Transcranial direct current stimulation changes resting state functional connectivity: A large-scale brain network modeling study
Identifieur interne : 000063 ( Main/Exploration ); précédent : 000062; suivant : 000064Transcranial direct current stimulation changes resting state functional connectivity: A large-scale brain network modeling study
Auteurs : Tim Kunze ; Alexander Hunold ; Jens Haueisen [Allemagne] ; Viktor Jirsa [France] ; Andreas Spiegler [France]Source :
- NeuroImage [ 1053-8119 ] ; 2016-10.
Abstract
Transcranial direct current stimulation (tDCS) is a noninvasive technique for affecting brain dynamics with promising application in the clinical therapy of neurological and psychiatric disorders such as Parkinson's disease, Alzheimer's disease, depression, and schizophrenia. Resting state dynamics increasingly play a role in the assessment of connectivity-based pathologies such as Alzheimer's and schizophrenia. We systematically applied tDCS in a large-scale network model of 74 cerebral areas, investigating the spatiotemporal changes in dynamic states as a function of structural connectivity changes. Structural connectivity was defined by the human connectome. The main findings of this study are fourfold: Firstly, we found a tDCS-induced increase in functional connectivity among cerebral areas and among EEG sensors, where the latter reproduced empirical findings of other researchers. Secondly, the analysis of the network dynamics suggested synchronization to be the main mechanism of the observed effects. Thirdly, we found that tDCS sharpens and shifts the frequency distribution of scalp EEG sensors slightly towards higher frequencies. Fourthly, new dynamic states emerged through interacting areas in the network compared to the dynamics of an isolated area. The findings propose synchronization as a key mechanism underlying the changes in the spatiotemporal pattern formation due to tDCS. Our work supports the notion that noninvasive brain stimulation is able to bias brain dynamics by affecting the competitive interplay of functional subnetworks. (C) 2016 The Authors. Published by Elsevier Inc.
Url:
DOI: 10.1016/j.neuroimage.2016.02.015
Affiliations:
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APHM]</orgName> <orgName type="acronym">TIMONE</orgName> <date type="start">1974</date> <desc> <address> <country key="FR"></country> </address> <ref type="url">http://fr.ap-hm.fr/nos-hopitaux/hopital-de-la-timone</ref> </desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Marseille</settlement><region type="region" nuts="2">Provence-Alpes-Côte d'Azur</region></placeName><orgName type="university">Université d'Aix-Marseille</orgName></affiliation></author></analytic><idno type="DOI">10.1016/j.neuroimage.2016.02.015</idno><series><title level="j">NeuroImage</title><idno type="ISSN">1053-8119</idno><imprint><date type="datePub">2016-10</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Transcranial direct current stimulation (tDCS) is a noninvasive technique for affecting brain dynamics with promising application in the clinical therapy of neurological and psychiatric disorders such as Parkinson's disease, Alzheimer's disease, depression, and schizophrenia. Resting state dynamics increasingly play a role in the assessment of connectivity-based pathologies such as Alzheimer's and schizophrenia. We systematically applied tDCS in a large-scale network model of 74 cerebral areas, investigating the spatiotemporal changes in dynamic states as a function of structural connectivity changes. Structural connectivity was defined by the human connectome. The main findings of this study are fourfold: Firstly, we found a tDCS-induced increase in functional connectivity among cerebral areas and among EEG sensors, where the latter reproduced empirical findings of other researchers. Secondly, the analysis of the network dynamics suggested synchronization to be the main mechanism of the observed effects. Thirdly, we found that tDCS sharpens and shifts the frequency distribution of scalp EEG sensors slightly towards higher frequencies. Fourthly, new dynamic states emerged through interacting areas in the network compared to the dynamics of an isolated area. The findings propose synchronization as a key mechanism underlying the changes in the spatiotemporal pattern formation due to tDCS. Our work supports the notion that noninvasive brain stimulation is able to bias brain dynamics by affecting the competitive interplay of functional subnetworks. (C) 2016 The Authors. Published by Elsevier Inc.</div></front></TEI><affiliations><list><country><li>Allemagne</li><li>France</li></country><region><li>Provence-Alpes-Côte d'Azur</li></region><settlement><li>Marseille</li></settlement><orgName><li>Université d'Aix-Marseille</li></orgName></list><tree><noCountry><name sortKey="Hunold, Alexander" sort="Hunold, Alexander" uniqKey="Hunold A" first="Alexander" last="Hunold">Alexander Hunold</name><name sortKey="Kunze, Tim" sort="Kunze, Tim" uniqKey="Kunze T" first="Tim" last="Kunze">Tim Kunze</name></noCountry><country name="Allemagne"><noRegion><name sortKey="Haueisen, Jens" sort="Haueisen, Jens" uniqKey="Haueisen J" first="Jens" last="Haueisen">Jens Haueisen</name></noRegion></country><country name="France"><region name="Provence-Alpes-Côte d'Azur"><name sortKey="Jirsa, Viktor" sort="Jirsa, Viktor" uniqKey="Jirsa V" first="Viktor" last="Jirsa">Viktor Jirsa</name></region><name sortKey="Spiegler, Andreas" sort="Spiegler, Andreas" uniqKey="Spiegler A" first="Andreas" last="Spiegler">Andreas Spiegler</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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