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Slow Cortical Waves via Cyclicity

Ivan Abraham, Somayeh Shahsavarani, Benjamin Zimmerman, Fatima Husain, Yuliy Baryshnikov
doi: https://doi.org/10.1101/2021.05.16.444387
Ivan Abraham
1Department of Electrical & Computer Engineering, University of Illinois at Urbana-Champaign
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Somayeh Shahsavarani
2Zuckerman Mind Brain Behavior Institute, Columbia University, New York
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Benjamin Zimmerman
3Beckman Institute, University of Illinois at Urbana-Champaign
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Fatima Husain
3Beckman Institute, University of Illinois at Urbana-Champaign
4Department of Speech & Hearing Science, University of Illinois at Urbana-Champaign
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Yuliy Baryshnikov
1Department of Electrical & Computer Engineering, University of Illinois at Urbana-Champaign
5Department of Mathematics, University of Illinois at Urbana-Champaign
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  • For correspondence: ymb@illinois.edu
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Abstract

Fine-grained information about dynamic structure of cortical networks is crucial in unpacking brain function. Here, we introduced a novel analytical method to characterize the dynamic interaction between distant brain regions, based on cyclicity analysis, and applied it to data from the Human Connectome Project. Resting-state fMRI time series are aperiodic and, hence, lack a base frequency. Cyclicity analysis, which is time-reparametrization invariant, is effective in recovering dynamic temporal ordering of such time series along a circular trajectory without assuming any time scale. Our analysis detected the propagation of slow cortical waves across the brain with consistent shifts in lead-lag relationships between specific brain regions. We also observed short bursts of strong temporal ordering that dominated overall lead-lag relationships between pairs of regions in the brain, which were modulated by tasks. Our results suggest the possible role played by slow waves of ordered information between brain regions that underlie emergent cognitive function.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted May 17, 2021.
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Slow Cortical Waves via Cyclicity
Ivan Abraham, Somayeh Shahsavarani, Benjamin Zimmerman, Fatima Husain, Yuliy Baryshnikov
bioRxiv 2021.05.16.444387; doi: https://doi.org/10.1101/2021.05.16.444387
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Slow Cortical Waves via Cyclicity
Ivan Abraham, Somayeh Shahsavarani, Benjamin Zimmerman, Fatima Husain, Yuliy Baryshnikov
bioRxiv 2021.05.16.444387; doi: https://doi.org/10.1101/2021.05.16.444387

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