A novel virtual reality approach for functional lateralization in healthy adults.


Journal

Brain research
ISSN: 1872-6240
Titre abrégé: Brain Res
Pays: Netherlands
ID NLM: 0045503

Informations de publication

Date de publication:
01 09 2021
Historique:
received: 23 01 2021
revised: 21 05 2021
accepted: 24 05 2021
pubmed: 31 5 2021
medline: 27 1 2022
entrez: 30 5 2021
Statut: ppublish

Résumé

Functional lateralization relates to a natural asymmetry in the dominance right or left body side, and is a fundamental principle of the brain. The hemispheres of the brain control the contralateral body side, and show subtle, yet striking, anatomical asymmetries and functional lateralization. Innovative technologies, including Virtual Reality (VR), are entering the areas of experimental research, modeling and simulation related to the study of lateralization, with new perspectives of different applications in modern medical practice. Researchers/clinicians note that there are fewer VR studies with healthy participants, and which are important in evaluating/interpreting clinical outcomes, and testing the usefulness, limitations, and sensitivity of VR. The presented influence of the domination of upper/lower limbs on the performance of VR exercises was studied in healthy right-handed adults. Virtual testing sessions were performed independently with both/ dominant/ non-dominant hands, and the similar VR sessions were conduced on a Wii Balance Board (WBB) with the choice of body side, at different levels of the difficulty. The obtained results are consistent with other studies which show that cognitive-motor training in VR with the WBB platform is a very sensitive and promising tool for recognizing/assessing functional asymmetries of the right-left body side not only in disturbed lateralization, but also in the test training of healthy subjects.

Identifiants

pubmed: 34052260
pii: S0006-8993(21)00394-2
doi: 10.1016/j.brainres.2021.147537
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

147537

Informations de copyright

Copyright © 2021 The Author. Published by Elsevier B.V. All rights reserved.

Auteurs

Beata Sokołowska (B)

Bioinformatics Laboratory, Mossakowski Medical Research Centre Polish Academy of Sciences, Warsaw, Poland. Electronic address: beta.sokolowska@imdik.pan.pl.

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Classifications MeSH