Combining muscle-computer interface guided training with bihemispheric tDCS improves upper limb function in chronic stroke patients.

Electromyography Stroke Wrist extension tDCS

Journal

Journal of neurophysiology
ISSN: 1522-1598
Titre abrégé: J Neurophysiol
Pays: United States
ID NLM: 0375404

Informations de publication

Date de publication:
08 May 2024
Historique:
medline: 8 5 2024
pubmed: 8 5 2024
entrez: 8 5 2024
Statut: aheadofprint

Résumé

Transcranial direct current stimulation (tDCS) may facilitate neuroplasticity but with a limited effect when administered while stroke patients are at rest. Muscle-computer interface (MCI) training is a promising approach for training stroke patients even if they cannot produce overt movements. However, using tDCS to enhance MCI training has not been investigated. We combined bihemispheric tDCS with MCI training of the paretic wrist and examined the effect of this intervention in chronic stroke patients. A crossover, double-blind, randomized trial was conducted. Twenty-six chronic stroke patients performed MCI wrist training for three consecutive days at home while receiving either real tDCS or sham tDCS in counterbalanced order and separated by at least 8 months. The primary outcome measure was the Fugl-Meyer Assessment Upper Extremity Scale (FMA-UE) which was measured one week before training, on the first training day, on the last training day, and one week after training. There was no significant difference in the baseline FMA-UE score between groups nor between intervention periods. Patients improved 3.9 ± 0.6 points in FMA-UE score when receiving real tDCS, and 1.0 ± 0.7 points when receiving sham tDCS (

Identifiants

pubmed: 38716555
doi: 10.1152/jn.00316.2023
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Vlaamse Overheid (Government of Flanders)
ID : G.0758.10
Organisme : National Research Foundation Singapore (NRF)

Auteurs

Xue Zhang (X)

HEST, ETH Zurich, Zurich, Switzerland.

Raf Meesen (R)

Hasselt University, Diepenbeek, Belgium.

Stephan P Swinnen (SP)

KU Leuven, Leuven, Belgium.

Hilde Feys (H)

KU Leuven, Leuven, Belgium.

Daniel G Woolley (DG)

ETH Zurich, Zurich, Switzerland.

Hsiao-Ju Cheng (HJ)

Singapore-ETH, Singapore, Singapore.

Nicole Wenderoth (N)

ETH Zurich, Zurich, Switzerland.

Classifications MeSH