Literature DB >> 31356896

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

Shohei Tsuchimoto1, Keiichiro Shindo2, Fujiko Hotta3, Takashi Hanakawa4, Meigen Liu5, Junichi Ushiba6.   

Abstract

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

Entities:  

Keywords:  and sensorimotor reorganization; brain-computer interface; closed-loop brain training; double-blinded trial; randomized controlled study; resting-state functional connectivity

Year:  2019        PMID: 31356896     DOI: 10.1016/j.neuroscience.2019.07.037

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  8 in total

1.  Effectiveness and safety of brain-computer interface technology in the treatment of poststroke motor disorders: a protocol for systematic review and meta-analysis.

Authors:  Xiaolin Zhang; Di Cao; Junnan Liu; Qi Zhang; Mingjun Liu
Journal:  BMJ Open       Date:  2021-01-28       Impact factor: 2.692

2.  Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review.

Authors:  Paul Dominick E Baniqued; Emily C Stanyer; Muhammad Awais; Ali Alazmani; Andrew E Jackson; Mark A Mon-Williams; Faisal Mushtaq; Raymond J Holt
Journal:  J Neuroeng Rehabil       Date:  2021-01-23       Impact factor: 4.262

Review 3.  Mechanisms of Stem Cell Therapy in Spinal Cord Injuries.

Authors:  Munehisa Shinozaki; Narihito Nagoshi; Masaya Nakamura; Hideyuki Okano
Journal:  Cells       Date:  2021-10-06       Impact factor: 6.600

Review 4.  The role of brain oscillations in post-stroke motor recovery: An overview.

Authors:  Giulia Leonardi; Rosella Ciurleo; Francesca Cucinotta; Bartolo Fonti; Daniele Borzelli; Lara Costa; Adriana Tisano; Simona Portaro; Angelo Alito
Journal:  Front Syst Neurosci       Date:  2022-07-29

5.  Intervention Effect of Rehabilitation Robotic Bed Under Machine Learning Combined With Intensive Motor Training on Stroke Patients With Hemiplegia.

Authors:  Guangliang Liu; Haiqin Cai; Naruemon Leelayuwat
Journal:  Front Neurorobot       Date:  2022-06-09       Impact factor: 3.493

6.  Test-retest reliability of peak location in the sensorimotor network of resting state fMRI for potential rTMS targets.

Authors:  Yun-Song Hu; Juan Yue; Qiu Ge; Zi-Jian Feng; Jue Wang; Yu-Feng Zang
Journal:  Front Neuroinform       Date:  2022-10-03       Impact factor: 3.739

7.  Brain Functional Changes in Stroke Following Rehabilitation Using Brain-Computer Interface-Assisted Motor Imagery With and Without tDCS: A Pilot Study.

Authors:  Mengjiao Hu; Hsiao-Ju Cheng; Fang Ji; Joanna Su Xian Chong; Zhongkang Lu; Weimin Huang; Kai Keng Ang; Kok Soon Phua; Kai-Hsiang Chuang; Xudong Jiang; Effie Chew; Cuntai Guan; Juan Helen Zhou
Journal:  Front Hum Neurosci       Date:  2021-07-16       Impact factor: 3.169

8.  Changes in EEG Brain Connectivity Caused by Short-Term BCI Neurofeedback-Rehabilitation Training: A Case Study.

Authors:  Youhao Wang; Jingjing Luo; Yuzhu Guo; Qiang Du; Qiying Cheng; Hongbo Wang
Journal:  Front Hum Neurosci       Date:  2021-06-24       Impact factor: 3.169

  8 in total

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