Dysregulation profile (DP) as a transdiagnostic psychopathological factor in clinically referred children – comparisons between disorders and latent structure

Background: Dysregulation Profile (DP) describes the psychopathological construct of concurrent impairments in the ability to regulate emotion, behaviour, and cognition measured by the Child Behaviour Checklist (CBCL). Such transdiagnostic dimensions of psychopathology play an important role in addition to core symptoms of psychiatric diagnosis in clinical practice. Evaluation of DP in children with different mental disorders may improve our understanding and treatment of both contents. / Methods: 911 clinically referred children between 6 and 18years were investigated. The sample consisted of five ‘pure’ disorders groups, that is, tic disorder (TIC), anxiety disorder, obsessive compulsive disorder, depression, Attention Deficit Hyperactivity Disorder (ADHD), and two comorbid disorder group, that is, ADHD + TIC and ADHD + oppositional defiant disorder (ODD). DP level and latent structure were compared across groups. / Results: The rate of severe/abnormal dysregulation rates varied from 15% to 44% when the 210 cut-off was used, and 5% to 18% when stringent cut-off was used (i.e. ≥70 on all DP-subscales). The most affected population were children with comorbid ADHD with ODD/TIC, while least were those with TIC only. Five different latent phenotypes of DP were found. / Conclusion: DP above clinical cut-off level widely exists in clinically referred children in parallel to core symptoms of their diagnosis, especially among children with comorbidities. During clinical assessment it would be worth to clarify the role of DP-related problems within the general psychosocial impairment of the patient to improve a personalized approach

EEG Data Quality: Determinants and Impact in a Multicenter Study of Children, Adolescents, and Adults with Attention-Deficit/Hyperactivity Disorder (ADHD)

Electroencephalography (EEG) represents a widely established method for assessing altered and typically developing brain function. However, systematic studies on EEG data quality, its correlates, and consequences are scarce. To address this research gap, the current study focused on the percentage of artifact-free segments after standard EEG pre-processing as a data quality index. We analyzed participant-related and methodological influences, and validity by replicating landmark EEG effects. Further, effects of data quality on spectral power analyses beyond participant-related characteristics were explored. EEG data from a multicenter ADHD-cohort (age range 6 to 45 years), and a non-ADHD school-age control group were analyzed (ntotal = 305). Resting-state data during eyes open, and eyes closed conditions, and task-related data during a cued Continuous Performance Task (CPT) were collected. After pre-processing, general linear models, and stepwise regression models were fitted to the data. We found that EEG data quality was strongly related to demographic characteristics, but not to methodological factors. We were able to replicate maturational, task, and ADHD effects reported in the EEG literature, establishing a link with EEG-landmark effects. Furthermore, we showed that poor data quality significantly increases spectral power beyond effects of maturation and symptom severity. Taken together, the current results indicate that with a careful design and systematic quality control, informative large-scale multicenter trials characterizing neurophysiological mechanisms in neurodevelopmental disorders across the lifespan are feasible. Nevertheless, results are restricted to the limitations reported. Future work will clarify predictive value

Pathophysiology of ADHD and associated problems – starting points for Neurofeedback interventions?

Attention deficit hyperactivity disorder (ADHD) is characterized by severe and age-inappropriate levels of hyperactivity, impulsivity and inattention. ADHD is a heterogeneous disorder, and the majority of patients show comorbid or associated problems from other psychiatric disorders. Also, ADHD is associated with cognitive and motivational problems as well as resting-state abnormalities, associated with impaired brain activity in distinct neuronal networks. This needs to be considered in a multimodal treatment, of which neurofeedback may be a promising component. During neurofeedback, specific brain activity is fed-back using visual or auditory signals, allowing the participants to gain control over these otherwise unaware neuronal processes. Neurofeedback may be used to directly improve underlying neuronal deficits, and/or to establish more general self-regulatory skills that may be used to compensate behavioural difficulties.The current manuscript describes pathophysiological characteristics of ADHD, heterogeneity of ADHD subtypes and gender differences, as well as frequently associated behavioural problems such as oppositional defiant/conduct or tic disorder. It is discussed how neurofeedback may be helpful as a treatment approach within these contexts

Effectiveness and safety of dexamphetamine sulfate (Attentin®) in the routine treatment of children and adolescents with ADHD: results from a 12-month non-interventional study

Randomized controlled trials have shown that dexamphetamine sulfate (DEX) is efficacious in the treatment of attention-deficit/hyperactivity disorder (ADHD) in children and adolescents; however, data on the effectiveness and safety of DEX in routine practice are scarce