Sensorimotor Connectivity after Motor Exercise with Neurofeedback in Post-Stroke Patients with Hemiplegia.


Journal

Neuroscience
ISSN: 1873-7544
Titre abrégé: Neuroscience
Pays: United States
ID NLM: 7605074

Informations de publication

Date de publication:
15 09 2019
Historique:
received: 09 12 2018
revised: 21 07 2019
accepted: 23 07 2019
pubmed: 30 7 2019
medline: 25 9 2020
entrez: 30 7 2019
Statut: ppublish

Résumé

Impaired finger motor function in post-stroke hemiplegia is a debilitating condition with no evidence-based or accessible treatments. Here, we evaluated the neurophysiological effectiveness of direct brain control of robotic exoskeleton that provides movement support contingent with brain activity. To elucidate the mechanisms underlying the neurofeedback intervention, we assessed resting-state functional connectivity with functional magnetic resonance imaging (rsfcMRI) between the ipsilesional sensory and motor cortices before and after a single 1-h intervention. Eighteen stroke patients were randomly assigned to crossover interventions in a double-blind and sham-controlled design. One patient dropped out midway through the study, and 17 patients were included in this analysis. Interventions involved motor imagery, robotic assistance, and neuromuscular electrical stimulation administered to a paretic finger. The neurofeedback intervention delivered stimulations contingent on desynchronized ipsilesional electroencephalographic (EEG) oscillations during imagined movement, and the control intervention delivered sensorimotor stimulations that were independent of EEG oscillations. There was a significant time × intervention interaction in rsfcMRI in the ipsilesional sensorimotor cortex. Post-hoc analysis showed a larger gain in increased functional connectivity during the neurofeedback intervention. Although the neurofeedback intervention delivered fewer total sensorimotor stimulations compared to the sham-control, rsfcMRI in the ipsilesional sensorimotor cortices was increased during the neurofeedback intervention compared to the sham-control. Higher coactivation of the sensory and motor cortices during neurofeedback intervention enhanced rsfcMRI in the ipsilesional sensorimotor cortices. This study showed neurophysiological evidence that EEG-contingent neurofeedback is a promising strategy to induce intrinsic ipsilesional sensorimotor reorganization, supporting the importance of integrating closed-loop sensorimotor processing at a neurophysiological level.

Identifiants

pubmed: 31356896
pii: S0306-4522(19)30521-4
doi: 10.1016/j.neuroscience.2019.07.037
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

109-125

Informations de copyright

Copyright © 2019 IBRO. Published by Elsevier Ltd. All rights reserved.

Auteurs

Shohei Tsuchimoto (S)

School of Fundamental Science and Technology, Graduate School of Keio University, Kanagawa, 223-8522, Japan; Japan Society for the Promotion of Science, Tokyo, 102-0083, Japan.

Keiichiro Shindo (K)

Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, 160-8582, Japan; Shonan Keiiku Hospital, Kanagawa, 252-0816, Japan.

Fujiko Hotta (F)

Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, 160-8582, Japan; Tokyo Metropolitan Rehabilitation Hospital, Tokyo, 131-0034, Japan.

Takashi Hanakawa (T)

Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, 187-8551, Japan; Japan Science and Technology Agency, Precursory Research for Embryonic Science and Technology, 332-0012, Saitama, Japan.

Meigen Liu (M)

Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, 160-8582, Japan.

Junichi Ushiba (J)

Department of Biosciences and Informatics, Faculty of Science and Technology, Keio University, Kanagawa, 223-8522, Japan; Keio Institute of Pure and Applied Sciences, Faculty of Science and Technology Graduate School of Science and Technology, Keio University, Kanagawa, 223-8522, Japan. Electronic address: ushiba@bio.keio.ac.jp.

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