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Visual search performance is predicted by both prestimulus and poststimulus electrical brain activity

An individual’s performance on cognitive and perceptual tasks varies considerably across time and circumstances. We investigated neural mechanisms underlying such performance variability using regression-based analyses to examine trial-by-trial relationships between response times (RTs) and differen...

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Autores principales: van den Berg, Berry, Appelbaum, Lawrence G., Clark, Kait, Lorist, Monicque M., Woldorff, Marty G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5128787/
https://www.ncbi.nlm.nih.gov/pubmed/27901053
http://dx.doi.org/10.1038/srep37718
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author van den Berg, Berry
Appelbaum, Lawrence G.
Clark, Kait
Lorist, Monicque M.
Woldorff, Marty G.
author_facet van den Berg, Berry
Appelbaum, Lawrence G.
Clark, Kait
Lorist, Monicque M.
Woldorff, Marty G.
author_sort van den Berg, Berry
collection PubMed
description An individual’s performance on cognitive and perceptual tasks varies considerably across time and circumstances. We investigated neural mechanisms underlying such performance variability using regression-based analyses to examine trial-by-trial relationships between response times (RTs) and different facets of electrical brain activity. Thirteen participants trained five days on a color-popout visual-search task, with EEG recorded on days one and five. The task was to find a color-popout target ellipse in a briefly presented array of ellipses and discriminate its orientation. Later within a session, better preparatory attention (reflected by less prestimulus Alpha-band oscillatory activity) and better poststimulus early visual responses (reflected by larger sensory N1 waves) correlated with faster RTs. However, N1 amplitudes decreased by half throughout each session, suggesting adoption of a more efficient search strategy within a session. Additionally, fast RTs were preceded by earlier and larger lateralized N2pc waves, reflecting faster and stronger attentional orienting to the targets. Finally, SPCN waves associated with target-orientation discrimination were smaller for fast RTs in the first but not the fifth session, suggesting optimization with practice. Collectively, these results delineate variations in visual search processes that change over an experimental session, while also pointing to cortical mechanisms underlying performance in visual search.
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spelling pubmed-51287872016-12-09 Visual search performance is predicted by both prestimulus and poststimulus electrical brain activity van den Berg, Berry Appelbaum, Lawrence G. Clark, Kait Lorist, Monicque M. Woldorff, Marty G. Sci Rep Article An individual’s performance on cognitive and perceptual tasks varies considerably across time and circumstances. We investigated neural mechanisms underlying such performance variability using regression-based analyses to examine trial-by-trial relationships between response times (RTs) and different facets of electrical brain activity. Thirteen participants trained five days on a color-popout visual-search task, with EEG recorded on days one and five. The task was to find a color-popout target ellipse in a briefly presented array of ellipses and discriminate its orientation. Later within a session, better preparatory attention (reflected by less prestimulus Alpha-band oscillatory activity) and better poststimulus early visual responses (reflected by larger sensory N1 waves) correlated with faster RTs. However, N1 amplitudes decreased by half throughout each session, suggesting adoption of a more efficient search strategy within a session. Additionally, fast RTs were preceded by earlier and larger lateralized N2pc waves, reflecting faster and stronger attentional orienting to the targets. Finally, SPCN waves associated with target-orientation discrimination were smaller for fast RTs in the first but not the fifth session, suggesting optimization with practice. Collectively, these results delineate variations in visual search processes that change over an experimental session, while also pointing to cortical mechanisms underlying performance in visual search. Nature Publishing Group 2016-11-30 /pmc/articles/PMC5128787/ /pubmed/27901053 http://dx.doi.org/10.1038/srep37718 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
van den Berg, Berry
Appelbaum, Lawrence G.
Clark, Kait
Lorist, Monicque M.
Woldorff, Marty G.
Visual search performance is predicted by both prestimulus and poststimulus electrical brain activity
title Visual search performance is predicted by both prestimulus and poststimulus electrical brain activity
title_full Visual search performance is predicted by both prestimulus and poststimulus electrical brain activity
title_fullStr Visual search performance is predicted by both prestimulus and poststimulus electrical brain activity
title_full_unstemmed Visual search performance is predicted by both prestimulus and poststimulus electrical brain activity
title_short Visual search performance is predicted by both prestimulus and poststimulus electrical brain activity
title_sort visual search performance is predicted by both prestimulus and poststimulus electrical brain activity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5128787/
https://www.ncbi.nlm.nih.gov/pubmed/27901053
http://dx.doi.org/10.1038/srep37718
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