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dc.contributor.authorSchedlbauer, Amber M
dc.contributor.authorEkstrom, Arne D
dc.date.accessioned2019-11-07T01:36:38Z
dc.date.available2019-11-07T01:36:38Z
dc.date.issued2019-09-23
dc.identifier.citationSchedlbauer, A. M., & Ekstrom, A. D. (2019). Flexible network community organization during the encoding and retrieval of spatiotemporal episodic memories. Network Neuroscience, 3(4), 1070-1093.en_US
dc.identifier.issn2472-1751
dc.identifier.pmid31637339
dc.identifier.doi10.1162/netn_a_00102
dc.identifier.urihttp://hdl.handle.net/10150/634974
dc.description.abstractMemory encoding and retrieval involve distinct interactions between multiple brain areas, yet the flexible structure of corresponding large-scale networks during such memory processing remains unclear. Using functional magnetic resonance imaging, we employed a spatiotemporal encoding and retrieval task, detecting functional community structure across the multiple components of our task. Consistent with past work, we identified a set of stable subnetworks, mostly belonging to primary motor and sensory cortices but also identified a subset of flexible hubs, mostly belonging to higher association areas. These “mover” hubs changed connectivity patterns across spatial and temporal memory encoding and retrieval, engaging in an integrative role within the network. Global encoding network and subnetwork dissimilarity predicted retrieval performance. Together, our findings emphasize the importance of flexible network allegiance among some hubs and the importance of network reconfiguration to human episodic memory.en_US
dc.description.sponsorshipNational Institutes of HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [NS087527, NS076856]en_US
dc.language.isoenen_US
dc.publisherMIT PRESSen_US
dc.rightsCopyright © 2019 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.en_US
dc.subjectCommunity detectionen_US
dc.subjectEpisodic memoryen_US
dc.subjectFunctional connectivityen_US
dc.subjectGraph theoryen_US
dc.subjectNetworksen_US
dc.titleFlexible network community organization during the encoding and retrieval of spatiotemporal episodic memoriesen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Dept Psycholen_US
dc.identifier.journalNETWORK NEUROSCIENCEen_US
dc.description.noteOpen access journalen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleNetwork neuroscience (Cambridge, Mass.)
refterms.dateFOA2019-11-07T01:36:40Z


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