State-dependent tDCS modulation of the somatomotor network: A MEG study.
Generalized Additive Mixed Model
Intra-network Connectivity
Somatomotor Network
Spectral activity
State-dependency
tDCS
Journal
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
ISSN: 1872-8952
Titre abrégé: Clin Neurophysiol
Pays: Netherlands
ID NLM: 100883319
Informations de publication
Date de publication:
10 2022
10 2022
Historique:
received:
21
04
2022
revised:
13
07
2022
accepted:
30
07
2022
pubmed:
30
8
2022
medline:
28
9
2022
entrez:
29
8
2022
Statut:
ppublish
Résumé
Transcranial direct current stimulation (tDCS) is a non-invasive technique widely used to investigate brain excitability and activity. However, the variability in both brain and behavioral responses to tDCS limits its application for clinical purposes. This study aims to shed light on state-dependency, a phenomenon that contributes to the variability of tDCS. To this aim, we investigated changes in spectral activity and functional connectivity in somatomotor regions after Real and Sham tDCS using generalized additive mixed models (GAMMs), which allowed us to investigate how modulation depends on the initial state of the brain. Results showed that changes in spectral activity, but not connectivity, in the somatomotor regions depend on the initial state of the brain, confirming state-dependent effects. Specifically, we found a non-linear interaction between stimulation conditions (Real vs Sham) and initial state: a reduction of alpha and beta power was observed only in participants that had higher alpha and beta power before Real tDCS. This study highlights the importance of considering state-dependency to tDCS and shows how it can be taken into account with appropriate statistical models. Our findings bear insight into tDCS mechanisms, potentially leading to discriminate between tDCS responders and non-responders.
Identifiants
pubmed: 36037749
pii: S1388-2457(22)00848-3
doi: 10.1016/j.clinph.2022.07.508
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
133-142Informations de copyright
Copyright © 2022 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.