ArticleNeuroImage. Clinical2018
Neural mechanisms underlying successful and deficient multi-component behavior in early adolescent ADHD.
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The Therapeutic Effect of Methylphenidate Hydrochloride in Conjunction with Sensory Integration Training in Children with Attention Deficit Hyperactivity Disorder.Psychiatry and clinical psychopharmacology · 2026Article
- XDL-ESI: Electrophysiological Sources Imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG.NeuroImage · 2024Article
- EEG Techniques with Brain Activity Localization, Specifically LORETA, and Its Applicability in Monitoring Schizophrenia.Journal of clinical medicine · 2024Review
- A novel approach to intra-individual performance variability in ADHD.European child & adolescent psychiatry · 2021Article
- Intact Stimulus-Response Conflict Processing in ADHD-Multilevel Evidence and Theoretical Implications.Journal of clinical medicine · 2020Article
- Immediate early gene fingerprints of multi-component behaviour.Scientific reports · 2020Article
- Deep Learning Based on Event-Related EEG Differentiates Children with ADHD from Healthy Controls.Journal of clinical medicine · 2019Article
- Evidence for an altered architecture and a hierarchical modulation of inhibitory control processes in ADHD.Developmental cognitive neuroscience · 2019Article
- Compensation of Trial-to-Trial Latency Jitter Reveals the Parietal Retrieval Success Effect to be Both Variable and Thresholded in Older Adults.Frontiers in aging neuroscience · 2019Article
- A comparative study on the neurophysiological mechanisms underlying effects of methylphenidate and neurofeedback on inhibitory control in attention deficit hyperactivity disorder.NeuroImage. Clinical · 2018Article
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5 authors.
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Abstract
Attention Deficit Hyperactivity Disorder (ADHD) is a disorder affecting cognitive control. These functions are important to achieve goals when different actions need to be executed in close succession. This type of multi-component behavior, which often further requires the processing of information from different modalities, is important for everyday activities. Yet, possible changes in neurophysiological mechanisms have not been investigated in adolescent ADHD. We examined N = 31 adolescent ADHD patients and N = 35 healthy controls (HC) in two Stop-Change experiments using either uni-modal or bi-modal stimuli to trigger stop and change processes. These stimuli were either presented together (SCD0) or in close succession of 300 milliseconds (SCD300). Using event-related potentials (ERP), EEG data decomposition and source localization we analyzed neural processes and functional neuroanatomical correlates of multicomponent behavior. Compared to HCs, ADHD patients had longer reaction times and higher error rates when Stop and Change stimuli were presented in close succession (SCD300), but not when presented together (SCD0). This effect was evident in the uni-modal and bi-modal experiment and is reflected by neurophysiological processes reflecting response selection mechanisms in the inferior parietal cortex (BA40). These processes were only detectable after accounting for intra-individual variability in neurophysiological data; i.e. there were no effects in standard ERPs. Multi-component behavior is not always deficient in ADHD. Rather, modulations in multi-component behavior depend on a critical temporal integration window during response selection which is associated with functioning of the inferior parietal cortex. This window is smaller than in HCs and independent of the complexity of sensory input.
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