Mirror Box as a tool for training users to achieve motor imagery.

BCI illiterates EEG ERD Mirror Visual Feedback Motor imagery

Journal

Journal of neurophysiology
ISSN: 1522-1598
Titre abrégé: J Neurophysiol
Pays: United States
ID NLM: 0375404

Informations de publication

Date de publication:
07 Feb 2024
Historique:
medline: 7 2 2024
pubmed: 7 2 2024
entrez: 7 2 2024
Statut: aheadofprint

Résumé

To evaluate Mirror Visual Feedback (MVF) as a training tool for brain-computer interface (BCI) users. Because about 20%-30% of subjects need more training to operate a BCI system that uses motor imagery. Electroencephalograms (EEGs) were recorded from 18 healthy subjects, using event-related desynchronization (ERD) to observe the responses during the movement or movement intention of the hand for the conditions of Control, Imagination, and the MVF with the mirror box. Two groups of subjects were formed, Group 1: control, imagination, and MVF. Group 2: control, MVF, and imagination. There were significant differences in imagination conditions between groups using MVF before or after imagination (Right-hand p= 0.0403. Left-hand p=0.00939). The illusion of movement through MVF is not possible in all subjects, but even in those cases, we found an increase in imagination when the subject used the MVF previously. The increase in the r2s of imagination in the right and left hands suggests cross-learning. The increase in motor imagery recorded with EEG after MVF suggests that the mirror box made it easier to imagine movements. Our results provide evidence that the MVF could be used as a training tool to improve motor imagery.

Identifiants

pubmed: 38323330
doi: 10.1152/jn.00121.2023
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)
ID : PID 6179

Auteurs

Diana Margarita Casas Gómez (DM)

Engineering School, National University of Entre Ríos, Oro Verde, Entre Ríos, Argentina.

Ariel Andres Antonio Braidot (AAA)

Engineering school, National University of Entre Ríos, Oro Verde, Entre Ríos, Argentina.

Classifications MeSH