Show simple item record

dc.contributor.author Appelbaum, Lawrence Gregory
dc.contributor.author Clark, K
dc.contributor.author Lorist, MM
dc.contributor.author van den Berg, Berry
dc.contributor.author Woldorff, Marty G
dc.coverage.spatial England
dc.date.accessioned 2017-01-31T18:07:13Z
dc.date.issued 2016-11-30
dc.identifier http://www.ncbi.nlm.nih.gov/pubmed/27901053
dc.identifier srep37718
dc.identifier.uri http://hdl.handle.net/10161/13522
dc.description.abstract 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.
dc.language eng
dc.relation.ispartof Sci Rep
dc.relation.isversionof 10.1038/srep37718
dc.title Visual search performance is predicted by both prestimulus and poststimulus electrical brain activity.
dc.type Journal article
pubs.author-url http://www.ncbi.nlm.nih.gov/pubmed/27901053
pubs.begin-page 37718
pubs.organisational-group Basic Science Departments
pubs.organisational-group Center for Cognitive Neuroscience
pubs.organisational-group Clinical Science Departments
pubs.organisational-group Duke
pubs.organisational-group Duke Institute for Brain Sciences
pubs.organisational-group Duke Science & Society
pubs.organisational-group Duke-UNC Center for Brain Imaging and Analysis
pubs.organisational-group Initiatives
pubs.organisational-group Institutes and Centers
pubs.organisational-group Institutes and Provost's Academic Units
pubs.organisational-group Neurobiology
pubs.organisational-group Psychiatry & Behavioral Sciences
pubs.organisational-group Psychiatry & Behavioral Sciences, Brain Stimulation and Neurophysiology
pubs.organisational-group Psychiatry & Behavioral Sciences, Translational Neuroscience
pubs.organisational-group Psychology and Neuroscience
pubs.organisational-group School of Medicine
pubs.organisational-group Trinity College of Arts & Sciences
pubs.organisational-group University Institutes and Centers
pubs.publication-status Published online
pubs.volume 6
dc.identifier.eissn 2045-2322


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record