Synchrony in directed connectomes

Crofts, JJ ORCID: https://orcid.org/0000-0001-7751-9984, Chuzhanova, N ORCID: https://orcid.org/0000-0002-4655-3618, Padmore, A and Nelson, MR ORCID: https://orcid.org/0000-0001-5320-2464, 2022. Synchrony in directed connectomes. EPL, 139 (4): 42004. ISSN 0295-5075

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Abstract

Synchronisation plays a fundamental role in a variety of physiological functions, such as visual perception, cognitive function, sleep and arousal. The precise role of the interplay between local dynamics and directed cortical topology on the propensity for cortical structures to synchronise, however, remains poorly understood. Here, we study the impact that directed network topology has on the synchronisation properties of the brain by considering a range of species and parcellations, including the cortex of the cat and the Macaque monkey, as well as the nervous system of the C. elegans round worm. We deploy a Kuramoto phase model to simulate neural dynamics on the aforementioned connectomes, and investigate the extent to which network directionality influences distributed patterns of neural synchrony. In particular, we find that network directionality induces both slower synchronisation speeds and more robust phase locking in the presence of network delays. Moreover, in contrast to large-scale connectomes, we find that recently observed relations between resting state directionality patterns and network structure appear to break down for invertebrate networks such as the C. elegans connectome, thus suggesting that observed variations in directed network topology at different scales can significantly impact patterns of neural synchrony. Our results suggest that directionality plays a key role in shaping network dynamics and moreover that its exclusion risks simplifying neural activation dynamics in a potentially significant way.

Item Type:	Journal article
Publication Title:	EPL
Creators:	Crofts, J.J., Chuzhanova, N., Padmore, A. and Nelson, M.R.
Publisher:	IOP Publishing
Date:	August 2022
Volume:	139
Number:	4
ISSN:	0295-5075
Identifiers:	Number Type 10.1209/0295-5075/ac8176 DOI 1596164 Other
Rights:	Copyright © 2022 The author(s). Published by the EPLA under the terms of the Creative Commons Attribution 4.0 International License (CC-BY). Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	15 Sep 2022 08:09
Last Modified:	15 Sep 2022 08:09
URI:	https://irep.ntu.ac.uk/id/eprint/47031

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