Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke

Yongchun Jiang; Junxiao Yin; Biyi Zhao; Yajie Zhang; Tingting Peng; Wanqi Zhuang; Siqing Wang; Siqi Huang; Meilian Zhong; Yanni Zhang; Guibing Tang; Bingchi Shen; Haining Ou; Yuxin Zheng; Qiang Lin

doi:10.3791/65405

Imagerie motrice Interface cerveau-ordinateur dans la rééducation de la dysfonction motrice des m...

JoVE Journal
Neuroscience

A subscription to JoVE is required to view this content. Sign in or start your free trial.

JoVE Journal Neuroscience

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke

Imagerie motrice Interface cerveau-ordinateur dans la rééducation de la dysfonction motrice des membres supérieurs après un AVC

Full Text

2,125 Views

09:42 min

September 1, 2023

DOI: 10.3791/65405-v

Yongchun Jiang*^1,2,3, Junxiao Yin*⁴, Biyi Zhao^1,3,5, Yajie Zhang^1,3, Tingting Peng^1,3, Wanqi Zhuang^1,3, Siqing Wang^1,3, Siqi Huang^1,3, Meilian Zhong^1,3, Yanni Zhang^1,3, Guibing Tang^1,3, Bingchi Shen⁶, Haining Ou^1,3, Yuxin Zheng*^2,3, Qiang Lin*^2,3

¹Guangzhou Medical University, ²Department of Rehabilitation Medicine,The Seventh Affiliated Hospital of Sun Yat-sen University, ³Department of Rehabilitation Medicine,The Fifth Affiliated Hospital of Guangzhou Medical University, ⁴Clinical Medical College of Acupuncture and Rehabilitation,Guangzhou University of Traditional Chinese Medicine, ⁵School of Traditional Chinese Medicine,Jinan University, ⁶Department of Stomatology, Second Clinical Medical College,Dongguan Campus of Guangdong Medical University

Please note that some of the translations on this page are AI generated. Click here for the English version.

Overview

This study explores the clinical application of motor imagery brain-computer interface (MI-BCI) for enhancing upper limb motor function in stroke patients. By utilizing functional near-infrared spectroscopy (fNIRS), it aims to provide insights into the mechanism and operationalization of MI-BCI interventions. The findings indicate positive effects on motor dysfunction which could guide future rehabilitation protocols.

Key Study Components

Area of Science

Neuroscience
Rehabilitation
Clinical Neuroscience

Background

Motor imagery brain-computer interfaces (MI-BCI) are emerging rehabilitation technologies for stroke patients.
Upper limb motor dysfunction is a common aftermath of stroke.
Standardizing clinical operations for MI-BCI can enhance therapeutic outcomes.

Purpose of Study

To establish a reference for the clinical operation of MI-BCI.
To evaluate the efficacy of MI-BCI in improving motor dysfunction in stroke patients.
To demonstrate the operational process and intervention effects of MI-BCI.

Methods Used

Utilized functional near-infrared spectroscopy (fNIRS) for real-time monitoring of hemoglobin concentration changes in the cerebral cortex.
Conducted assessments using Fugl-Meyer and Wolf Motor Function Tests pre- and post-MI-BCI intervention.
Followed a structured training protocol involving EEG cap placement and task settings based on patient performance.

Main Results

MI-BCI training resulted in significant improvements in both motor and cognitive functioning post-treatment.
Increased activation of key cortical areas was observed during functional assessments.
Demonstrated the adaptability of task difficulty in MI-BCI based on patient feedback and performance.

Conclusions

The study establishes MI-BCI as a viable intervention for improving motor function in stroke rehabilitation.
Findings advocate the need for additional research to refine treatment protocols and enhance efficacy.
The operational framework provided can support further studies into the neuroplastic effects of MI-BCI in stroke care.

Frequently Asked Questions

What advantages does MI-BCI offer for stroke rehabilitation?

MI-BCI provides an innovative approach to engage patients in motor rehabilitation through mental imagery, potentially enhancing recovery outcomes.

How is the MI-BCI training protocol structured?

The training involves patient education, EEG cap placement, and gradual adjustments to task difficulty based on the patient's real-time performance.

What types of data are obtained from fNIRS during the study?

fNIRS measures changes in hemoglobin concentrations, which reflect the activation of cerebral areas related to motor tasks during MI-BCI sessions.

How can MI-BCI methods be adapted for various levels of stroke severity?

The training difficulty in MI-BCI can be modulated based on individual patient assessments, ensuring personalized rehabilitation protocols.

What are some limitations of the current MI-BCI study?

Future studies are necessary to confirm the long-term efficacy of MI-BCI and to develop standardized protocols that accommodate different patient needs.

Le but de cette étude est de fournir une référence importante pour le fonctionnement clinique standard de l’interface cerveau-ordinateur par imagerie motrice (MI-BCI) pour la dysfonction motrice des membres supérieurs après un AVC.

Cette étude se concentre sur l’application clinique de l’IM-BCI chez les patients victimes d’un AVC présentant une dysfonction motrice modérée à sévère des membres supérieurs. Et il fournit des idées et des références pour la recherche standardisée sur le fonctionnement clinique et les mécanismes en démontrant le processus de fonctionnement et l’effet d’intervention de l’IM-BCI. MI-BCI a présenté un effet positif sur l’amélioration de la dysfonction motrice chez les patients victimes d’un AVC.

Cependant, d’autres recherches cliniques dans ce domaine seront menées à l’avenir afin d’établir des protocoles de traitement plus adaptés à ce niveau de fonction différent chez les patients victimes d’un AVC. Dans cette étude, la spectroscopie proche infrarouge fonctionnelle, fNIRS, a été utilisée pour surveiller les changements de concentration de l’hémoglobine et de l’hémoglobine oxygénante dans le cortex cérébral en temps réel sous différentes tâches de stimulation. Fournissant ainsi des preuves d’imagerie de l’effet clinique de l’ICM-BCI.

View the full transcript and gain access to thousands of scientific videos

Explore More Videos

Mots-clés : imagerie motrice interface cerveau-ordinateur accident vasculaire cérébral dysfonctionnement moteur des membres supérieurs réadaptation non invasif application clinique évaluation de la fonction cérébrale