Post-Stroke Impairments of Manual Dexterity and Finger Proprioception: Their Contribution to Upper Limb Activity Capacity.

activity capacity finger individuation finger tapping force manual dexterity neurorehabilitation stroke upper limb

Journal

Neurorehabilitation and neural repair
ISSN: 1552-6844
Titre abrégé: Neurorehabil Neural Repair
Pays: United States
ID NLM: 100892086

Informations de publication

Date de publication:
04 Apr 2024
Historique:
medline: 4 4 2024
pubmed: 4 4 2024
entrez: 4 4 2024
Statut: aheadofprint

Résumé

Knowing how impaired manual dexterity and finger proprioception affect upper limb activity capacity is important for delineating targeted post-stroke interventions for upper limb recovery. To investigate whether impaired manual dexterity and finger proprioception explain variance in post-stroke activity capacity, and whether they explain more variance than conventional clinical assessments of upper limb sensorimotor impairments. Activity capacity and hand sensorimotor impairments were assessed using clinical measures in N = 42 late subacute/chronic hemiparetic stroke patients. Dexterity was evaluated using the Dextrain Manipulandum to quantify accuracy of visuomotor finger force-tracking (N = 36), timing of rhythmic tapping (N = 36), and finger individuation (N = 24), as well as proprioception (N = 27). Stepwise multivariate and hierarchical linear regression models were used to identify impairments best explaining activity capacity. Dexterity and proprioceptive components significantly increased the variance explained in activity capacity: (i) Box and Block Test was best explained by baseline tonic force during force-tracking and tapping frequency (adjusted Manual dexterity and finger proprioception explain unique variance in activity capacity not captured by conventional impairment measures and should be assessed when considering the underlying causes of post-stroke activity capacity limitations.URL: https://www.clinicaltrials.gov. Unique identifier: NCT03934073.

Sections du résumé

BACKGROUND BACKGROUND
Knowing how impaired manual dexterity and finger proprioception affect upper limb activity capacity is important for delineating targeted post-stroke interventions for upper limb recovery.
OBJECTIVES OBJECTIVE
To investigate whether impaired manual dexterity and finger proprioception explain variance in post-stroke activity capacity, and whether they explain more variance than conventional clinical assessments of upper limb sensorimotor impairments.
METHODS METHODS
Activity capacity and hand sensorimotor impairments were assessed using clinical measures in N = 42 late subacute/chronic hemiparetic stroke patients. Dexterity was evaluated using the Dextrain Manipulandum to quantify accuracy of visuomotor finger force-tracking (N = 36), timing of rhythmic tapping (N = 36), and finger individuation (N = 24), as well as proprioception (N = 27). Stepwise multivariate and hierarchical linear regression models were used to identify impairments best explaining activity capacity.
RESULTS RESULTS
Dexterity and proprioceptive components significantly increased the variance explained in activity capacity: (i) Box and Block Test was best explained by baseline tonic force during force-tracking and tapping frequency (adjusted
CONCLUSIONS CONCLUSIONS
Manual dexterity and finger proprioception explain unique variance in activity capacity not captured by conventional impairment measures and should be assessed when considering the underlying causes of post-stroke activity capacity limitations.URL: https://www.clinicaltrials.gov. Unique identifier: NCT03934073.

Identifiants

pubmed: 38572686
doi: 10.1177/15459683241245416
doi:

Banques de données

ClinicalTrials.gov
['NCT03934073']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15459683241245416

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: MT, MAM, and PGL have patented the method for multidimensional measurement of manual dexterity (WO2016184935A3). MT and PGL are founding members of start-up company Dextrain (started in 2021) who owns the commercial rights. MT now works for the start-up full-time. PGL, head of the scientific board, reports no financial gain in advising the company. CR is a member of the scientific board of the company but receives no financial benefits. The other authors report no financial interests or potential conflicts of interest.

Auteurs

Coralie van Ravestyn (C)

Department of Neurology, Stroke Unit, CHU UCL Namur, UCLouvain, Yvoir, Belgium.
NEUR Division, Institute of NeuroScience, UCLouvain, Brussels, Belgium.

Eloïse Gerardin (E)

Department of Neurology, Stroke Unit, CHU UCL Namur, UCLouvain, Yvoir, Belgium.
NEUR Division, Institute of NeuroScience, UCLouvain, Brussels, Belgium.

Maxime Térémetz (M)

Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1226, F-75014 Paris, France.

Sonia Hamdoun (S)

Service de Médecine Physique et de Réadaptation, GHU Paris Psychiatrie & Neurosciences, Paris, France.

Jean-Claude Baron (JC)

GHU-Paris Psychiatrie & Neurosciences, FHU NeuroVasc, Hôpital Sainte Anne, F-75014 Paris, France.

David Calvet (D)

GHU-Paris Psychiatrie & Neurosciences, FHU NeuroVasc, Hôpital Sainte Anne, F-75014 Paris, France.

Yves Vandermeeren (Y)

Department of Neurology, Stroke Unit, CHU UCL Namur, UCLouvain, Yvoir, Belgium.
NEUR Division, Institute of NeuroScience, UCLouvain, Brussels, Belgium.

Guillaume Turc (G)

Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1226, F-75014 Paris, France.
GHU-Paris Psychiatrie & Neurosciences, FHU NeuroVasc, Hôpital Sainte Anne, F-75014 Paris, France.

Marc A Maier (MA)

Université Paris Cité, INCC UMR 8002, CNRS, Paris, France.

Charlotte Rosso (C)

Institut du Cerveau-Paris Brain Institute-ICM, Inserm, CNRS, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France.

Jean-Louis Mas (JL)

Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1226, F-75014 Paris, France.
GHU-Paris Psychiatrie & Neurosciences, FHU NeuroVasc, Hôpital Sainte Anne, F-75014 Paris, France.

Lucile Dupin (L)

Université Paris Cité, INCC UMR 8002, CNRS, Paris, France.

Påvel G Lindberg (PG)

Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1226, F-75014 Paris, France.

Classifications MeSH