Résumé
Background: Stroke can impair manual dexterity, leading to loss of independence following incomplete recovery. Enhancing our understanding of dexterity impairment may improve neurorehabilitation. Objectives: The study aimed to measure dexterity components in acute stroke patients with and without hand motor deficits, compare them to those of healthy controls (HC), and to explore the neural substrates involved in specific components of dexterity. Methods: We used the Dextrain Manipulandum to quantify fine finger force control, finger selection accuracy, coactivation, and reaction time (RT). Dexterity was evaluated twice (2 days apart) in 74 patients and 14 HC. Voxel-Lesion-Symptom-Mapping (VLSM) was used to analyze the relationship between tissue damage and dexterity. Results. Due to severe paresis or fatigue, 24 patients could not perform these tasks. In 50 patients (included 4.6 ± 3.3 days post-stroke), finger force control improved (P <.001), as it did in HC (P =.03) who performed better than patients on both evaluations. Accuracy of finger selection did not improve significantly in any group, but the HC performed better on both evaluations. Unexpectedly, coactivation was better in patients than in HC at D3 (P =.03). There were no between-group differences in RT. VLSM showed that damage to the superior temporal gyrus (STG) impaired finger force control while damage to the posterior limb of the internal capsule (PLIC) impaired finger selectivity. Conclusions: Acute stroke affecting the STG or PLIC impaired selective components of dexterity. Patients with mild to moderate impairment showed better finger force control and accuracy selection within 48 hours, suggesting the feasibility of detecting early dexterity improvements.
| langue originale | Anglais |
|---|---|
| Pages (de - à) | 229-239 |
| Nombre de pages | 11 |
| journal | Neurorehabilitation and Neural Repair |
| Volume | 38 |
| Numéro de publication | 3 |
| Les DOIs | |
| Etat de la publication | Publié - mars 2024 |
| Modification externe | Oui |
Financement
We are grateful to the patients with stroke patients and HCs who participated in the study. We thank Maxime Teremetz for providing help and support with the Dextrain manipulandum and for assisting with software development. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The work of YV is supported by the following grants: Fonds de la Recherche Scientifique—FNRS 1.R.506.16, 1.R.506.18, 1.R.506.20F and 1S00722F, Fonds Spécial de Recherche (FSR) grant from the UCLouvain, and Fondation Mont-Godinne grants (2019-2023). The work of EG is supported by the PDR-FNRS grant T.0239.19. The work of CvR is supported by a FSR grant from the UCLouvain (2022-2023), and Fondation Mont-Godinne grant (2022-2023). The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The work of YV is supported by the following grants: Fonds de la Recherche Scientifique—FNRS 1.R.506.16, 1.R.506.18, 1.R.506.20F and 1S00722F, Fonds Spécial de Recherche (FSR) grant from the UCLouvain, and Fondation Mont-Godinne grants (2019-2023). The work of EG is supported by the PDR-FNRS grant T.0239.19. The work of CvR is supported by a FSR grant from the UCLouvain (2022-2023), and Fondation Mont-Godinne grant (2022-2023).
| Bailleurs de fonds | Numéro du bailleur de fonds |
|---|---|
| Fondation Mont-Godinne | 2019-2023 |
| PDR-FNRS | T.0239.19, 2022-2023 |
| Université Catholique de Louvain | |
| Fonds de la Recherche Scientifique F.R.S.-FNRS | 1S00722F |
| Fonds Spéciaux de Recherche |
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