Literature DB >> 23643578

Daily training with realistic visual feedback improves reproducibility of event-related desynchronisation following hand motor imagery.

Takashi Ono1, Akio Kimura, Junichi Ushiba.   

Abstract

OBJECTIVE: Few brain-computer interface (BCI) studies have addressed learning mechanisms by exposure to visual feedback that elicits scalp electroencephalogram. We examined the effect of realistic visual feedback of hand movement associated with sensorimotor rhythm.
METHODS: Thirty-two healthy participants performed in five daily training in which they were shown motor imagery of their dominant hand. Participants were randomly assigned to 1 of 4 experimental groups receiving different types of visual feedback on event-related desynchronisation (ERD) derived over the contralateral sensorimotor cortex: no feedback as a control, bar feedback with changing bar length, anatomically incongruent feedback in which the hand open/grasp picture on screen was animated at eye level, and anatomically congruent feedback in which the same hand open/grasp picture was animated on the screen overlaying the participant's hand.
RESULTS: Daily training with all types of visual feedback induced more robust ERD than the no feedback condition (p < 0.05). The anatomically congruent feedback produced the highest reproducibility of ERD with the smallest inter-trial variance (p < 0.05).
CONCLUSION: Realistic feedback training is a suitable method to acquire the skill to control a BCI system. SIGNIFICANCE: This finding highlights the possibility of improvement of reproducibility of ERD and can help to use BCI techniques.
Copyright © 2013 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Brain–computer interface; Event-related desynchronisation; Motor imagery; Realistic feedback

Mesh:

Year:  2013        PMID: 23643578     DOI: 10.1016/j.clinph.2013.03.006

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  18 in total

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