Spontaneous persistent activity and inactivity in vivo reveals differential cortico-entorhinal functional connectivity
Understanding the functional connectivity between brain regions and its emergent dynamics is a central challenge. Here we present a theory-experiment hybrid approach involving iteration between a minimal computational model and in vivo electrophysiological measurements. Our model not only predicted...
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| Main Authors: | , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
08 May 2024
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| In: |
Nature Communications
Year: 2024, Volume: 15, Pages: 1-15 |
| ISSN: | 2041-1723 |
| DOI: | 10.1038/s41467-024-47617-6 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41467-024-47617-6 Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41467-024-47617-6 
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| Author Notes: | Krishna Choudhary, Sven Berberich, Thomas T.G. Hahn, James M. McFarland & Mayank R. Mehta |
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| 245 | 1 | 0 | |a Spontaneous persistent activity and inactivity in vivo reveals differential cortico-entorhinal functional connectivity |c Krishna Choudhary, Sven Berberich, Thomas T.G. Hahn, James M. McFarland & Mayank R. Mehta |
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| 520 | |a Understanding the functional connectivity between brain regions and its emergent dynamics is a central challenge. Here we present a theory-experiment hybrid approach involving iteration between a minimal computational model and in vivo electrophysiological measurements. Our model not only predicted spontaneous persistent activity (SPA) during Up-Down-State oscillations, but also inactivity (SPI), which has never been reported. These were confirmed in vivo in the membrane potential of neurons, especially from layer 3 of the medial and lateral entorhinal cortices. The data was then used to constrain two free parameters, yielding a unique, experimentally determined model for each neuron. Analytic and computational analysis of the model generated a dozen quantitative predictions about network dynamics, which were all confirmed in vivo to high accuracy. Our technique predicted functional connectivity; e. g. the recurrent excitation is stronger in the medial than lateral entorhinal cortex. This too was confirmed with connectomics data. This technique uncovers how differential cortico-entorhinal dialogue generates SPA and SPI, which could form an energetically efficient working-memory substrate and influence the consolidation of memories during sleep. More broadly, our procedure can reveal the functional connectivity of large networks and a theory of their emergent dynamics. | ||
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