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Re-learning mental representation of walking after a brain lesion. Effects of a cognitive-motor training with a robotic orthosis

Authors :
Maria-Chiara Villa
Giuliano C. Geminiani
Marina Zettin
Alessandro Cicerale
Irene Ronga
Sergio Duca
Katiuscia Sacco
Source :
Frontiers in Neurorobotics, Vol 17 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

IntroductionStroke-related deficits often include motor impairments and gait dysfunction, leading to a limitation of social activities and consequently affecting the quality of life of stroke survivors. Neurorehabilitation takes advantage of the contribution of different techniques in order to achieve more benefits for patients. Robotic devices help to improve the outcomes of physical rehabilitation. Moreover, motor imagery seems to play a role in neurological rehabilitation since it leads to the activation of the same brain areas as actual movements. This study investigates the use of a combined physical and cognitive protocol for gait rehabilitation in stroke patients.MethodsSpecifically, we tested the efficacy of a 5-week training program using a robotic orthosis (P.I.G.R.O.) in conjunction with motor imagery training. Twelve chronic stroke patients participated in the study. We evaluated balance and gait performance before and after the training. Six of them underwent fMRI examination before and after the training to assess the effects of the protocol on brain plasticity mechanisms in motor and imagery tasks.ResultsOur results show that the rehabilitation protocol can effectively improve gait performance and balance and reduce the risk of falls in stroke patients. Furthermore, the fMRI results suggest that rehabilitation is associated with cerebral plastic changes in motor networks.DiscussionThe present findings, if confirmed by future research, have the potential to advance the development of new, more effective rehabilitation approaches for stroke patients, improving their quality of life and reducing the burden of stroke-related disability.

Details

Language :
English
ISSN :
16625218
Volume :
17
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neurorobotics
Publication Type :
Academic Journal
Accession number :
edsdoj.9bc7eadd1e44936b2f28c32b7c9fc03
Document Type :
article
Full Text :
https://doi.org/10.3389/fnbot.2023.1177201