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Spatial organisation of the mesoscale connectome: A feature influencing synchrony and metastability of network dynamics

Mackay, Michael; Huo, Siyu; Kaiser, Marcus

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Authors

Michael Mackay

Siyu Huo

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MARCUS KAISER MARCUS.KAISER@NOTTINGHAM.AC.UK
Professor of Neuroinformatics



Contributors

Boris S. Gutkin
Editor

Abstract

Significant research has investigated synchronisation in brain networks, but the bulk of this work has explored the contribution of brain networks at the macroscale. Here we explore the effects of changing network topology on functional dynamics in spatially constrained random networks representing mesoscale neocortex. We use the Kuramoto model to simulate network dynamics and explore synchronisation and critical dynamics of the system as a function of topology in randomly generated networks with a distance-related wiring probability and no preferential attachment term. We show networks which predominantly make short-distance connections smooth out the critical coupling point and show much greater metastability, resulting in a wider range of coupling strengths demonstrating critical dynamics and metastability. We show the emergence of cluster synchronisation in these geometrically-constrained networks with functional organisation occurring along structural connections that minimise the participation coefficient of the cluster. We show that these cohorts of internally synchronised nodes also behave en masse as weakly coupled nodes and show intra-cluster desynchronisation and resynchronisation events related to inter-cluster interaction. While cluster synchronisation appears crucial to healthy brain function, it may also be pathological if it leads to unbreakable local synchronisation which may happen at extreme topologies, with implications for epilepsy research, wider brain function and other domains such as social networks.

Journal Article Type Article
Acceptance Date Jul 12, 2023
Online Publication Date Aug 8, 2023
Publication Date Aug 8, 2023
Deposit Date Aug 12, 2023
Publicly Available Date Aug 16, 2023
Print ISSN 1553-734X
Electronic ISSN 1553-7358
Publisher Public Library of Science (PLoS)
Peer Reviewed Peer Reviewed
Volume 19
Issue 8
Article Number e1011349
DOI https://doi.org/10.1371/journal.pcbi.1011349
Keywords Metastasis; Neural networks; Behavior; Brain diseases; Social networks; Epilepsy; Neocortex; Scale-free networks
Public URL https://nottingham-repository.worktribe.com/output/24148479
Publisher URL https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011349

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