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Neural mechanisms underlying successful and deficient multi-component behavior in early adolescent ADHD

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...

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Autores principales: Bluschke, Annet, Gohil, Krutika, Petzold, Maxi, Roessner, Veit, Beste, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5857919/
https://www.ncbi.nlm.nih.gov/pubmed/29560310
http://dx.doi.org/10.1016/j.nicl.2018.02.024
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author Bluschke, Annet
Gohil, Krutika
Petzold, Maxi
Roessner, Veit
Beste, Christian
author_facet Bluschke, Annet
Gohil, Krutika
Petzold, Maxi
Roessner, Veit
Beste, Christian
author_sort Bluschke, Annet
collection PubMed
description 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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spelling pubmed-58579192018-03-20 Neural mechanisms underlying successful and deficient multi-component behavior in early adolescent ADHD Bluschke, Annet Gohil, Krutika Petzold, Maxi Roessner, Veit Beste, Christian Neuroimage Clin Regular Article 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. Elsevier 2018-02-27 /pmc/articles/PMC5857919/ /pubmed/29560310 http://dx.doi.org/10.1016/j.nicl.2018.02.024 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Bluschke, Annet
Gohil, Krutika
Petzold, Maxi
Roessner, Veit
Beste, Christian
Neural mechanisms underlying successful and deficient multi-component behavior in early adolescent ADHD
title Neural mechanisms underlying successful and deficient multi-component behavior in early adolescent ADHD
title_full Neural mechanisms underlying successful and deficient multi-component behavior in early adolescent ADHD
title_fullStr Neural mechanisms underlying successful and deficient multi-component behavior in early adolescent ADHD
title_full_unstemmed Neural mechanisms underlying successful and deficient multi-component behavior in early adolescent ADHD
title_short Neural mechanisms underlying successful and deficient multi-component behavior in early adolescent ADHD
title_sort neural mechanisms underlying successful and deficient multi-component behavior in early adolescent adhd
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5857919/
https://www.ncbi.nlm.nih.gov/pubmed/29560310
http://dx.doi.org/10.1016/j.nicl.2018.02.024
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