Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus

Entorhinal cortex Control reconfiguration Nerve net Network Dynamics
DOI: 10.1162/netn_a_00142 Publication Date: 2020-04-28T13:29:54Z
ABSTRACT
Neural computation is associated with the emergence, reconfiguration, and dissolution of cell assemblies in context varying oscillatory states. Here, we describe complex spatiotemporal dynamics through temporal network formalism. We use a sliding window approach to extract sequences networks information sharing among single units hippocampus entorhinal cortex during anesthesia study how global node-wise functional connectivity properties evolve time as function changing brain state (theta vs. slow-wave oscillations). First, find that display, at any time, core-periphery structure which an integrated core more tightly functionally interconnected links loosely connected leaves. However participating or periphery substantially change across windows, entering leaving smooth way. Second, discrete states can be defined on top this continuously ongoing liquid reorganization. Switching between results abrupt modification belonging only linked transitions Third, characterize different styles cells exhibit within each network. While inhibitory tend central, show that, otherwise, anatomical localization poorly influences patterns cells. Furthermore, style when changes state. Altogether, these findings reveal mediated by intrinsic hippocampal have rich structure, could not been identified conventional time- state-averaged analyses connectivity.
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