Synchronization in functional networks of the human brain
type: Item
instance of: scholarly article
title: Synchronization in functional networks of the human brain
zbMATH Open document ID: 1466.92008
author: Philipp Hövel
author: Aline Viol
author: Philipp Loske
author: Leon Merfort
author: Vesna Vuksanović
published in: Journal of Nonlinear Science
publication date: 2021-04-29T00:00:00Z
full work available at URL: https://hdl.handle.net/2164/13161
review text: Decoding the fundamental mechanisms underlying large-scale brain integration is one of the major challenges of neuroscience. In this article, the authors discuss the concept of brain networks, which can be studied using methods from graph theory. More precisely, a summary of a data-driven computational model of synchronization between distant cortical areas that share a large number of overlapping neighboring (anatomical) connections is presented. The coupled oscillatory systems are represented by the Kuramoto phase oscillators, thus modeling phase synchrony between regional activities. The authors investigate the role that synchrony and its variations play in brain activity based on simulated neural/blood-oxygen-level-dependent time series. The main goal is to reconstruct long-distance functional correlations that emerge from the main anatomical pathways. The studies summarized in this article contribute to a better understanding of the relationship between complex brain networks and temporal dynamics of brain activity. The article also raises other interesting issues that may be the subject of future research by specialists working in this field.
reviewed by: Nikolay Kyurkchiev
Mathematics Subject Classification ID: 92B25
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 34C15
zbMATH DE Number: 7341400
zbMATH Keywords: nonlinear dynamics
zbMATH Keywords: synchronization
zbMATH Keywords: brain connectivity
zbMATH Keywords: Kuramoto phase oscillator
zbMATH Keywords: neural activity
describes a project that uses: Brain Connectivity Toolbox
describes a project that uses: BrainNet Viewer
MaRDI profile type: Publication
OpenAlex ID: W2898545068
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DOI: 10.1007/S00332-018-9505-7
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description: scientific article; zbMATH DE number 7341400