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

Author:

van Ravestyn Coralie12ORCID,Gerardin Eloïse12ORCID,Térémetz Maxime3,Hamdoun Sonia4,Baron Jean-Claude5,Calvet David5,Vandermeeren Yves12,Turc Guillaume35,Maier Marc A.6,Rosso Charlotte7ORCID,Mas Jean-Louis35,Dupin Lucile6,Lindberg Påvel G.3

Affiliation:

1. Department of Neurology, Stroke Unit, CHU UCL Namur, UCLouvain, Yvoir, Belgium

2. NEUR Division, Institute of NeuroScience, UCLouvain, Brussels, Belgium

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

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

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

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

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

Abstract

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 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 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 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 R2 = .51); (ii) Motor Activity Log was best explained by success rate in finger individuation (adjusted R2 = .46); (iii) Action Research Arm Test was best explained by release of finger force and proprioceptive measures (improved reaction time related to use of proprioception; adjusted R2 = .52); and (iv) Moberg Pick-Up test was best explained by proprioceptive function (adjusted R2 = .18). Models excluding dexterity and proprioception variables explained up to 19% less variance. 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.

Funder

Fondation pour la Recherche sur les AVC

Erganeo

Publisher

SAGE Publications

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