Literature DB >> 23523810

EEG alpha activity is associated with individual differences in post-break improvement.

Julian Lim1, Frances-Catherine Quevenco, Kenneth Kwok.   

Abstract

Continuous EEG activity has been used increasingly as a marker of mental and cognitive states, with previous work linking particular neural patterns to conditions of arousal or fatigue. This approach is more commonly used to assess task-related, as opposed to resting-state activity. In this study, we recorded the EEG of 31 healthy individuals as they performed two sessions of a 65-minute auditory oddball task, one with, and one without a 5-minute break opportunity. Over the course of the task, reaction times, as well as EEG power in theta and lower alpha bands increased in both conditions, but did not differ significantly between conditions. Over the period of the break, delta and theta EEG activity decreased significantly in comparison with activity in the equivalent period in the no-break condition. Individual differences in response to the break were observed, with approximately half the subjects showing an improvement, and half showing a decline. These individual differences were correlated both with decreases in theta activity, as well as resting upper alpha power during the period of the break. Our results suggest that tonic EEG activity during resting periods is meaningfully related to behavioral change between individuals based on physiological or psychological factors that remain to be explored.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23523810     DOI: 10.1016/j.neuroimage.2013.03.018

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  13 in total

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2.  Passive perceptual learning versus active searching in a novel stimuli vigilance task.

Authors:  James Head; William S Helton
Journal:  Exp Brain Res       Date:  2015-02-19       Impact factor: 1.972

3.  Cross-Species Investigation on Resting State Electroencephalogram.

Authors:  Fengrui Zhang; Feixue Wang; Lupeng Yue; Huijuan Zhang; Weiwei Peng; Li Hu
Journal:  Brain Topogr       Date:  2019-07-04       Impact factor: 3.020

4.  Design and Implementation of an EEG-Based Learning-Style Recognition Mechanism.

Authors:  Bingxue Zhang; Chengliang Chai; Zhong Yin; Yang Shi
Journal:  Brain Sci       Date:  2021-05-11

5.  Fronto-Parietal Subnetworks Flexibility Compensates For Cognitive Decline Due To Mental Fatigue.

Authors:  Fumihiko Taya; Stavros I Dimitriadis; Andrei Dragomir; Julian Lim; Yu Sun; Kian Foong Wong; Nitish V Thakor; Anastasios Bezerianos
Journal:  Hum Brain Mapp       Date:  2018-04-24       Impact factor: 5.038

6.  Differential effects of wakeful rest, music and video game playing on working memory performance in the n-back task.

Authors:  Maxim S Kuschpel; Shuyan Liu; Daniel J Schad; Stephan Heinzel; Andreas Heinz; Michael A Rapp
Journal:  Front Psychol       Date:  2015-10-30

7.  Spatially distributed effects of mental exhaustion on resting-state FMRI networks.

Authors:  Fabrizio Esposito; Tobias Otto; Fred R H Zijlstra; Rainer Goebel
Journal:  PLoS One       Date:  2014-04-04       Impact factor: 3.240

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

Authors:  Junhua Li; Julian Lim; Yu Chen; Kianfoong Wong; Nitish Thakor; Anastasios Bezerianos; Yu Sun
Journal:  Front Hum Neurosci       Date:  2016-06-17       Impact factor: 3.169

9.  The Effects of 10 Hz Transcranial Alternating Current Stimulation on Audiovisual Task Switching.

Authors:  Michael S Clayton; Nick Yeung; Roi Cohen Kadosh
Journal:  Front Neurosci       Date:  2018-02-13       Impact factor: 4.677

10.  The impact of mental fatigue on brain activity: a comparative study both in resting state and task state using EEG.

Authors:  Gang Li; Shan Huang; Wanxiu Xu; Weidong Jiao; Yonghua Jiang; Zhao Gao; Jianhua Zhang
Journal:  BMC Neurosci       Date:  2020-05-12       Impact factor: 3.288

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