Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.neuroimage.2013.03.018
Title: EEG alpha activity is associated with individual differences in post-break improvement
Authors: Lim, J.
Quevenco, F.-C.
Kwok, K. 
Keywords: Alpha power
EEG
Rest break
Sustained attention
Time-on-task
Issue Date: 1-Aug-2013
Citation: Lim, J., Quevenco, F.-C., Kwok, K. (2013-08-01). EEG alpha activity is associated with individual differences in post-break improvement. NeuroImage 76 : 81-89. ScholarBank@NUS Repository. https://doi.org/10.1016/j.neuroimage.2013.03.018
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. © 2013 Elsevier Inc.
Source Title: NeuroImage
URI: http://scholarbank.nus.edu.sg/handle/10635/116310
ISSN: 10538119
DOI: 10.1016/j.neuroimage.2013.03.018
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