January 12, 2022
Noting that to date, no study investigated potential behavioral and neural markers in adults with subthreshold ADHD as compared to adults with full syndrome ADHD and healthy controls, the German team of researchers at the University of Tübingen out to do just that, recruiting volunteers through flyers and advertisements.
Their ADHD sample consisted of 113 adults between 18 and 60 years of age (mean age 38) who fulfilled the DSM-IV-TR criteria of ADHD and were either not on medication or a steady dose of medication over the prior two months.
Another 46 participants (also mean age 38), whose symptoms did not reach the DSM-IV-TR criteria, were assigned to the group with subthreshold ADHD.
The control sample was comprised of 42 healthy participants (mean age 37).
Individuals with schizophrenia, bipolar disorder, borderline personality disorder, epilepsy, or traumatic brain injury were excluded from the sample, as were those with current substance abuse or dependence.
All participants were German-speaking Caucasians. There were no significant differences in gender, age, education, or verbal/nonverbal intelligence among the three groups.
Participants first completed an online pre-screening, which was followed up with an interview to confirm the ADHD diagnosis.
ADHD impairs executive functions, "defined as the 'top-down' cognitive abilities for maintaining problem-solving skills to achieve future goals." The researchers explored three categories of executive functioning: 1) capacity for inhibition, "the ability to inhibit dominant, automatic, or prepotent responses when necessary- 2) ability to shift, enabling smooth switching between tasks or mental sets; and 3) ability to update, "updating and monitoring of working memory representations." Participants took a battery of neuropsychological tests to assess performance in each category.
Significant differences emerged between the group with ADHD and healthy controls in all measures except one: the STROOP Reading test. But there were no significant differences between participants suffering from subthreshold and full-syndrome ADHD. Nor were there any significant differences between those with subthreshold ADHD and healthy controls.
The researchers also recorded electroencephalograms(EEGs) for each participant. In healthy individuals, there is little to no association between resting-state EEG spectral power measures and executive functions. In individuals with ADHD, some studies have indicated increased theta-to-beta ratios, while others have found no significant differences. This study found no significant differences between the three groups.
The authors concluded, "The main results of the study can be summarized as follows: First, increased executive function deficits (in updating, inhibition, and shifting functions) could be observed in the full syndrome ADHD as compared to the healthy control group while, on the electrophysiological level, no differences in the theta to the beta ratio between these groups were found. Second, we observed only slightly impaired neuropsychological functions and no abnormal electrophysiological activity in the subthreshold ADHD sample. Taken together, our data suggest some practical uses of the assessment of objective cognitive markers but no additional value of examining electrophysiological characteristics in the diagnosis of subthreshold and full syndrome ADHD in adulthood."
They added, "These findings deeply question the value of including resting EEG markers into the diagnostic procedure and also have implications for standard neurofeedback protocols frequently used in the treatment of ADHD, where patients are trained to reduce their theta power while simultaneously increasing beta activity."
Alexander Schneider, Nina Maria Höhnle, Michael Schönenberg, "Cognitive and electrophysiological markers of the adult full syndrome and subthreshold attention-deficit/hyperactivity disorder," Journal of Psychiatric Research(2020)127,80-86,https://doi.org/10.1016/j.jpsychires.2020.05.004.
There has been consistent evidence of an association between ADHD and subjectively reported sleep problems even in patients not medicated for the disorder. There have also been studies using wrist-worn actigraphy (a wrist watch-like device that measures gross motor activity) and sleep lab-based polysomnography that measure objective sleep parameters.
What has been missing are large population-based cohort studies to explore the prevalence rates of different sleep disorders and medical prescriptions in ADHD.
Methods Used:
Sweden has a single-payer health insurance system and a series of national population registers that track virtually its entire population. Using the Swedish Total Population Register, a local research team created a cohort of all 6,470,658 persons born between 1945 and 2008. They linked this to the Swedish National Patient Register, which includes inpatient hospitalizations from 1975 to 2013, and outpatient specialist diagnoses from 2001 to 2013, to identify diagnoses of sleep disorders. They also linked to the Prescribed Drug Register, covering 2005 to 2013, to identify prescriptions for sleep medications.
Summary of Findings:
Overall, persons with ADHD were eight times more likely to be diagnosed with any sleep disorder relative to normally developing peers. Broken down by age, adolescents with ADHD were 16 times more likely to receive such diagnoses, young adults (18-30) twelve times more likely, children and mid-age adults (31-45) eight times more likely, and older adults six times more likely.
Broken down by specific sleep disorder diagnoses, relative to normally developing peers, persons with ADHD were:
As for sleep medication, relative to normally developing peers, persons with ADHD were:
Conclusion:
The team concluded, “Our findings also suggest that greater clinical attention should be directed towards addressing sleep problems in individuals with ADHD. This entails implementing proactive measures through sleep education programmes and providing both pharmacological and non-pharmacological approaches such as cognitive behavioural therapy and parental sleep training.”
Attention is a critical determinant of academic achievement, influencing domains such as language, literacy, and mathematics. To explore whether physical activity can improve attention in children with ADHD, an international team conducted a meta-analysis of peer-reviewed studies. The goal was to evaluate the impact of various physical activity regimens on attention-related outcomes in this population.
The researchers performed a comprehensive search of the medical literature to identify studies examining the effects of physical activity on attention in schoolchildren with ADHD. They included 10 studies with a total of 474 participants in their meta-analysis. The studies evaluated two main types of physical activity:
Additionally, they examined variations based on the frequency, duration, and type of control groups used in the studies. To assess consistency, they also analyzed heterogeneity (variability of outcomes) and checked for potential publication bias.
Key findings from the meta-analysis include:
The authors concluded that mentally engaging exercise is more effective than aerobic exercise in improving attention problems in schoolchildren with ADHD. Furthermore, higher frequency and longer duration of physical activity do not necessarily yield better outcomes.
This research underscores the importance of tailoring physical activity interventions to emphasize cognitive engagement over intensity or duration. By refining strategies, educators and parents can better support children with ADHD in achieving academic success. But take note: given the results from controlled studies, it seems clear that if there is a positive effect of exercise, it is very small so should not replace standard treatments for ADHD.
.png)
Previous studies have examined how stimulant medications affect the brain in controlled settings, but less is known about their impact in real-world conditions, where children may not always take their medication consistently or may combine it with other treatments. A new study leverages data from the Adolescent Brain Cognitive Development (ABCD) study to explore how real-world stimulant use impacts brain connectivity and ADHD symptoms over two years.
Changes in Brain Connectivity Researchers used brain imaging data from the ABCD study to examine the functional connectivity—communication between brain areas—of six regions within the striatum, a brain area involved in motivation and movement control. They focused on how stimulant use influenced connectivity between the striatum and other networks involved in executive functioning and visual-motor control.
The study found that stimulant exposure was linked to reduced connectivity between key striatal areas (such as the caudate and putamen) and large brain networks, including the frontoparietal and visual networks. These changes were more pronounced in children taking stimulants compared to those who were not medicated, as well as compared to typically developing children. Importantly, this reduction in connectivity seemed to regulate certain brain networks that are typically altered in children with ADHD.
Symptom Improvement In addition to brain changes, 14% of children taking stimulants experienced a significant reduction in ADHD symptoms over the two-year period. These children showed the strongest connectivity reductions between the right putamen and the visual network, suggesting that stimulant-induced connectivity changes may contribute to improvements in visual attentional control, which is a common challenge for children with ADHD.
Why This Matters This study is one of the first to examine how stimulant use in real-world conditions affects brain networks in children with ADHD over time. The findings suggest that stimulants may help normalize certain connectivity patterns associated with ADHD, particularly in networks related to attention and control. These insights could help clinicians better understand the potential long-term effects of stimulant treatment and guide personalized approaches to ADHD management.
Conclusion Stimulant medications appear to alter striatal-cortical connectivity in children with ADHD, with some changes linked to symptom improvement. This research highlights the potential for stimulant medications to impact brain networks in ways that support attention and control, highlighting the importance of understanding how real-world medication use influences ADHD treatment outcomes.
_logo%201.svg)
