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The Dynamic Properties of a Brain Network During Spatial Working Memory Tasks in College Students With ADHD Traits

This study investigated deficits of spatial working memory in college students with attention-deficit/hyperactivity disorder (ADHD) traits using event-related potentials (ERPs) and the spatial 2-back task. We also computed sensory-level activity using EEG data and investigated theta and alpha neural...

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Autores principales: Jang, Kyoung-Mi, Kim, Myung-Sun, Kim, Do-Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505193/
https://www.ncbi.nlm.nih.gov/pubmed/33132887
http://dx.doi.org/10.3389/fnhum.2020.580813
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author Jang, Kyoung-Mi
Kim, Myung-Sun
Kim, Do-Won
author_facet Jang, Kyoung-Mi
Kim, Myung-Sun
Kim, Do-Won
author_sort Jang, Kyoung-Mi
collection PubMed
description This study investigated deficits of spatial working memory in college students with attention-deficit/hyperactivity disorder (ADHD) traits using event-related potentials (ERPs) and the spatial 2-back task. We also computed sensory-level activity using EEG data and investigated theta and alpha neural oscillations, phase-locking values (PLV), and brain networks. Based on the scores from the Adult ADHD Self-Report Scale (ASRS) and Conners’ Adult ADHD Rating Scales (CAARS), an ADHD-trait group (n = 40) and a normal control group (n = 41) were selected. Participants were required to respond to whether the presented stimulus was at the same location as that presented two trials earlier. The ADHD-trait group showed significantly slower response times than the control group in the spatial 2-back task. In terms of spectrum, the ADHD-trait group showed significantly reduced theta power than the control group. In contrast, the ADHD-trait group exhibited an increased alpha power compared to the control group with the 250–1000 ms interval after stimulus onset. In terms of the PLV, the ADHD-trait group showed significantly weaker theta phase synchrony and fewer connection numbers in frontal-occipital areas than the control group. In terms of the theta brain network, the ADHD-trait group showed a significantly lower clustering coefficient and longer characteristic path length than the control group for the theta band. The present results indicate that college students with ADHD traits have deficits in spatial working memory and that these abnormal activities in neural oscillation, functional connectivity, and the network may contribute to spatial working memory deficits.
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spelling pubmed-75051932020-10-30 The Dynamic Properties of a Brain Network During Spatial Working Memory Tasks in College Students With ADHD Traits Jang, Kyoung-Mi Kim, Myung-Sun Kim, Do-Won Front Hum Neurosci Neuroscience This study investigated deficits of spatial working memory in college students with attention-deficit/hyperactivity disorder (ADHD) traits using event-related potentials (ERPs) and the spatial 2-back task. We also computed sensory-level activity using EEG data and investigated theta and alpha neural oscillations, phase-locking values (PLV), and brain networks. Based on the scores from the Adult ADHD Self-Report Scale (ASRS) and Conners’ Adult ADHD Rating Scales (CAARS), an ADHD-trait group (n = 40) and a normal control group (n = 41) were selected. Participants were required to respond to whether the presented stimulus was at the same location as that presented two trials earlier. The ADHD-trait group showed significantly slower response times than the control group in the spatial 2-back task. In terms of spectrum, the ADHD-trait group showed significantly reduced theta power than the control group. In contrast, the ADHD-trait group exhibited an increased alpha power compared to the control group with the 250–1000 ms interval after stimulus onset. In terms of the PLV, the ADHD-trait group showed significantly weaker theta phase synchrony and fewer connection numbers in frontal-occipital areas than the control group. In terms of the theta brain network, the ADHD-trait group showed a significantly lower clustering coefficient and longer characteristic path length than the control group for the theta band. The present results indicate that college students with ADHD traits have deficits in spatial working memory and that these abnormal activities in neural oscillation, functional connectivity, and the network may contribute to spatial working memory deficits. Frontiers Media S.A. 2020-09-07 /pmc/articles/PMC7505193/ /pubmed/33132887 http://dx.doi.org/10.3389/fnhum.2020.580813 Text en Copyright © 2020 Jang, Kim and Kim. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Jang, Kyoung-Mi
Kim, Myung-Sun
Kim, Do-Won
The Dynamic Properties of a Brain Network During Spatial Working Memory Tasks in College Students With ADHD Traits
title The Dynamic Properties of a Brain Network During Spatial Working Memory Tasks in College Students With ADHD Traits
title_full The Dynamic Properties of a Brain Network During Spatial Working Memory Tasks in College Students With ADHD Traits
title_fullStr The Dynamic Properties of a Brain Network During Spatial Working Memory Tasks in College Students With ADHD Traits
title_full_unstemmed The Dynamic Properties of a Brain Network During Spatial Working Memory Tasks in College Students With ADHD Traits
title_short The Dynamic Properties of a Brain Network During Spatial Working Memory Tasks in College Students With ADHD Traits
title_sort dynamic properties of a brain network during spatial working memory tasks in college students with adhd traits
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505193/
https://www.ncbi.nlm.nih.gov/pubmed/33132887
http://dx.doi.org/10.3389/fnhum.2020.580813
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