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Mid-Task Break Improves Global Integration of Functional Connectivity in Lower Alpha Band

Numerous efforts have been devoted to revealing neurophysiological mechanisms of mental fatigue, aiming to find an effective way to reduce the undesirable fatigue-related outcomes. Until recently, mental fatigue is thought to be related to functional dysconnectivity among brain regions. However, the...

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Autores principales: Li, Junhua, Lim, Julian, Chen, Yu, Wong, Kianfoong, Thakor, Nitish, Bezerianos, Anastasios, Sun, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4911415/
https://www.ncbi.nlm.nih.gov/pubmed/27378894
http://dx.doi.org/10.3389/fnhum.2016.00304
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author Li, Junhua
Lim, Julian
Chen, Yu
Wong, Kianfoong
Thakor, Nitish
Bezerianos, Anastasios
Sun, Yu
author_facet Li, Junhua
Lim, Julian
Chen, Yu
Wong, Kianfoong
Thakor, Nitish
Bezerianos, Anastasios
Sun, Yu
author_sort Li, Junhua
collection PubMed
description Numerous efforts have been devoted to revealing neurophysiological mechanisms of mental fatigue, aiming to find an effective way to reduce the undesirable fatigue-related outcomes. Until recently, mental fatigue is thought to be related to functional dysconnectivity among brain regions. However, the topological representation of brain functional connectivity altered by mental fatigue is only beginning to be revealed. In the current study, we applied a graph theoretical approach to analyse such topological alterations in the lower alpha band (8~10 Hz) of EEG data from 20 subjects undergoing a two-session experiment, in which one session includes four successive blocks with visual oddball tasks (session 1) whereas a mid-task break was introduced in the middle of four task blocks in the other session (session 2). Phase lag index (PLI) was then employed to measure functional connectivity strengths for all pairs of EEG channels. Behavior and connectivity maps were compared between the first and last task blocks in both sessions. Inverse efficiency scores (IES = reaction time/response accuracy) were significantly increased in the last task block, showing a clear effect of time-on-task in participants. Furthermore, a significant block-by-session interaction was revealed in the IES, suggesting the effectiveness of the mid-task break on maintaining task performance. More importantly, a significant session-independent deficit of global integration and an increase of local segregation were found in the last task block across both sessions, providing further support for the presence of a reshaped topology in functional brain connectivity networks under fatigue state. Moreover, a significant block-by-session interaction was revealed in the characteristic path length, small-worldness, and global efficiency, attributing to the significantly disrupted network topology in session 1 in comparison of the maintained network structure in session 2. Specifically, we found increased nodal betweenness centrality in several channels resided in frontal regions in session 1, resembling the observations of more segregated global architecture under fatigue state. Taken together, our findings provide insights into the substrates of brain functional dysconnectivity patterns for mental fatigue and reiterate the effectiveness of the mid-task break on maintaining brain network efficiency.
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spelling pubmed-49114152016-07-04 Mid-Task Break Improves Global Integration of Functional Connectivity in Lower Alpha Band Li, Junhua Lim, Julian Chen, Yu Wong, Kianfoong Thakor, Nitish Bezerianos, Anastasios Sun, Yu Front Hum Neurosci Neuroscience Numerous efforts have been devoted to revealing neurophysiological mechanisms of mental fatigue, aiming to find an effective way to reduce the undesirable fatigue-related outcomes. Until recently, mental fatigue is thought to be related to functional dysconnectivity among brain regions. However, the topological representation of brain functional connectivity altered by mental fatigue is only beginning to be revealed. In the current study, we applied a graph theoretical approach to analyse such topological alterations in the lower alpha band (8~10 Hz) of EEG data from 20 subjects undergoing a two-session experiment, in which one session includes four successive blocks with visual oddball tasks (session 1) whereas a mid-task break was introduced in the middle of four task blocks in the other session (session 2). Phase lag index (PLI) was then employed to measure functional connectivity strengths for all pairs of EEG channels. Behavior and connectivity maps were compared between the first and last task blocks in both sessions. Inverse efficiency scores (IES = reaction time/response accuracy) were significantly increased in the last task block, showing a clear effect of time-on-task in participants. Furthermore, a significant block-by-session interaction was revealed in the IES, suggesting the effectiveness of the mid-task break on maintaining task performance. More importantly, a significant session-independent deficit of global integration and an increase of local segregation were found in the last task block across both sessions, providing further support for the presence of a reshaped topology in functional brain connectivity networks under fatigue state. Moreover, a significant block-by-session interaction was revealed in the characteristic path length, small-worldness, and global efficiency, attributing to the significantly disrupted network topology in session 1 in comparison of the maintained network structure in session 2. Specifically, we found increased nodal betweenness centrality in several channels resided in frontal regions in session 1, resembling the observations of more segregated global architecture under fatigue state. Taken together, our findings provide insights into the substrates of brain functional dysconnectivity patterns for mental fatigue and reiterate the effectiveness of the mid-task break on maintaining brain network efficiency. Frontiers Media S.A. 2016-06-17 /pmc/articles/PMC4911415/ /pubmed/27378894 http://dx.doi.org/10.3389/fnhum.2016.00304 Text en Copyright © 2016 Li, Lim, Chen, Wong, Thakor, Bezerianos and Sun. 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) or licensor 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
Li, Junhua
Lim, Julian
Chen, Yu
Wong, Kianfoong
Thakor, Nitish
Bezerianos, Anastasios
Sun, Yu
Mid-Task Break Improves Global Integration of Functional Connectivity in Lower Alpha Band
title Mid-Task Break Improves Global Integration of Functional Connectivity in Lower Alpha Band
title_full Mid-Task Break Improves Global Integration of Functional Connectivity in Lower Alpha Band
title_fullStr Mid-Task Break Improves Global Integration of Functional Connectivity in Lower Alpha Band
title_full_unstemmed Mid-Task Break Improves Global Integration of Functional Connectivity in Lower Alpha Band
title_short Mid-Task Break Improves Global Integration of Functional Connectivity in Lower Alpha Band
title_sort mid-task break improves global integration of functional connectivity in lower alpha band
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4911415/
https://www.ncbi.nlm.nih.gov/pubmed/27378894
http://dx.doi.org/10.3389/fnhum.2016.00304
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