A low-dimensional representation of arm movements and hand grip forces in post-stroke individuals.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
09 05 2022
09 05 2022
Historique:
received:
02
07
2021
accepted:
28
04
2022
entrez:
9
5
2022
pubmed:
10
5
2022
medline:
12
5
2022
Statut:
epublish
Résumé
Characterizing post-stroke impairments in the sensorimotor control of arm and hand is essential to better understand altered mechanisms of movement generation. Herein, we used a decomposition algorithm to characterize impairments in end-effector velocity and hand grip force data collected from an instrumented functional task in 83 healthy control and 27 chronic post-stroke individuals with mild-to-moderate impairments. According to kinematic and kinetic raw data, post-stroke individuals showed reduced functional performance during all task phases. After applying the decomposition algorithm, we observed that the behavioural data from healthy controls relies on a low-dimensional representation and demonstrated that this representation is mostly preserved post-stroke. Further, it emerged that reduced functional performance post-stroke correlates to an abnormal variance distribution of the behavioural representation, except when reducing hand grip forces. This suggests that the behavioural repertoire in these post-stroke individuals is mostly preserved, thereby pointing towards therapeutic strategies that optimize movement quality and the reduction of grip forces to improve performance of daily life activities post-stroke.
Identifiants
pubmed: 35534629
doi: 10.1038/s41598-022-11806-4
pii: 10.1038/s41598-022-11806-4
pmc: PMC9085765
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
7601Subventions
Organisme : European Research Council
ID : 810346
Pays : International
Informations de copyright
© 2022. The Author(s).
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