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    Flexible network community organization during the encoding and retrieval of spatiotemporal episodic memories

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    Author
    Schedlbauer, Amber M
    Ekstrom, Arne D
    Affiliation
    Univ Arizona, Dept Psychol
    Issue Date
    2019-09-23
    Keywords
    Community detection
    Episodic memory
    Functional connectivity
    Graph theory
    Networks
    
    Metadata
    Show full item record
    Publisher
    MIT PRESS
    Citation
    Schedlbauer, 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.
    Journal
    NETWORK NEUROSCIENCE
    Rights
    Copyright © 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.
    Collection Information
    This 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.
    Abstract
    Memory 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.
    Note
    Open access journal
    ISSN
    2472-1751
    PubMed ID
    31637339
    DOI
    10.1162/netn_a_00102
    Version
    Final published version
    Sponsors
    National Institutes of HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [NS087527, NS076856]
    ae974a485f413a2113503eed53cd6c53
    10.1162/netn_a_00102
    Scopus Count
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    UA Faculty Publications

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