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

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...

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Detalles Bibliográficos
Autores principales: Mackay, Michael, Huo, Siyu, Kaiser, Marcus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437862/
https://www.ncbi.nlm.nih.gov/pubmed/37552650
http://dx.doi.org/10.1371/journal.pcbi.1011349
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author Mackay, Michael
Huo, Siyu
Kaiser, Marcus
author_facet Mackay, Michael
Huo, Siyu
Kaiser, Marcus
author_sort Mackay, Michael
collection PubMed
description 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.
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spelling pubmed-104378622023-08-19 Spatial organisation of the mesoscale connectome: A feature influencing synchrony and metastability of network dynamics Mackay, Michael Huo, Siyu Kaiser, Marcus PLoS Comput Biol Research Article 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. Public Library of Science 2023-08-08 /pmc/articles/PMC10437862/ /pubmed/37552650 http://dx.doi.org/10.1371/journal.pcbi.1011349 Text en © 2023 Mackay et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mackay, Michael
Huo, Siyu
Kaiser, Marcus
Spatial organisation of the mesoscale connectome: A feature influencing synchrony and metastability of network dynamics
title Spatial organisation of the mesoscale connectome: A feature influencing synchrony and metastability of network dynamics
title_full Spatial organisation of the mesoscale connectome: A feature influencing synchrony and metastability of network dynamics
title_fullStr Spatial organisation of the mesoscale connectome: A feature influencing synchrony and metastability of network dynamics
title_full_unstemmed Spatial organisation of the mesoscale connectome: A feature influencing synchrony and metastability of network dynamics
title_short Spatial organisation of the mesoscale connectome: A feature influencing synchrony and metastability of network dynamics
title_sort spatial organisation of the mesoscale connectome: a feature influencing synchrony and metastability of network dynamics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437862/
https://www.ncbi.nlm.nih.gov/pubmed/37552650
http://dx.doi.org/10.1371/journal.pcbi.1011349
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