Literature DB >> 33026895

Action observation training and brain-computer interface controlled functional electrical stimulation enhance upper extremity performance and cortical activation in patients with stroke: a randomized controlled trial.

Su-Hyun Lee1, Seong Sik Kim1, Byoung-Hee Lee1.   

Abstract

PURPOSE: Brain-computer interface (BCI)-functional electronic stimulation (FES) systems are increasingly being explored as potential neuro-rehabilitation tools. Here, we investigate the effect of action observation training (AOT) plus electroencephalogram (EEG)-based BCI-controlled FES system on motor recovery of upper extremity and cortical activation in patients with stroke.
METHOD: There were a total of 26 patients: an AOT plus BCI-FES group (n = 13) and a control group (n = 13). The control group performed FES treatment and the conventional physical therapy, while the AOT plus BCI-FES group performed AOT plus BCI-FES and the conventional physical therapy. Upper extremity performance was measured using the Fugl-Meyer Assessment of the Upper Extremity (FMA-UE), Wolf Motor Function Test (WMFT), Motor Activity Log (MAL) and Modified Barthel Index (MBI). Cortical activation was measured using electro-encephalographic recordings from alpha and beta power, concentration, and activation.
RESULTS: After intervention, there were significant differences between two groups in FMA-UE, WMFT, MAL and MBI and the results of EEG including alpha power, beta power, concentration and activation.
CONCLUSIONS: This study demonstrated that AOT plus BCI-FES can enhance motor function of upper extremity and cortical activation in patients with stroke. This training method may be feasible and suitable for individuals with stroke.

Entities:  

Keywords:  Action observation training; brain computer interface; electroencephalographic; functional electrical stimulation; stroke

Mesh:

Year:  2020        PMID: 33026895     DOI: 10.1080/09593985.2020.1831114

Source DB:  PubMed          Journal:  Physiother Theory Pract        ISSN: 0959-3985            Impact factor:   2.176


  5 in total

1.  Observation of others' actions during limb immobilization prevents the subsequent decay of motor performance.

Authors:  Doriana De Marco; Emilia Scalona; Maria Chiara Bazzini; Arturo Nuara; Elisa Taglione; Nicola Francesco Lopomo; Giacomo Rizzolatti; Maddalena Fabbri-Destro; Pietro Avanzini
Journal:  Proc Natl Acad Sci U S A       Date:  2021-11-23       Impact factor: 11.205

2.  The Effect of Brain-Computer Interface Training on Rehabilitation of Upper Limb Dysfunction After Stroke: A Meta-Analysis of Randomized Controlled Trials.

Authors:  Weiwei Yang; Xiaoyun Zhang; Zhenjing Li; Qiongfang Zhang; Chunhua Xue; Yaping Huai
Journal:  Front Neurosci       Date:  2022-02-07       Impact factor: 4.677

3.  The Application of Brain-Computer Interface in Upper Limb Dysfunction After Stroke: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Authors:  Yang Peng; Jing Wang; Zicai Liu; Lida Zhong; Xin Wen; Pu Wang; Xiaoqian Gong; Huiyu Liu
Journal:  Front Hum Neurosci       Date:  2022-03-29       Impact factor: 3.169

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.  Brain-machine interface-based training for improving upper extremity function after stroke: A meta-analysis of randomized controlled trials.

Authors:  Yu-Lei Xie; Yu-Xuan Yang; Hong Jiang; Xing-Yu Duan; Li-Jing Gu; Wu Qing; Bo Zhang; Yin-Xu Wang
Journal:  Front Neurosci       Date:  2022-08-03       Impact factor: 5.152

  5 in total

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