Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus
AbstractNeural computation is associated with the emergence, reconfiguration, and dissolution of cell assemblies in the context of varying oscillatory states. Here, we describe the complex spatiotemporal dynamics of cell assemblies through temporal network formalism. We use a sliding window approach...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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The MIT Press
2020-09-01
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| Series: | Network Neuroscience |
| Online Access: | https://direct.mit.edu/netn/article/4/3/946/95848/Dynamic-core-periphery-structure-of-information |
| _version_ | 1818299269118951424 |
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| author | Nicola Pedreschi Christophe Bernard Wesley Clawson Pascale Quilichini Alain Barrat Demian Battaglia |
| author_facet | Nicola Pedreschi Christophe Bernard Wesley Clawson Pascale Quilichini Alain Barrat Demian Battaglia |
| author_sort | Nicola Pedreschi |
| collection | DOAJ |
| description | AbstractNeural computation is associated with the emergence, reconfiguration, and dissolution of cell assemblies in the context of varying oscillatory states. Here, we describe the complex spatiotemporal dynamics of cell assemblies through temporal network formalism. We use a sliding window approach to extract sequences of networks of information sharing among single units in hippocampus and entorhinal cortex during anesthesia and study how global and node-wise functional connectivity properties evolve through time and as a function of changing global brain state (theta vs. slow-wave oscillations). First, we find that information sharing networks display, at any time, a core-periphery structure in which an integrated core of more tightly functionally interconnected units links to more loosely connected network leaves. However the units participating to the core or to the periphery substantially change across time windows, with units entering and leaving the core in a smooth way. Second, we find that discrete network states can be defined on top of this continuously ongoing liquid core-periphery reorganization. Switching between network states results in a more abrupt modification of the units belonging to the core and is only loosely linked to transitions between global oscillatory states. Third, we characterize different styles of temporal connectivity that cells can exhibit within each state of the sharing network. While inhibitory cells tend to be central, we show that, otherwise, anatomical localization only poorly influences the patterns of temporal connectivity of the different cells. Furthermore, cells can change temporal connectivity style when the network changes state. Altogether, these findings reveal that the sharing of information mediated by the intrinsic dynamics of hippocampal and entorhinal cortex cell assemblies have a rich spatiotemporal structure, which could not have been identified by more conventional time- or state-averaged analyses of functional connectivity. |
| first_indexed | 2024-12-13T04:48:32Z |
| format | Article |
| id | doaj.art-d11ae2fed0ef49e78921a95e5130d7b7 |
| institution | Directory Open Access Journal |
| issn | 2472-1751 |
| language | English |
| last_indexed | 2024-12-13T04:48:32Z |
| publishDate | 2020-09-01 |
| publisher | The MIT Press |
| record_format | Article |
| series | Network Neuroscience |
| spelling | doaj.art-d11ae2fed0ef49e78921a95e5130d7b72022-12-21T23:59:05ZengThe MIT PressNetwork Neuroscience2472-17512020-09-014394697510.1162/netn_a_00142Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampusNicola Pedreschi0Christophe Bernard1Wesley Clawson2Pascale Quilichini3Alain Barrat4Demian Battaglia5Aix-Marseille University, Université de Toulon, CNRS, CPT, Turing Center for Living Systems, Marseille, FranceAix-Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, FranceAix-Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, FranceAix-Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, FranceAix-Marseille University, Université de Toulon, CNRS, CPT, Turing Center for Living Systems, Marseille, FranceAix-Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, FranceAbstractNeural computation is associated with the emergence, reconfiguration, and dissolution of cell assemblies in the context of varying oscillatory states. Here, we describe the complex spatiotemporal dynamics of cell assemblies through temporal network formalism. We use a sliding window approach to extract sequences of networks of information sharing among single units in hippocampus and entorhinal cortex during anesthesia and study how global and node-wise functional connectivity properties evolve through time and as a function of changing global brain state (theta vs. slow-wave oscillations). First, we find that information sharing networks display, at any time, a core-periphery structure in which an integrated core of more tightly functionally interconnected units links to more loosely connected network leaves. However the units participating to the core or to the periphery substantially change across time windows, with units entering and leaving the core in a smooth way. Second, we find that discrete network states can be defined on top of this continuously ongoing liquid core-periphery reorganization. Switching between network states results in a more abrupt modification of the units belonging to the core and is only loosely linked to transitions between global oscillatory states. Third, we characterize different styles of temporal connectivity that cells can exhibit within each state of the sharing network. While inhibitory cells tend to be central, we show that, otherwise, anatomical localization only poorly influences the patterns of temporal connectivity of the different cells. Furthermore, cells can change temporal connectivity style when the network changes state. Altogether, these findings reveal that the sharing of information mediated by the intrinsic dynamics of hippocampal and entorhinal cortex cell assemblies have a rich spatiotemporal structure, which could not have been identified by more conventional time- or state-averaged analyses of functional connectivity.https://direct.mit.edu/netn/article/4/3/946/95848/Dynamic-core-periphery-structure-of-information |
| spellingShingle | Nicola Pedreschi Christophe Bernard Wesley Clawson Pascale Quilichini Alain Barrat Demian Battaglia Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus Network Neuroscience |
| title | Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus |
| title_full | Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus |
| title_fullStr | Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus |
| title_full_unstemmed | Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus |
| title_short | Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus |
| title_sort | dynamic core periphery structure of information sharing networks in entorhinal cortex and hippocampus |
| url | https://direct.mit.edu/netn/article/4/3/946/95848/Dynamic-core-periphery-structure-of-information |
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