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Functions of the human frontoparietal attention network: Evidence from neuroimaging

Author(s): Scolari, Miranda; Seidl-Rathkopf, Katharina N.; Kastner, Sabine

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dc.contributor.authorScolari, Miranda-
dc.contributor.authorSeidl-Rathkopf, Katharina N.-
dc.contributor.authorKastner, Sabine-
dc.date.accessioned2019-10-28T15:55:27Z-
dc.date.available2019-10-28T15:55:27Z-
dc.date.issued2015-02en_US
dc.identifier.citationScolari, Miranda, Seidl-Rathkopf, Katharina N, Kastner, Sabine. (2015). Functions of the human frontoparietal attention network: Evidence from neuroimaging. Current Opinion in Behavioral Sciences, 1 (32 - 39. doi:10.1016/j.cobeha.2014.08.003en_US
dc.identifier.issn2352-1546-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1xx75-
dc.description.abstractHuman frontoparietal cortex has long been implicated as a source of attentional control. However, the mechanistic underpinnings of these control functions have remained elusive due to limitations of neuroimaging techniques that rely on anatomical landmarks to localize patterns of activation. The recent advent of topographic mapping via functional magnetic resonance imaging (fMRI) has allowed the reliable parcellation of the network into 18 independent subregions in individual subjects, thereby offering unprecedented opportunities to address a wide range of empirical questions as to how mechanisms of control operate. Here, we review the human neuroimaging literature that has begun to explore space-based, feature-based, object-based and category-based attentional control within the context of topographically defined frontoparietal cortex.en_US
dc.format.extent32 - 39en_US
dc.language.isoen_USen_US
dc.relation.ispartofCurrent Opinion in Behavioral Sciencesen_US
dc.rightsAuthor's manuscripten_US
dc.titleFunctions of the human frontoparietal attention network: Evidence from neuroimagingen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1016/j.cobeha.2014.08.003-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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