Spiral wave dynamics in a neuronal network model

Fuente: arXiv
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Auteurs principaux: Souza, Diogo L. M., Borges, Fernando S., Gabrick, Enrique C., Bentivoglio, Lucas E., Protachevicz, Paulo R., Santos, Vagner dos, Viana, Ricardo L., Caldas, Ibere L., Iarosz, Kelly C., Batista, Antonio M., Kurths, Jürgen
Format: Preprint
Publié: 2024
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author Souza, Diogo L. M.
Borges, Fernando S.
Gabrick, Enrique C.
Bentivoglio, Lucas E.
Protachevicz, Paulo R.
Santos, Vagner dos
Viana, Ricardo L.
Caldas, Ibere L.
Iarosz, Kelly C.
Batista, Antonio M.
Kurths, Jürgen
author_facet Souza, Diogo L. M.
Borges, Fernando S.
Gabrick, Enrique C.
Bentivoglio, Lucas E.
Protachevicz, Paulo R.
Santos, Vagner dos
Viana, Ricardo L.
Caldas, Ibere L.
Iarosz, Kelly C.
Batista, Antonio M.
Kurths, Jürgen
contents Spiral waves are spatial-temporal patterns that can emerge in different systems as heart tissues, chemical oscillators, ecological networks and the brain. These waves have been identified in the neocortex of turtles, rats, and humans, particularly during sleep-like states. Although their functions in cognitive activities remain until now poorly understood, these patterns are related to cortical activity modulation and contribute to cortical processing. In this work, we construct a neuronal network layer based on the spatial distribution of pyramidal neurons. Our main goal is to investigate how local connectivity and coupling strength are associated with the emergence of spiral waves. Therefore, we propose a trustworthy method capable of detecting different wave patterns, based on local and global phase order parameters. As a result, we find that the range of connection radius (R) plays a crucial role in the appearance of spiral waves. For R < 20 μm, only asynchronous activity is observed due to small number of connections. The coupling strength (gsyn ) greatly influences the pattern transitions for higher R, where spikes and bursts firing patterns can be observed in spiral and non-spiral waves. Finally, we show that for some values of R and gsyn bistable states of wave patterns are obtained.
format Preprint
id arxiv_https___arxiv_org_abs_2403_00022
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Spiral wave dynamics in a neuronal network model
Souza, Diogo L. M.
Borges, Fernando S.
Gabrick, Enrique C.
Bentivoglio, Lucas E.
Protachevicz, Paulo R.
Santos, Vagner dos
Viana, Ricardo L.
Caldas, Ibere L.
Iarosz, Kelly C.
Batista, Antonio M.
Kurths, Jürgen
Biological Physics
Medical Physics
Neurons and Cognition
Spiral waves are spatial-temporal patterns that can emerge in different systems as heart tissues, chemical oscillators, ecological networks and the brain. These waves have been identified in the neocortex of turtles, rats, and humans, particularly during sleep-like states. Although their functions in cognitive activities remain until now poorly understood, these patterns are related to cortical activity modulation and contribute to cortical processing. In this work, we construct a neuronal network layer based on the spatial distribution of pyramidal neurons. Our main goal is to investigate how local connectivity and coupling strength are associated with the emergence of spiral waves. Therefore, we propose a trustworthy method capable of detecting different wave patterns, based on local and global phase order parameters. As a result, we find that the range of connection radius (R) plays a crucial role in the appearance of spiral waves. For R < 20 μm, only asynchronous activity is observed due to small number of connections. The coupling strength (gsyn ) greatly influences the pattern transitions for higher R, where spikes and bursts firing patterns can be observed in spiral and non-spiral waves. Finally, we show that for some values of R and gsyn bistable states of wave patterns are obtained.
title Spiral wave dynamics in a neuronal network model
topic Biological Physics
Medical Physics
Neurons and Cognition
url https://arxiv.org/abs/2403.00022