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dc.contributor.authorCohen, Jessica R.en_US
dc.contributor.authorGallen, Courtney L.en_US
dc.contributor.authorJacobs, Emily G.en_US
dc.contributor.authorLee, Taraz G.en_US
dc.contributor.authorD'Esposito, Marken_US
dc.date.accessioned2014-10-01T14:28:41Z
dc.date.issued2014en_US
dc.identifier.citationCohen, Jessica R., Courtney L. Gallen, Emily G. Jacobs, Taraz G. Lee, and Mark D'Esposito. 2014. “Quantifying the Reconfiguration of Intrinsic Networks during Working Memory.” PLoS ONE 9 (9): e106636. doi:10.1371/journal.pone.0106636. http://dx.doi.org/10.1371/journal.pone.0106636.en
dc.identifier.issn1932-6203en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:12987305
dc.description.abstractRapid, flexible reconfiguration of connections across brain regions is thought to underlie successful cognitive control. Two intrinsic networks in particular, the cingulo-opercular (CO) and fronto-parietal (FP), are thought to underlie two operations critical for cognitive control: task-set maintenance/tonic alertness and adaptive, trial-by-trial updating. Using functional magnetic resonance imaging, we directly tested whether the functional connectivity of the CO and FP networks was related to cognitive demands and behavior. We focused on working memory because of evidence that during working memory tasks the entire brain becomes more integrated. When specifically probing the CO and FP cognitive control networks, we found that individual regions of both intrinsic networks were active during working memory and, as expected, integration across the two networks increased during task blocks that required cognitive control. Crucially, increased integration between each of the cognitive control networks and a task-related, non-cognitive control network (the hand somatosensory-motor network; SM) was related to increased accuracy. This implies that dynamic reconfiguration of the CO and FP networks so as to increase their inter-network communication underlies successful working memory.en
dc.language.isoen_USen
dc.publisherPublic Library of Scienceen
dc.relation.isversionofdoi:10.1371/journal.pone.0106636en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156328/pdf/en
dash.licenseLAAen_US
dc.subjectBiology and Life Sciencesen
dc.subjectNeuroscienceen
dc.subjectBrain Mappingen
dc.subjectFunctional Magnetic Resonance Imagingen
dc.subjectCognitive Neuroscienceen
dc.subjectWorking Memoryen
dc.subjectNeuroimagingen
dc.subjectMathematical and Statistical Techniquesen
dc.subjectFunctional Analysisen
dc.titleQuantifying the Reconfiguration of Intrinsic Networks during Working Memoryen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalPLoS ONEen
dash.depositing.authorJacobs, Emily G.en_US
dc.date.available2014-10-01T14:28:41Z
dc.identifier.doi10.1371/journal.pone.0106636*
dash.contributor.affiliatedJacobs, Emily G.


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