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Communicability Systematically Explains Transmission Speed In A Cortical Macro-Connectome

Masanori Shimono, Naomichi Hatano
doi: https://doi.org/10.1101/117713
Masanori Shimono
Osaka University / Riken BSI;
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  • For correspondence: nori417@gmail.com
Naomichi Hatano
The University of Tokyo
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Abstract

Global dynamics in the brain can be captured using fMRI, MEG, or electrocorticography (ECoG), but models are often restricted by anatomical constraints. Complementary single/multi unit recordings have described local fast temporal dynamics. However, because of anatomical constraints, global fast temporal dynamics remain incompletely understood. Therefore, we compared temporal aspects of cross-area propagations of single-unit recordings and ECoG, and investigated their anatomical bases. First, we demonstrated how both evoked and spontaneous ECoGs can accurately predict latencies of single-unit recordings. Next, we estimated the propagation velocity (1.0-1.5 m/s) from brain-wide data and found that it was fairly stable among different conscious levels. We also found that the anatomical topology strongly predicted the latencies. Finally, Communicability, a novel graph-theoretic measure, could systematically capture the balance between shorter or longer pathways. These results demonstrate that macro-connectomic perspective is essential for evaluating detailed temporal dynamics in the brain.

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The copyright holder for this preprint is the author/funder. It is made available under a CC-BY-ND 4.0 International license.
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  • Posted March 17, 2017.

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Communicability Systematically Explains Transmission Speed In A Cortical Macro-Connectome
Masanori Shimono, Naomichi Hatano
bioRxiv 117713; doi: https://doi.org/10.1101/117713
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Communicability Systematically Explains Transmission Speed In A Cortical Macro-Connectome
Masanori Shimono, Naomichi Hatano
bioRxiv 117713; doi: https://doi.org/10.1101/117713

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