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
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

133-142

Informations de copyright

Copyright © 2022 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Auteurs

Fabio Masina (F)

IRCCS San Camillo Hospital, Venice, Italy. Electronic address: fabio.masina@hsancamillo.it.

Sonia Montemurro (S)

IRCCS San Camillo Hospital, Venice, Italy. Electronic address: sonia.montemurro@hsancamillo.it.

Marco Marino (M)

IRCCS San Camillo Hospital, Venice, Italy; Department of Movement Sciences, Research Center for Motor Control and Neuroplasticity, KU Leuven, Belgium. Electronic address: marco.marino@kuleuven.be.

Nicoletta Manzo (N)

IRCCS San Camillo Hospital, Venice, Italy; Department of Human Neurosciences, Sapienza, University of Rome, Rome, Italy. Electronic address: nicoletta.manzo@hsancamillo.it.

Giovanni Pellegrino (G)

IRCCS San Camillo Hospital, Venice, Italy. Electronic address: giovanni.pellegrino@hsancamillo.it.

Giorgio Arcara (G)

IRCCS San Camillo Hospital, Venice, Italy. Electronic address: giorgio.arcara@hsancamillo.it.

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Classifications MeSH