Author:
Kanzler Christoph M.,Averta Giuseppe,Schwarz Anne,Held Jeremia P. O.,Gassert Roger,Bicchi Antonio,Santello Marco,Lambercy Olivier,Bianchi Matteo
Abstract
AbstractCharacterizing 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.
Funder
Horizon 2020 Framework Programme
National Research Foundation, Prime Minister's Office, Singapore - CREATE program
European Research Council
Italian Ministry of Education and Research - CrossLab Project
P&K Pühringer Foundation
Swiss State Secretariat for Education, Research and Innovation
Publisher
Springer Science and Business Media LLC
Cited by
5 articles.
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