Lookup NU author(s): Dr Frances Hutchings,
Professor Marcus Kaiser
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2020 Giannakakis et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Computational studies of the influence of different network parameters on the dynamic and topological network effects of brain stimulation can enhance our understanding of different outcomes between individuals. In this study, a brain stimulation session along with the subsequent post-stimulation brain activity is simulated for a period of one day using a network of modified Wilson-Cowan oscillators coupled according to diffusion imaging based structural connectivity. We use this computational model to examine how differences in the inter-region connectivity and the excitability of stimulated regions at the time of stimulation can affect post-stimulation behaviours. Our findings indicate that the initial inter-region connectivity can heavily affect the changes that stimulation induces in the connectivity of the network. Moreover, differences in the excitability of the stimulated regions seem to lead to different post-stimulation connectivity changes across the model network, including on the internal connectivity of non-stimulated regions.
Author(s): Giannakakis E, Hutchings F, Papasavvas CA, Han CE, Weber B, Zhang C, Kaiser M
Publication type: Article
Publication status: Published
Journal: PLoS ONE
Online publication date: 06/02/2020
Acceptance date: 18/01/2020
Date deposited: 17/02/2020
ISSN (electronic): 1932-6203
Publisher: Public Library of Science
PubMed id: 32027654
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