» Articles » PMID: 20208465

Feasibility of a New Application of Noninvasive Brain Computer Interface (BCI): a Case Study of Training for Recovery of Volitional Motor Control After Stroke

Overview
Specialty Neurology
Date 2010 Mar 9
PMID 20208465
Citations 92
Authors
Affiliations
Soon will be listed here.
Abstract

Background/purpose: A large proportion of individuals with stroke have persistent deficits for which current interventions have not restored normal motor behavior. Noninvasive brain computer interfaces (BCIs) have potential advantages for restoration of function. There are also potential advantages for combining BCI with functional electrical stimulation (FES). We tested the feasibility of combined BCI + FES for motor learning after stroke.

Case Description: The participant was a 43-year-old woman who was 10 months post-stroke. She was unable to produce isolated movement of any of the digits of her involved hand. With effort she exhibited simultaneous mass hyperextension of metacarpal phalangeal joints of all four fingers and thumb with simultaneous flexion of proximal interphalangeal and distal interphalangeal joints of all fingers.

Intervention: Brain signals from the lesioned hemisphere were used to trigger FES for movement practice. The BCI + FES intervention consisted of trials of either attempted finger movement and relax conditions or imagined finger movement and relax conditions. The training was performed three times per week for three weeks (nine sessions total).

Outcome: : The participant exhibited highly accurate control of brain signal in the first session for attempted movement (97%), imagined movement (83%), and some difficulties with attempted relaxation (65%). By session 6, control of relaxation (deactivation of brain signal) improved to >80%. After nine sessions (three per week) of BCI + FES intervention, the participant demonstrated recovery of volitional isolated index finger extension.

Discussion: BCI + FES training for motor learning after stroke was feasible. A highly accurate brain signal control was achieved, and this signal could be reliably used to trigger the FES device for isolated index finger extension. With training, volitional control of isolated finger extension was attained in a small number of sessions. The source of motor recovery could be attributable to BCI, FES, combined BCI + FES, or whole arm or hand motor task practice.

Citing Articles

The effect of brain-computer interface controlled functional electrical stimulation training on rehabilitation of upper limb after stroke: a systematic review and meta-analysis.

Ren C, Li X, Gao Q, Pan M, Wang J, Yang F Front Hum Neurosci. 2024; 18:1438095.

PMID: 39391265 PMC: 11464471. DOI: 10.3389/fnhum.2024.1438095.


EEG-based sensorimotor neurofeedback for motor neurorehabilitation in children and adults: A scoping review.

Cioffi E, Hutber A, Molloy R, Murden S, Yurkewich A, Kirton A Clin Neurophysiol. 2024; 167:143-166.

PMID: 39321571 PMC: 11845253. DOI: 10.1016/j.clinph.2024.08.009.


Enhancing poststroke hand movement recovery: Efficacy of RehabSwift, a personalized brain-computer interface system.

Darvishi S, Gupta A, Hamilton-Bruce A, Koblar S, Baumert M, Abbott D PNAS Nexus. 2024; 3(7):pgae240.

PMID: 38984151 PMC: 11232286. DOI: 10.1093/pnasnexus/pgae240.


A single-center, assessor-blinded, randomized controlled clinical trial to test the safety and efficacy of a novel brain-computer interface controlled functional electrical stimulation (BCI-FES) intervention for gait rehabilitation in the chronic....

Biswas P, Dodakian L, Wang P, Johnson C, See J, Chan V BMC Neurol. 2024; 24(1):200.

PMID: 38872109 PMC: 11170800. DOI: 10.1186/s12883-024-03710-3.


An Investigation of Manifold-Based Direct Control for a Brain-to-Body Neural Bypass.

Losanno E, Badi M, Roussinova E, Bogaard A, Delacombaz M, Shokur S IEEE Open J Eng Med Biol. 2024; 5:271-280.

PMID: 38766541 PMC: 11100864. DOI: 10.1109/OJEMB.2024.3381475.