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dc.contributor.authorDiez, Ibai
dc.contributor.authorSepulcre, Jorge
dc.date.accessioned2018-10-09T13:25:30Z
dc.date.available2018-10-09T13:25:30Z
dc.date.issued2018-12-01
dc.identifier.citationDiez, Ibai, and Jorge Sepulcre. “Neurogenetic Profiles Delineate Large-Scale Connectivity Dynamics of the Human Brain.” Nature Communications 9, no. 1 (September 24, 2018). doi:10.1038/s41467-018-06346-3.en
dc.identifier.issn2041-1723en
dc.identifier.urihttp://hdl.handle.net/11556/623
dc.description.abstractExperimental and modeling work of neural activity has described recurrent and attractor dynamic patterns in cerebral microcircuits. However, it is still poorly understood whether similar dynamic principles exist or can be generalizable to the large-scale level. Here, we applied dynamic graph theory-based analyses to evaluate the dynamic streams of whole-brain functional connectivity over time across cognitive states. Dynamic connectivity in local networks is located in attentional areas during tasks and primary sensory areas during rest states, and dynamic connectivity in distributed networks converges in the default mode network (DMN) in both task and rest states. Importantly, we find that distinctive dynamic connectivity patterns are spatially associated with Allen Human Brain Atlas genetic transcription levels of synaptic long-term potentiation and long-term depression-related genes. Our findings support the neurobiological basis of large-scale attractor-like dynamics in the heteromodal cortex within the DMN, irrespective of cognitive state.en
dc.description.sponsorshipThis work has been partially supported by the National Institutes of Health (NIH) grant K23EB019023 (to J.S.), Postdoctoral Fellowship Program from the Basque Country Government and Bizkaia Talent (to I.D.).en
dc.language.isoengen
dc.publisherNature Publishing Groupen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleNeurogenetic profiles delineate large-scale connectivity dynamics of the human brainen
dc.typearticleen
dc.identifier.doi10.1038/s41467-018-06346-3en
dc.rights.accessRightsopenAccessen
dc.subject.keywordsBrainen
dc.subject.keywordsCognitionen
dc.subject.keywordsConnectivityen
dc.subject.keywordsExperimental studyen
dc.subject.keywordsGeneen
dc.subject.keywordsGenetic analysisen
dc.subject.keywordsModelingen
dc.subject.keywordsSensory systemen
dc.issue.number1en
dc.journal.titleNature Communicationsen
dc.volume.number9en


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