥
Kirschbaum (2001): Das Stresshormon Cortisol – Ein Bindeglied zwischen Psyche und Soma? in: Jahrbuch der Heinrich-Heine-Universität Düsseldorf, 2001, 150-156, mwNw ↥
Wagner, Born: Psychoendokrine Aspekte neurophysiologischer Funktionen. In: Lautenbacher, Gauggel (2013): Neuropsychologie psychischer Störungen, Seite 131 ↥ ↥
Konrad, Herpertz-Dahlmann (2010): Neuropsychologie der Aufmerksamkeitsdefizit/Hyperaktivitätsstörung (ADHD) in: Lautenbach, Gauggel: Neuropsychologie psychischer Störungen, 2. Auflage 2010, Seiten 453 – 472, S. 468, ohne Quellenangabe ↥ ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seite 809 mit etlichen weiteren Nachweisen ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seite 809 mit weiteren Nachweisen ↥
Sharifi A, Kamari Songhorabadi S, Khayati G, Martin Söelch C, Dentz A (2025): Exploring auditory attention profiles in ADHD subtypes: A comparative analysis of ADHD-I, ADHD-C, and typically developing children. Early Hum Dev. 2025 Aug;207:106289. doi: 10.1016/j.earlhumdev.2025.106289. PMID: 40460474. n = 122 ↥
Klein JL, Allen HA, Clibbens J, Cook A, Amanatidou V, Mavritsaki E (2025): Selective Visual Attention in ADHD: A Narrative Review. Curr Neurol Neurosci Rep. 2025 Jul 24;25(1):51. doi: 10.1007/s11910-025-01435-5. PMID: 40705195; PMCID: PMC12289795. REVIEW ↥ ↥
Froehlich, Becker, Nick, Brinkman, Stein, Peugh, Epstein (2018): Sluggish Cognitive Tempo as a Possible Predictor of Methylphenidate Response in Children With ADHD: A Randomized Controlled Trial. J Clin Psychiatry. 2018 Feb 27;79(2). pii: 17m11553. doi: 10.4088/JCP.17m11553. ↥ ↥
Ramos, Arnsten (2007): Adrenergic pharmacology and cognition: focus on the prefrontal cortex. Pharmacol Ther. 2007 Mar; 113(3):523-36., Kapitel 6 ↥ ↥ ↥
Birnbaum, Gobeske, Auerbach, Taylor, Arnsten (1999): A role for norepinephrine in stress-induced cognitive deficits: α-1-adrenoceptor mediation in prefrontal cortex. Biol. Psychiatry 46, 1266–1274. ↥ ↥ ↥
Ramos, Colgan, Nou, Ovadia, Wilson, Arnsten (2005). The beta-1 adrenergic antagonist, betaxolol, improves working memory performance in rats and monkeys. Biol. Psychiatry 58, 894–900. ↥ ↥ ↥
ähnlich: Arnsten (2000): Stress impairs prefrontal cortical function in rats and monkeys: role of dopamine D1 and norepinephrine alpha-1 receptor mechanisms. Prog Brain Res. 2000;126:183-92. ↥ ↥ ↥
Für starke Stimulation des D1-Dopaminrezeptors: Zahrt, Taylor, Mathew, Arnsten (1997): Supranormal stimulation of D1 dopamine receptors in the rodent prefrontal cortex impairs spatial working memory performance. J Neurosci. 1997 Nov 1;17(21):8528-35. ↥ ↥ ↥
Lee, Shin, Stein (2010): Increased cortisol after stress is associated with variability in response time in ADHD children. Yonsei Med J 51:206–211 ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, ↥
Noble, Ozkaragoz, Ritchie, Zhang, Belin, Sparkes (1998): D2 and D4 Dopamine Receptor Polymorphisms and Personality; American Journal of Medical Genetics (Neuropsychiatric Genetics) 81:257–267 (1998); n = 119 ↥
Edel, Vollmöller (2006): Aufmerksamkeitsdefizit-/Hyperktivitätsstörung bei Erwachsenen, Seite 104 ↥
Simchen, Helga: http://helga-simchen.info/Thesen-zu-ADS, dort unter 8. ↥
Grizenko N, Paci M, Joober R (2010): Is the inattentive subtype of ADHD different from the combined/hyperactive subtype? J Atten Disord. 2010 May;13(6):649-57. doi: 10.1177/1087054709347200. PMID: 19767592. ↥ ↥ ↥
Curran S, Purcell S, Craig I, Asherson P, Sham P (2005): The serotonin transporter gene as a QTL for ADHD. Am J Med Genet B Neuropsychiatr Genet. 2005 Apr 5;134B(1):42-7. doi: 10.1002/ajmg.b.30118. PMID: 15719397. ↥
Grevet EH, Marques FZ, Salgado CA, Fischer AG, Kalil KL, Victor MM, Garcia CR, Sousa NO, Belmonte-de-Abreu P, Bau CH (2007): Serotonin transporter gene polymorphism and the phenotypic heterogeneity of adult ADHD. J Neural Transm (Vienna). 2007;114(12):1631-6. doi: 10.1007/s00702-007-0797-2. PMID: 17690945. ↥
Baykal, Albayrak, Durankuş, Güzel, Abbak, Potas, Beyazyüz, Karabekiroğlu, Donma (2019): Decreased serum orexin A levels in drug-naive children with attention deficit and hyperactivity disorder. Neurol Sci. 2019 Jan 7. doi: 10.1007/s10072-018-3692-8. n = 96 ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seite 809 f ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seite 809, mit etlichen weiteren Nachweisen ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seite 812 ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, Seite 811, mit etlichen weiteren Nachweisen ↥
Steinhausen, Rothenberger, Döpfner (2010): Handbuch ADHS, Seite 25 ↥ ↥
Barkley (1997): Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121(1), 65-94.http://dx.doi.org/10.1037/0033-2909.121.1.65 ↥
http://www.adhspedia.de/wiki/Subtypen#Vorwiegend_Hyperaktiv-Impulsives_Erscheinungsbild_der_ADHS ↥
Barkley (1997): Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121(1), 65-94. http://dx.doi.org/10.1037/0033-2909.121.1.65 ↥
Heim, Ehlert, Hellhammer (2000): The potential role of hypocortisolism in the pathophysiology of stress-related bodily disorders. Psychoneuroendocrinology, 25(1), 1-35 ↥
verringerte Stressantwort der HPA-Achse bei Fibromyalgie: Wingenfeld (2003): Eine Untersuchung endokrinen und psychologischen Veränderungen bei PTSD und stressabhängigen körperlichen Beschwerden, Dissertation ↥
erniedrigte Stressantwort der HPA-Achse bei PTBS: Wingenfeld (2003): Eine Untersuchung endokrinen und psychologischen Veränderungen bei PTSD und stressabhängigen körperlichen Beschwerden, Dissertation ↥
Adriani, Caprioli, Granstrem, Carli, Laviola (2003): The spontaneously hypertensive-rat as an animal model of ADHD: evidence for impulsive and non-impulsive subpopulations. Neurosci Biobehav Rev. 2003 Nov;27(7):639-51. doi: 10.1016/j.neubiorev.2003.08.007. PMID: 14624808. ↥
Barna I, Zelena D, Arszovszki AC, Ledent C (2004): The role of endogenous cannabinoids in the hypothalamo-pituitary-adrenal axis regulation: in vivo and in vitro studies in CB1 receptor knockout mice. Life Sci. 2004 Oct 29;75(24):2959-70. doi: 10.1016/j.lfs.2004.06.006. PMID: 15454346. ↥
Krylatov AV, Serebrov VY (2016): [THE ROLE OF THE ENDOGENOUS CANNABINOID SYSTEM IN THE FORMATION OF THE GENERAL ADAPTATION SYNDROME]. Ross Fiziol Zh Im I M Sechenova. 2016 Nov;102(11):1265-79. Russian. PMID: 30193444. REVIEW ↥ ↥ ↥ ↥
Surkin PN, Gallino SL, Luce V, Correa F, Fernandez-Solari J, De Laurentiis A (2018): Pharmacological augmentation of endocannabinoid signaling reduces the neuroendocrine response to stress. Psychoneuroendocrinology. 2018 Jan;87:131-140. doi: 10.1016/j.psyneuen.2017.10.015. PMID: 29065362. ↥
Rabasa C, Pastor-Ciurana J, Delgado-Morales R, Gómez-Román A, Carrasco J, Gagliano H, García-Gutiérrez MS, Manzanares J, Armario A (2015): Evidence against a critical role of CB1 receptors in adaptation of the hypothalamic-pituitary-adrenal axis and other consequences of daily repeated stress. Eur Neuropsychopharmacol. 2015 Aug;25(8):1248-59. doi: 10.1016/j.euroneuro.2015.04.026. PMID: 26092203. ↥
Evanson NK, Tasker JG, Hill MN, Hillard CJ, Herman JP (2010): Fast feedback inhibition of the HPA axis by glucocorticoids is mediated by endocannabinoid signaling. Endocrinology. 2010 Oct;151(10):4811-9. doi: 10.1210/en.2010-0285. PMID: 20702575; PMCID: PMC2946139. ↥
Di S, Malcher-Lopes R, Halmos KC, Tasker JG (2003): Nongenomic glucocorticoid inhibition via endocannabinoid release in the hypothalamus: a fast feedback mechanism. J Neurosci. 2003 Jun 15;23(12):4850-7. doi: 10.1523/JNEUROSCI.23-12-04850.2003. PMID: 12832507; PMCID: PMC6741208. ↥
Arnsten, Contant (1992): a-2 adrenergic agonists decrease distractibility in aged monkeys performing the delayed response task. Psychopharmacology 108, 159-169. ↥
Arnsten, Leslie (1991): Behavioral and receptor binding analysis of the a-2 adrenergic agonist, UK-14304 (5 bromo-6 2-imidazoline-2-yl amino quinoxaline): Evidence for cognitive enhancement at an a-2 adrenoceptor subtype. Neuropharmacology 30, 1279-1289. ↥
Arnsten, Cai, Goldman-Rakic (1988): The a-2 adrenergic agonist guanfacine improves memory in aged monkeys without sedative or hypotensive side effects: Evidence for a-2 receptor subtypes. J. Neurosci. 8, 4287-4298 ↥
Cai, Ma, Xu, Hu, (1993): Resperine impairs spatial working memory performance in monkeys: Reversal by the a-2 adrenergic agonist clonidine. Brain Res. 614, 191-196 ↥
für Noradrenalin aus dem Nebennierenmark – möglicherweise nur eine Koinzidenz: Skosnik, Chatterton, Swisher, Park (2000): Modulation of attentional inhibition by norepinephrine and cortisol after psychological stress; International Journal of Psychophysiology 36 2000 59-68 ↥
Al-Amin, Zinchenko, Geyer (2018): Hippocampal subfield volume changes in subtypes of attention deficit hyperactivity disorder, Brain Research, Volume 1685, 2018, Pages 1-8, ISSN 0006-8993, https://doi.org/10.1016/j.brainres.2018.02.007. n = 880 ↥
Fernández-Lópe, Molina-Carballo, Cubero-Millán, Checa-Ros, Machado-Casas, Blanca-Jover, Jerez-Calero, Madrid-Fernández, Uberos, Muñoz-Hoyos (2020): Indole Tryptophan Metabolism and Cytokine S100B in Children with Attention-Deficit/Hyperactivity Disorder: Daily Fluctuations, Responses to Methylphenidate, and Interrelationship with Depressive Symptomatology. J Child Adolesc Psychopharmacol. 2020 Feb 12. doi: 10.1089/cap.2019.0072. PMID: 32048862. ↥
Chen G, Gao W, Xu Y, Chen H, Cai H (2023): Serum TSH Levels are Associated with Hyperactivity Behaviors in Children with Attention Deficit/Hyperactivity Disorder. Neuropsychiatr Dis Treat. 2023 Mar 7;19:557-564. doi: 10.2147/NDT.S402530. PMID: 36915908; PMCID: PMC10007977. ↥
Chen QR, Wang Y, Yang BR, Wang YF, Chan RCK (2025): Abnormalities of gray matter volume and structural covariance in children with attention-deficit/hyperactivity disorder subtypes: implications for clinical correlations. Eur Arch Psychiatry Clin Neurosci. 2025 Oct;275(7):1897-1911. doi: 10.1007/s00406-025-02029-5. PMID: 40539998. ↥
Hoy BA, Feehely M, Bi M, Lam M, Abdalmalak A, Fenesi B (2025): Individual Differences in the Neurocognitive Effect of Movement During Executive Functioning in Children with ADHD: Impact of Subtype, Severity, and Gender. Brain Sci. 2025 Jun 9;15(6):623. doi: 10.3390/brainsci15060623. PMID: 40563794; PMCID: PMC12190672. ↥
Stevens, Pearlson, Calhoun, Bessette (2018): Functional Neuroimaging Evidence for Distinct Neurobiological Pathways in Attention-Deficit/Hyperactivity Disorder. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018 Aug;3(8):675-685. doi: 10.1016/j.bpsc.2017.09.005. ↥
McCabe LE, Johnstone SJ, Jiang H, Sun L, Zhang DW (2023): Links Between Excessive Daytime Sleepiness and EEG Power and Activation in Two Subtypes of ADHD. Biol Psychol. 2023 Jan 18:108504. doi: 10.1016/j.biopsycho.2023.108504. PMID: 36681294. ↥
Lei, Du, Wu, Chen, Huang, Du, Bi, Kemp, Gong (2015): Functional MRI reveals different response inhibition between adults and children with ADHD. Neuropsychology. 2015 Nov;29(6):874-81. doi: 10.1037/neu0000200. ↥
Hart, Radua, Nakao, Mataix-Cols, Rubia (2013): Meta-analysis of Functional Magnetic Resonance Imaging Studies of Inhibition and Attention in Attention-deficit/Hyperactivity Disorder: Exploring Task-Specific, Stimulant Medication, and Age Effects. JAMA Psychiatry. 2013;70(2):185–198. doi:10.1001/jamapsychiatry.2013.277 ↥
Rae, Hughes, Weaver, Anderson, Rowe (2014): Selection and stopping in voluntary action: A meta-analysis and combined fMRI study, NeuroImage, Volume 86, 2014, Pages 381-391, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2013.10.012. ↥
Dambacher, Sack, Lobbestael, Arntz, Brugman, Schuhmann (2014): A network approach to response inhibition: dissociating functional connectivity of neural components involved in action restraint and action cancellation. Eur J Neurosci, 39: 821-831. doi:10.1111/ejn.12425 ↥
Wu ZM, Wang P, Liu J, Liu L, Cao XL, Sun L, Yang L, Cao QJ, Wang YF, Yang BR (2023): The clinical, neuropsychological, and brain functional characteristics of the ADHD restrictive inattentive presentation. Front Psychiatry. 2023 Mar 1;14:1099882. doi: 10.3389/fpsyt.2023.1099882. PMID: 36937718; PMCID: PMC10014598. n = 789 ↥ ↥ ↥ ↥
Ercan ES, Suren S, Bacanlı A, Yazici KU, Callı C, Ozyurt O, Aygunes D, Kosova B, Franco AR, Rohde LA (2016): Decreasing ADHD phenotypic heterogeneity: searching for neurobiological underpinnings of the restrictive inattentive phenotype. Eur Child Adolesc Psychiatry. 2016 Mar;25(3):273-82. doi: 10.1007/s00787-015-0731-3. PMID: 26058607. n = 301 ↥ ↥ ↥ ↥ ↥
Ünsel-Bolat G, Ercan ES, Bolat H, Süren S, Bacanlı A, Yazıcı KU, Rohde LA (2023): Comparisons between sluggish cognitive tempo and ADHD-restrictive inattentive presentation phenotypes in a clinical ADHD sample. Atten Defic Hyperact Disord. 2019 Dec;11(4):363-372. doi: 10.1007/s12402-019-00301-y. PMID: 30911899. n = 314 ↥ ↥ ↥ ↥ ↥
Karalunas, Gustafsson, Fair, Musser, Nigg (2018): Do we need an irritable subtype of ADHD? Replication and extension of a promising temperament profile approach to ADHD subtyping. Psychol Assess. 2018 Oct 25. doi: 10.1037/pas0000664. ↥ ↥
Reimherr, Roesler, Marchant, Gift, Retz, Philipp-Wiegmann, Reimherr (2020): Types of Adult Attention-Deficit/Hyperactivity Disorder: A Replication Analysis. J Clin Psychiatry. 2020 Mar 17;81(2):19m13077. doi: 10.4088/JCP.19m13077. PMID: 32220152. n = 1.490 ↥
Reimherr, Marchant, Gift, Steans, Wender (2015): Types of adult attention-deficit hyperactivity disorder (ADHD): baseline characteristics, initial response, and long-term response to treatment with methylphenidate. Atten Defic Hyperact Disord. 2015 Jun;7(2):115-28. doi: 10.1007/s12402-015-0176-z. PMID: 25987323. ↥
Katsuki, Yamashita, Yamane, Kanba, Yoshida (2020): Clinical Subtypes in Children with Attention-Deficit Hyperactivity Disorder According to Their Child Behavior Checklist Profile. Child Psychiatry Hum Dev. 2020 Dec;51(6):969-977. doi: 10.1007/s10578-020-00977-8. PMID: 32166459. n = 314 ↥
Volk, Neuman, Todd (2005): A systematic evaluation of ADHD and comorbid psychopathology in a population-based twin sample. J Am Acad Child Adolesc Psychiatry. 2005 Aug;44(8):768-75. doi: 10.1097/01.chi.0000166173.72815.83. PMID: 16034278. n = 1.616 REVIEW ↥
Volk, Henderson, Neuman, Todd (2006): Validation of population-based ADHD subtypes and identification of three clinically impaired subtypes. Am J Med Genet B Neuropsychiatr Genet. 2006 Apr 5;141B(3):312-8. doi: 10.1002/ajmg.b.30299. PMID: 16526027. n = 1.346 ↥
Wexler BE, Kish R . Using micro-cognition biomarkers of neurosystem dysfunction to redefine ADHD subtypes: A scalable digital path to diagnosis based on brain function. Psychiatry Res. 2023 Aug;326:115348. doi: 10.1016/j.psychres.2023.115348. PMID: 37494880. ↥
Hu LF, Zhong YY, Wang P, Liu L, Cao XL, Sun L, Cao QJ, Yang L, Qian Y, Wang YF, Yang BR, Wu ZM (2025): White matter microstructural subgroups of children with ADHD: Similar clinical presentations and distinct neuropsychological profiles. J Psychiatr Res. 2025 Mar;183:197-203. doi: 10.1016/j.jpsychires.2025.02.028. PMID: 39983627. n = 316 ↥
Leikauf JE, Griffiths KR, Saggar M, Hong DS, Clarke S, Efron D, Tsang TW, Hermens DF, Kohn MR, Williams LM (2017): Identification of biotypes in Attention-Deficit/Hyperactivity Disorder, a report from a randomized, controlled trial. Pers Med Psychiatry. 2017 Jul;3:8-17. doi: 10.1016/j.pmip.2017.02.001. PMID: 35637915; PMCID: PMC9148272. ↥
Goh PK, Suh DE, Wong AWWA, Bodalski EA, Canu WH (2025): Extending the ADHD Phenotype and Parsing Heterogeneity Via Emotional Dysregulation and Personality: A Latent Profile Analysis in College Students. J Atten Disord. 2025 Jul;29(9):659-673. doi: 10.1177/10870547251326676. PMID: 40145261. ↥
Pan N, Long Y, Qin K, Pope I, Chen Q, Zhu Z, Cao Y, Li L, Singh MK, McNamara RK, DelBello MP, Chen Y, Fornito A, Gong Q (2025): Mapping ADHD Heterogeneity and Biotypes through Topological Deviations in Morphometric Similarity Networks. medRxiv [Preprint]. 2025 Mar 28:2025.03.27.25324802. doi: 10.1101/2025.03.27.25324802. PMID: 40196255; PMCID: PMC11974972. ↥
Sabaroedin K, Tiego J, Fornito A (2023): Circuit-Based Approaches to Understanding Corticostriatothalamic Dysfunction Across the Psychosis Continuum. Biol Psychiatry. 2023 Jan 15;93(2):113-124. doi: 10.1016/j.biopsych.2022.07.017. PMID: 36253195. REVIEW ↥
Banerjee E, Nandagopal K (2015): Does serotonin deficit mediate susceptibility to ADHD? Neurochem Int. 2015 Mar;82:52-68. doi: 10.1016/j.neuint.2015.02.001. PMID: 25684070. REVIEW ↥
English BA, Hahn MK, Gizer IR, Mazei-Robison M, Steele A, Kurnik DM, Stein MA, Waldman ID, Blakely RD (2009): Choline transporter gene variation is associated with attention-deficit hyperactivity disorder. J Neurodev Disord. 2009 Dec;1(4):252-63. doi: 10.1007/s11689-009-9033-8. PMID: 21547719; PMCID: PMC3164006. ↥
Donovan E, Avila C, Klausner S, Parikh V, Fenollar-Ferrer C, Blakely RD, Sarter M (2022): Disrupted Choline Clearance and Sustained Acetylcholine Release In Vivo by a Common Choline Transporter Coding Variant Associated with Poor Attentional Control in Humans. J Neurosci. 2022 Apr 20;42(16):3426-3444. doi: 10.1523/JNEUROSCI.1334-21.2022. PMID: 35232764; PMCID: PMC9034784. ↥
Lee J, Laurin N, Crosbie J, Ickowicz A, Pathare T, Malone M, Kennedy JL, Tannock R, Schachar R, Barr CL (2008): Association study of the nicotinic acetylcholine receptor alpha4 subunit gene, CHRNA4, in attention-deficit hyperactivity disorder. Genes Brain Behav. 2008 Feb;7(1):53-60. doi: 10.1111/j.1601-183X.2007.00325.x. PMID: 17504247; PMCID: PMC4833496. ↥
Szukiewicz D (2024): Histaminergic System Activity in the Central Nervous System: The Role in Neurodevelopmental and Neurodegenerative Disorders. Int J Mol Sci. 2024 Sep 12;25(18):9859. doi: 10.3390/ijms25189859. PMID: 39337347; PMCID: PMC11432521. REVIEW ↥
Sudre G, Gildea DE, Shastri GG, Sharp W, Jung B, Xu Q, Auluck PK, Elnitski L, Baxevanis AD, Marenco S, Shaw P (2023): Mapping the cortico-striatal transcriptome in attention deficit hyperactivity disorder. Mol Psychiatry. 2023 Feb;28(2):792-800. doi: 10.1038/s41380-022-01844-9. PMID: 36380233; PMCID: PMC9918667. ↥
Cooper RE, Williams E, Seegobin S, Tye C, Kuntsi J, Asherson P (2017): Cannabinoids in attention-deficit/hyperactivity disorder: A randomised-controlled trial. Eur Neuropsychopharmacol. 2017 Aug;27(8):795-808. doi: 10.1016/j.euroneuro.2017.05.005. PMID: 28576350. ↥
Jensen PS, Hinshaw SP, Kraemer HC, Lenora N, Newcorn JH, Abikoff HB, March JS, Arnold LE, Cantwell DP, Conners CK, Elliott GR, Greenhill LL, Hechtman L, Hoza B, Pelham WE, Severe JB, Swanson JM, Wells KC, Wigal T, Vitiello B (2001): ADHD comorbidity findings from the MTA study: comparing comorbid subgroups. J Am Acad Child Adolesc Psychiatry. 2001 Feb;40(2):147-58. doi: 10.1097/00004583-200102000-00009. PMID: 11211363. ↥
Diamond (2011): Biological and social influences on cognitive control processes dependent on prefrontal cortex. Prog Brain Res. 2011;189:319-39. doi: 10.1016/B978-0-444-53884-0.00032-4. PMID: 21489397; PMCID: PMC4103914. REVIEW ↥ ↥ ↥ ↥
Soliva, Fauquet, Bielsa, Rovira, Carmona, Ramos-Quiroga, Hilferty, Bulbena, Casas, Vilarroya (3020): Quantitative MR analysis of caudate abnormalities in pediatric ADHD: proposal for a diagnostic test. Psychiatry Res. 2010 Jun 30;182(3):238-43. doi: 10.1016/j.pscychresns.2010.01.013. PMID: 20488672. ↥
Casey, Castellanos, Giedd, Marsh, Hamburger, Schubert, Vauss, Vaituzis, Dickstein, Sarfatti, Rapoport (1997): Implication of right frontostriatal circuitry in response inhibition and attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry. 1997 Mar;36(3):374-83. doi: 10.1097/00004583-199703000-00016. PMID: 9055518. ↥
Cools R, D’Esposito M (2011): Inverted-U-shaped dopamine actions on human working memory and cognitive control. Biol Psychiatry. 2011 Jun 15;69(12):e113-25. doi: 10.1016/j.biopsych.2011.03.028. PMID: 21531388; PMCID: PMC3111448. REVIEW ↥
Arnsten, Pliszka (2011): Catecholamine influences on prefrontal cortical function: relevance to treatment of attention deficit/hyperactivity disorder and related disorders. Pharmacol Biochem Behav. 2011 Aug;99(2):211-6. doi: 10.1016/j.pbb.2011.01.020. PMID: 21295057; PMCID: PMC3129015. REVIEW ↥
Waldman, Rowe, Abramowitz, Kozel, Mohr, Sherman, Cleveland, Sanders, Gard, Stever (1998): Association and linkage of the dopamine transporter gene and attention-deficit hyperactivity disorder in children: heterogeneity owing to diagnostic subtype and severity. Am J Hum Genet. 1998 Dec;63(6):1767-76. doi: 10.1086/302132. PMID: 9837830; PMCID: PMC1377649. ↥
Wilens (2008): Effects of methylphenidate on the catecholaminergic system in attention-deficit/hyperactivity disorder. J Clin Psychopharmacol 28 (3 Suppl 2), S. 46 – 53 ↥ ↥
Volkow, Wang, Smith, Fowler, Telang, Logan, Tomasi (2015); Recovery of dopamine transporters with methamphetamine detoxification is not linked to changes in dopamine release. Neuroimage. 2015 Nov 1;121:20-8. doi: 10.1016/j.neuroimage.2015.07.035. ↥ ↥
Krause, Dresel, Krause, la Fougere, Ackenheil (2003): The dopamine transporter and neuroimaging in attention deficit hyperactivity disorder. Neurosci Biobehav Rev. 2003 Nov;27(7):605-13. n = 31 ↥
Roessner, Sagvolden, Dasbanerjee, Middleton, Faraone, Walaas, Becker, Rothenberger, Bock (2010): Neuroscience. 2010 Jun 2;167(4):1183-91. doi: 10.1016/j.neuroscience.2010.02.073. ↥
Miller, Pomerleau, Huettl, Russell, Gerhardt, Glaser (2012): Neuropharmacology. The spontaneously hypertensive and Wistar Kyoto rat models of ADHD exhibit sub-regional differences in dopamine release and uptake in the striatum and nucleus accumbens. 2012 Dec;63(8):1327-34. doi: 10.1016/j.neuropharm.2012.08.020. ↥
Chen, Zheng, Xie, Huang, Ke, Zheng, Lu, Hu (2017): Glucocorticoids/glucocorticoid receptors effect on dopaminergic neurotransmitters in ADHD rats; Brain Research Bulletin; Volume 131, May 2017, Pages 214-220 ↥ ↥ ↥
Beery, Quay, Pelham (2013): Differential Response to Methylphenidate in Inattentive and Combined Subtype ADHD; Journal of Attention Disorders Vol 21, Issue 1, pp. 62 – 70, https://doi.org/10.1177/1087054712469256 ↥
Socanski, Herigstad, Beneventi, Einarsdottir (2015): ADHD predominantly inattentive subtype, interictal epileptiform discharges and use of methylphenidate for ADHD; European Journal of Paediatric Neurology, Volume 19, Supplement 1, May 2015, Page S75 ↥
Waldman, Rowe, Abramowitz, Kozel, Mohr, Sherman, Cleveland, Sanders, Gard, Stever (1998): Association and linkage of the dopamine transporter gene and attention-deficit hyperactivity disorder in children: heterogeneity owing to diagnostic subtype and severity.Am J Hum Genet. 1998 Dec;63(6):1767-76. ↥
Park, Cho, Kim, Shin, Yoo, Oh, Han, Cheong, Kim (2014): Differential perinatal risk factors in children with attention-deficit/hyperactivity disorder by subtype. Psychiatry Res. 2014 Nov 30;219(3):609-16. doi: 10.1016/j.psychres.2014.05.036. ↥
Bidwell, Willcutt, McQueen, DeFries, Olson, Smith, Pennington (2011): A Family Based Association Study of DRD4, DAT1, and 5HTT and Continuous Traits of Attention-Deficit Hyperactivity Disorder; Behav Genet. 2011 Jan; 41(1): 165–174. doi: 10.1007/s10519-010-9437-y, PMCID: PMC3674022, NIHMSID: NIHMS470165 ↥
Akutagava-Martins, Salatino-Oliveira, Kieling, Genro, Polanczyk, Anselmi, Menezes, Gonçalves, Wehrmeister, Barros, Callegari-Jacques, Rohde, Hutz (2016): COMT and DAT1 genes are associated with hyperactivity and inattention traits in the 1993 Pelotas Birth Cohort: evidence of sex-specific combined effect. J Psychiatry Neurosci. 2016 Oct;41(6):405-412. n = 4101 ↥
Levy (2007): What do dopamine transporter and catechol-o-methyltransferase tell us about attention deficit-hyperactivity disorder? Pharmacogenomic implications. Aust N Z J Psychiatry. 2007 Jan;41(1):10-6. ↥
Al-Damluji (1988): Adrenergic mechanisms in the control of corticotrophin secretion. J Endocrinol 1988;119:5–14. ↥ ↥
Plotsky, Cunningham, Widmaier (1989): Catecholaminergic modulation of corticotropin-releasing factor and adrenocorticotropin secretion. Endocr Rev 1989;10:437–458. ↥ ↥
Oswald, Wong, McCaul, Zhou, Kuwabara, Choi, Brasic, Wand (2005): Relationships among ventral striatal dopamine release, cortisol secretion, and subjective responses to amphetamine. Neuropsychopharmacology. 2005 Apr;30(4):821-32. ↥
Skosnik, Chatterton, Swisher, Park (2000): Modulation of attentional inhibition by norepinephrine and cortisol after psychological stress; International Journal of Psychophysiology 36 2000 59-68 ↥
Gordis, Granger, Susman, Trickett (2006): Asymmetry between salivary cortisol and α-amylase reactivity to stress: Relation to aggressive behavior in adolescents, Psychoneuroendocrinology, Volume 31 , Issue 8 , 976 – 987 ↥
Kao, Stalla, Stalla, Wotjak, Anderzhanova (2015): Norepinephrine and corticosterone in the medial prefrontal cortex and hippocampus predict PTSD-like symptoms in mice. Eur J Neurosci, 41: 1139–1148. doi:10.1111/ejn.12860 ↥
Castellanos, Elia, Kruesi, Gulotta, Mefford, Potte, Ritchie, Rapoport (1994): Cerebrospinal fluid monoamine metabolites in boys with attention-deficit hyperactivity disorder; Psychiatry Research, Volume 52, Issue 3, 305 – 316 ↥
Higley, Suomi, Linnoila (1992): A longitudinal assessment of CSF monoamine metabolite and plasma cortisol concentrations in young rhesus monkeys, Biological Psychiatry, 1992 , Volume 32 , Issue 2 , 127 – 145, n = 22 ↥
Wong, Kling, Munson, Listwak, Licinio, Prolo, Karp, McCutcheon, Geracioti, DeBellis, Rice, Goldstein, Veldhuis, Chrousos, Oldfield, McCann, Gold (2000): Pronounced and sustained central hypernoradrenergic function in major depression with melancholic features: Relation to hypercortisolism and corticotropin-releasing hormone. PNAS 2000 January, 97 (1) 325-330. https://doi.org/10.1073/pnas.97.1.325., n = 30 ↥
Roy, Pickar, De Jong, Karoum, Linnoila (1988): Norepinephrine and Its Metabolites in Cerebrospinal Fluid, Plasma, and Urine – Relationship to Hypothalamic-Pituitary-Adrenal Axis Function in Depression; Arch Gen Psychiatry. 1988;45(9):849-857. doi:10.1001/archpsyc.1988.01800330081010, n = 140 ↥ ↥
Radosevich, Nash, Lacy, Brooks, O’Donovan, Williams, Abumrad (1989): Effects of low- and high-intensity exercise on plasma and cerebrospinal fluid levels of ir-β-endorphin, ACTH, cortisol, norepinephrine and glucose in the conscious dog; Brain Research, Volume 498, Issue 1, 25 September 1989, Pages 89-98 ↥
Geracioti, Baker, Ekhator, West, Hill, Bruce, Schmidt, Rounds-Kugler, Yehuda, Keck, Kasckow (2001): CSF Norepinephrine Concentrations in Posttraumatic Stress Disorder; https://doi.org/10.1176/appi.ajp.158.8.1227 ↥
de Kloet, Vermetten, Geuze, Kavelaars, Heijnen, Westenberg (2006): Assessment of HPA-axis function in posttraumatic stress disorder: pharmacological and non-pharmacological challenge tests, a review. J Psychiatr Res. 2006 Sep;40(6):550-67. Metaanalyse ↥
Geracioti, Baker1, Kasckow, Strawn, Mulchahey, Dashevsky, Horn, Ekhator (2008): Effects of trauma-related audiovisual stimulation on cerebrospinal fluid norepinephrine and corticotropin-releasing hormone concentrations in post-traumatic stress disorder. Psychoneuroendocrinology, 2008 , Volume 33 , Issue 4 , 416 – 424, n = 8 ↥
Meewisse, Reitsma, de Vries, Gersons, Olff (2007): Cortisol and post-traumatic stress disorder in adults. Systematic review and meta-analysis. The British Journal of Psychiatry Oct 2007, 191 (5) 387-392; DOI: 10.1192/bjp.bp.106.024877, Metaanalyse von 37 Studien mit n = 1628 ↥
Higley JD, Mehlman P, Taub DM, Higley SB, Suomi SJ, Linnoila M, Vickers JH. Cerebrospinal Fluid Monoamine and Adrenal Correlates of Aggression in Free-Ranging Rhesus Monkeys. *Arch Gen Psychiatry.*1992;49(6):436–441. doi:10.1001/archpsyc.1992.01820060016002, n = 28 ↥
Martignoni, Petraglia, Costa, Bono, Genazzani, Nappi (1990): Dementia of the Alzheimer type and hypothalamus-pituitary-adrenocortical axis: changes in cerebrospinal fluid corticotropin releasing factor and plasma cortisol levels. Acta Neurologica Scandinavica, 81: 452–456. doi:10.1111/j.1600-0404.1990.tb00994.x, n = 21 ↥
Wang, Raskind, Wilkinson, Shofer, Sikkema, Szot, Quinn, Galasko, Peskind (2018): Associations between CSF cortisol and CSF norepinephrine in cognitively normal controls and patients with amnestic MCI and AD dementia. Int J Geriatr Psychiatry. 2018;1–6. https://doi.org/10.1002/gps.4856 ↥
Overli, Harris, Winberg (1999): Short-Term Effects of Fights for Social Dominance and the Establishment of Dominant-Subordinate Relationships on Brain Monoamines and Cortisol in Rainbow Trout. Brain Behav Evol 1999;54:263-275 ↥
Radosevich, Lacy, Brown, Williams, Abumrad (1988): Effects of insulin-induced hypoglycemia on plasma and cerebrospinal fluid levels of ir-β-endorphins, ACTH, cortisol, norepinephrine, insulin and glucose in the conscious dog. Brain Research, Volume 458, Issue 2, 23 August 1988, Pages 325-338 ↥
Breslow, Parker, Frank, Norris, Yates, Raff, Rock, Christopherson, Rosenfeld, Beattie (1993): Determinants of catecholamine and cortisol responses to lower extremity revascularization. The PIRAT Study Group. (PMID:8267195); Anesthesiology [01 Dec 1993, 79(6):1202-1209] ↥
http://www.lab4more.de/wp-content/uploads/2017/07/8006_Neurostress_I_NT_%20Metoboliten.pdf ↥
Engert, Vogel, Efanov, Duchesne, Corbo, Ali, Pruessner (2010): Investigation into the cross-correlation of salivary cortisol and alpha-amylase responses to psychological stress; Psychoneuroendocrinology , Volume 36 , Issue 9 , 1294 – 1302; DOI: https://doi.org/10.1016/j.psyneuen.2011.02.018, n = 50 ↥
Strittmatter, Hamann, Blaes, Fischer, Grauer, Hoffmann, Schimrigk (2007): Fehlregulation der hypothalamisch-hypophysär-adrenalen Achse und chronobiologische Auffälligkeiten beim Clusterkopfschmerz; Alterations of the Hypothalamic-Pituitary-Adrenal Axis and Chronobiological Disturbances in Cluster Headache; Fortschr Neurol Psychiatr 1997; 65(1): 01-07; DOI: 10.1055/s-2007-996303 ↥
Goenjian; Yehuda et al (1996): Basal cortisol, dexamethasone suppression of cortisol, and MHPG in adolescents after the 1988 earthquake in Armenia; The American Journal of Psychiatry; Washington Vol. 153, Iss. 7, (Jul 1996): 929-34 ↥
Jimerson, Insel, Reus, Kopin (1983): Increased Plasma MHPG in Dexamethasone-Resistant Depressed Patients; Arch Gen Psychiatry. 1983;40(2):173-176. doi:10.1001/archpsyc.1983.01790020067006 ↥
Rubin, Price, Charney, Heninger (1985): Noradrenergic function and the cortisol response to dexamethasone in depression; Psychiatry Research, Volume 15, Issue 1, 5 – 15 ↥
Yehuda, Resnick, Schmeidler, Yang, Pitman (1998): Predictors of Cortisol and 3-Methoxy-4-Hydroxyphenylglycol Responses in the Acute Aftermath of Rape; Biological Psychiatry, Volume 43, Issue 11, 855 – 859 ↥
Uhde, Joffe, Jimerson, Post (1988): Normal urinary free cortisol and plasma MHPG in panic disorder: Clinical and theoretical implications; Biological Psychiatry Volume 23, Issue 6, 15 March 1988, Pages 575-585; n = 24 ↥
Posener, Schildkraut, Samson, Schatzberg (1996): Diurnal variation of plasma cortisol and homovanillic acid in healthy subjects; Psychoneuroendocrinology, Volume 21, Issue 1, 33 – 38, n = 10 ↥
Kopin, Jimerson, Markey, Ebert, Polinsky (1984): Disposition and Metabolism of MHPG in Humans: Application to Studies in Depression; Verteilung und Metabolismus des MHPG im menschlichen Organismus: Anwendung bei Studien zur Depression; Pharmacopsychiatry 1984; 17(1): 3-8; DOI: 10.1055/s-2007-1017399 ↥
Blombery, Kopin, Gordon, Markey, Ebert (1980): Conversion of MHPG to Vanillylmandelic Acid – Implications for the Importance of Urinary MHPG. Arch Gen Psychiatry. 1980;37(10):1095-1098. doi:10.1001/archpsyc.1980.01780230013001 ↥
Brennan, Arnsten (2008): Neuronal mechanisms underlying attention deficit hyperactivity disorder: the influence of arousal on prefrontal cortical function. Ann N Y Acad Sci. 2008;1129:236-45. doi: 10.1196/annals.1417.007. ↥
Oberlander TF, Weinberg J, Papsdorf M, Grunau R, Misri S, Devlin AM (2008): Prenatal exposure to maternal depression, neonatal methylation of human glucocorticoid receptor gene (NR3C1) and infant cortisol stress responses. Epigenetics. 2008 Mar-Apr;3(2):97-106. doi: 10.4161/epi.3.2.6034. PMID: 18536531. ↥ ↥
Pasion, Barbosa (2019): ERN as a transdiagnostic marker of the internalizing-externalizing spectrum: A dissociable meta-analytic effect. Neurosci Biobehav Rev. 2019 Aug;103:133-149. doi: 10.1016/j.neubiorev.2019.06.013. ↥
Loo, McGough, McCracken, Smalley (2018): Parsing heterogeneity in attention-deficit hyperactivity disorder using EEG-based subgroups. J Child Psychol Psychiatry. 2018 Mar;59(3):223-231. doi: 10.1111/jcpp.12814, n = 781 ↥
Bazanova, Auer, Sapina (2018): On the Efficiency of In dividualized Theta/Beta Ratio Neurofeedback Combined with Forehead EMG Training in ADHD Children. Front Hum Neurosci. 2018 Jan 18;12:3. doi: 10.3389/fnhum.2018.00003. eCollection 2018., n = 117 ↥
Berchio C, Kumar SS, Narzisi A, Fabbri-Destro M (2025): EEG Microstates in the Study of Attention-Deficit Hyperactivity Disorder: A Review of Preliminary Evidence. Psychophysiology. 2025 Jan;62(1):e14762. doi: 10.1111/psyp.14762. PMID: 39775802. REVIEW ↥
Diamond: Attention-deficit disorder (attention-deficit/hyperactivity disorder without hyperactivity): A neurobiologically and behaviorally distinct disorder from attention-deficit (with hyperactivity), Development and Psychopathology 17 (2005), 807–825, S. 819, Seite 810 ↥ ↥
Bussalb, Collin, Barthélemy, Ojeda, Bioulac, Blasco-Fontecilla, Brandeis, Purper Ouakil, Ros, Mayaud (2019): Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder? Clin Neurophysiol. 2019 Aug;130(8):1387-1396. doi: 10.1016/j.clinph.2019.02.021. ↥
Clarke, Barry, Dupuy, Heckel, McCarthy, Selikowitz, Johnstone (2011): Behavioural differences between EEG-defined subgroups of children with attention-deficit/hyperactivity disorder. Clinical Neurophysiology, 122, 1333-1341., dort: “Cluster 4”, n = 264 ↥ ↥ ↥ ↥ ↥ ↥ ↥
Clarke, Barry, McCarthy, Selikowitz (1998): EEG analysis in attention-deficit/hyperactivity disorder: a comparative study of two subtypes. Psychiatry Res 1998;81:19–29. ↥
Clarke, Barry, McCarthy, Selikowitz (2001): EEG differences in two subtypes of Attention-Deficit/Hyperactivity Disorder. Psychophysiology, 2001; 38:212–21 ↥
Kühle, Dr. med Hans-Jürgen, Neurofeedbacktherapie bei ADHS, 2010 (PDF, Download August 2015), Kapitel 8 oder Kühle (2010) Neurofeedbacktherapie bei ADHS, hier Kapitel 11 ↥ ↥ ↥ ↥ ↥ ↥ ↥ ↥
Kühle (2010): Neurofeedbacktherapie bei ADHS (PDF, Download August 2015), Kapitel 8 oder Kühle (2010): Neurofeedbacktherapie bei ADHS, hier Kapitel 11 ↥
Clarke, Barry, Dupuy, Heckel, McCarthy, Selikowitz, Johnstone (2011): Behavioural differences between EEG-defined subgroups of children with attention-deficit/hyperactivity disorder. Clinical Neurophysiology, 122, 1333-1341., n = 264 ↥ ↥ ↥ ↥ ↥ ↥ ↥ ↥ ↥
Gevensleben, Moll, Heinrich (2010): Neurofeedback-Training bei Kindern mit Aufmerksamkeitsdefizit-/Hyperaktivitätsstörung (ADHS); Effekte auf Verhaltens- und neurophysiologischer Ebene; Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie, 38 (6), 2010, 409–420, Seite 417 ↥
Mohagheghi, Amiri, Moghaddasi Bonab, Chalabianloo, Noorazar, Tabatabaei, Farhang (2017): A Randomized Trial of Comparing the Efficacy of Two Neurofeedback Protocols for Treatment of Clinical and Cognitive Symptoms of ADHD: Theta Suppression/Beta Enhancement and Theta Suppression/Alpha Enhancement. Biomed Res Int. 2017;2017:3513281. doi: 10.1155/2017/3513281. ↥
Lubar, J. F., Swartwood, M. O., Swartwood, J. N. & O’Donnell, P. H. (1995). Evaluation of the effectiveness of EEG neurofeedback training for ADHD in a clinical setting as measured by changes in T.O.V.A. scores, behavioral ratings, and WISC-R performance. Biofeedback and Self Regulation 20, 83–99 n = 19 ↥
Clarke, Barry, Dupuy, Heckel, McCarthy, Selikowitz, Johnstone (2011): Behavioural differences between EEG-defined subgroups of children with attention-deficit/hyperactivity disorder. Clinical Neurophysiology, 122, 1333-1341., n = 264, dort als “Cluster 1” ↥ ↥ ↥ ↥ ↥ ↥
Kühle (2010): Neurofeedbacktherapie bei ADHS (PDF, Download August 2015), Kapitel 8 oder Kühle (2010) Neurofeedbacktherapie bei ADHS, hier Kapitel 11 ↥
Kropotov (2008): Quantitative EEG, Event-Related Potentials and Neurotherapy, zitiert nach Strehl (Herausgeber) (2013): Neurofeedback, Seite 60. Kropotov ist einer der angesehensten Forscher auf dem Gebiet von QEEG und AD(H)S. Er ist Leiter des Institute of human brain in St. Petersburg, an dem bereits Pawlow tätig war. ↥
Kropotov (2008): Quantitative EEG, Event-Related Potentials and Neurotherapy., zitiert nach Strehl (Herausgeber) (2013): Neurofeedback, Seite 60 ↥
Clarke, Barry, McCarthy, Selikowitz (2001): Excess beta in children with attention-deficit/hyperactivity disorder: an atypical electrophysiological group. Psychiatry Research, 103, 205-218. ↥
Clarke, Barry, Dupuy, McCarthy, Selikowitz, Johnstone (2013). Excess beta activity in the EEG of children with attention-deficit/hyperactivity disorder: a disorder of arousal? International Journal of Psychophysiology, 89, 314-319 ↥ ↥ ↥ ↥ ↥ ↥ ↥ ↥
Ogrim, Kropotov, Brunner, Candrian, Sandvik, Hestad (2014): Predicting the clinical outcome of stimulant medication in pediatric attention-deficit/hyperactivity disorder: data from quantitative electroencephalography, event-related potentials, and a go/no-go test. Neuropsychiatr Dis Treat. 2014 Feb 3;10:231-42. doi: 10.2147/NDT.S56600. N = 188 ↥
Clarke, Barry, Dupuy, Heckel, McCarthy, Selikowitz, Johnstone (2011): Behavioural differences between EEG-defined subgroups of children with attention-deficit/hyperactivity disorder. Clinical Neurophysiology, 122, 1333-1341., n = 264, dort: “Cluster 3” ↥ ↥ ↥ ↥ ↥ ↥
Kropotov (2008): Quantitative EEG, Event-Related Potentials and Neurotherapy,, zitiert nach Strehl (Herausgeber) (2013): Neurofeedback, Seite 60. Kropotov ist einer der angesehensten Forscher auf dem Gebiet von QEEG und AD(H)S. Er ist Leiter des Institute of human brain in St. Petersburg, an dem bereits Pawlow tätig war. ↥
Kropotov (2008): Quantitative EEG, Event-Related Potentials and Neurotherapy., zitiert nach Strehl (Herausgeber) (2013): Neurofeedback, Seite 60 ↥ ↥
Kropotov (2008): Quantitative EEG, Event-Related Potentials and Neurotherapy,, zitiert nach Strehl (Herausgeber) (2013): Neurofeedback, Seite 60 ↥
Kropotov (2008): Quantitative EEG, Event-Related Potentials and Neurotherapy, zitiert nach Strehl (Herausgeber) (2013): Neurofeedback, Seite 60 ↥
Clarke, Barry, Dupuy, Heckel, McCarthy, Selikowitz, Johnstone (2011): Behavioural differences between EEG-defined subgroups of children with attention-deficit/hyperactivity disorder. Clinical Neurophysiology, 122, 1333-1341., Seite 1339 ↥
Sutton, Burnette, Mundy, Meyer, Vaughan, Sanders, Yale (2005): Resting cortical brain activity and social behavior in higher functioning children with autism. J Child Psychol Psychiatry 2005;46:211–22. ↥
Chang, Yang, Chiang, Ouyang, Wu, Yu, Lin. Delay Maturation in Occipital Lobe in Girls With Inattention Subtype of Attention-Deficit Hyperactivity Disorder. Clin EEG Neurosci. 2020 Jan 14;1550059419899328. doi: 10.1177/1550059419899328. PMID: 31933379. ↥
Kropotov (2008): Quantitative EEG, Event-Related Potentials and Neurotherapy., zitiert nach Strehl (Herausgeber) (2013): Neurofeedback, Seite 60. Kropotov ist einer der angesehensten Forscher auf dem Gebiet von QEEG und AD(H)S. Er ist Leiter des Institute of human brain in St. Petersburg, an dem bereits Pawlow tätig war. ↥
Müller, Candrian, Kropotov (2011): ADHS – Neurofeedback in der Praxis, S. 157 ↥
Ji Y, Choi TY, Lee J, Yoon S, Won GH, Jeong H, Kang SW, Kim JW (2022): Characteristics of Attention-Deficit/Hyperactivity Disorder Subtypes in Children Classified Using Quantitative Electroencephalography. Neuropsychiatr Dis Treat. 2022 Nov 21;18:2725-2736. doi: 10.2147/NDT.S386774. PMID: 36437880; PMCID: PMC9697401. ↥
Duric NS, Assmus J, Børresen H, Golos AD, Socanski D, Duric A, Surmeli T (2023): Quantitative electroencephalography in children with attention deficit hyperactivity disorder and healthy children: Behavioral and age correlates. Appl Neuropsychol Child. 2023 Dec 12:1-9. doi: 10.1080/21622965.2023.2288865. PMID: 38086349. ↥
Lei, Ma, Du, Shen, Jin, Gong (2014): Microstructural abnormalities in the combined and inattentive subtypes of attention deficit hyperactivity disorder: a diffusion tensor imaging study. In: Scientific reports. Band 4, 2014, S. 6875. n = 21 ADHS-C und n = 28 ADHS-HI ↥
Witt, Stevens (2015): Relationship between white matter microstructure abnormalities and ADHD symptomatology in adolescents. Psychiatry research. Band 232, Nummer 2, Mai 2015, S. 168–174. n = 22 ↥
Oades (2008): Dopamine–serotonin interactions in attention-deficit hyperactivity disorder (ADHD), Progress in Brain Research, Volume 172, 2008, Pages 543-565, https://doi.org/10.1016/S0079-6123(08)00926-6 ↥
Serrallach, Groß, Christiner, Wildermuth, Schneider (2022): Neuromorphological and Neurofunctional Correlates of ADHD and ADD in the Auditory Cortex of Adults. Front Neurosci. 2022 May 6;16:850529. doi: 10.3389/fnins.2022.850529. PMID: 35600622; PMCID: PMC9121124. n = 82 ↥
Liu Q, Liao W, Yang L, Cao L, Liu N, Gu Y, Wang S, Xu X, Wang H (2024): Aberrant amplitude of low-frequency fluctuation and functional connectivity in children with different subtypes of ADHD: a resting-state fNIRS study. BMC Psychiatry. 2024 Dec 18;24(1):919. doi: 10.1186/s12888-024-06350-6. PMID: 39696119; PMCID: PMC11658069. n = 86 ↥ ↥
Tang W, Jiang J, Wang H (2025): Brain functional differences among ADHD subtypes in children revealed by phase-amplitude coupling analysis of resting-state EEG. Int J Psychophysiol. 2025 Sep;215:113222. doi: 10.1016/j.ijpsycho.2025.113222. PMID: 40684807. ↥ ↥
Kasahara S, Takahashi M, Suto T, Morita T, Obata H, Niwa SI (2025): Innovative therapeutic strategies using ADHD medications tailored to the behavioral characteristics of patients with chronic pain. Front Pharmacol. 2025 Feb 26;16:1500313. doi: 10.3389/fphar.2025.1500313. PMID: 40078279; PMCID: PMC11896983. REVIEW ↥
Bouchatta O, Aby F, Sifeddine W, Bouali-Benazzouz R, Brochoire L, Manouze H, Fossat P, Ba M’Hamed S, Bennis M, Landry M (2022): Pain hypersensitivity in a pharmacological mouse model of attention-deficit/hyperactivity disorder. Proc Natl Acad Sci U S A. 2022 Jul 26;119(30):e2114094119. doi: 10.1073/pnas.2114094119. PMID: 35858441; PMCID: PMC9335339. ↥
Meseguer-Beltrán M, Sánchez-Sarasúa S, Landry M, Kerekes N, Sánchez-Pérez AM (2023): Targeting Neuroinflammation with Abscisic Acid Reduces Pain Sensitivity in Females and Hyperactivity in Males of an ADHD Mice Model. Cells. 2023 Jan 31;12(3):465. doi: 10.3390/cells12030465. PMID: 36766806; PMCID: PMC9914171. ↥
Amikam U, Badeghiesh A, Baghlaf H, Brown R, Dahan MH (2025): Comparing Obstetrical Outcomes Between Attention Deficit Hyperactivity Disorder and Attention Deficit Disorder: A Population-Based Studys. J Clin Med. 2025 Jun 11;14(12):4142. doi: 10.3390/jcm14124142. PMID: 40565886; PMCID: PMC12194033. n = 10.031 ↥
Hahn, Heinzel, Dresler, Plichta, Renner, Markulin, Jakob, Lesch, Fallgatter (2011): Association between reward-related activation in the ventral striatum and trait reward sensitivity is moderated by dopamine transporter genotype. Hum Brain Mapp. Oct;32(10):1557-65. doi: 10.1002/hbm.21127., zitiert nach Chiossi (2013): Neuronale Grundlagen der Persönlichkeit nach Gray: Ein Vergleich von Ego-Shooter-Spielern und -Nicht-Spielern, Dissertation, Seite 23 ↥
Hahn, Dresler, Plichta, Ehlis, Ernst, Markulin, Polak, Blaimer, Deckert, Lesch, Jakob, Fallgatter (2010): Functional Amygdala-Hippocampus Connectivity During Anticipation of Aversive Events is Associated with Gray’s Trait “Sensitivity to Punishment”; DOI: http://dx.doi.org/10.1016/j.biopsych.2010.04.033, zitiert nach Chiossi (2013): Neuronale Grundlagen der Persönlichkeit nach Gray: Ein Vergleich von Ego-Shooter-Spielern und -Nicht-Spielern, Dissertation, Seite 24 ↥