Prediction of Upper Limb Motor Recovery by the PREP2 Algorithm in a Nonselected Population: External Validation and Influence of Cognitive Syndromes

Our study provides an external validation of the PREP2 algorithm in a prospective population and underlines the importance of taking into account cognitive syndromes in motor recovery prediction.

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Publication Details

Journal
Neurorehabilitation and neural repair
Published
2024-08-20
DOI
https://doi.org/10.1177/15459683241270056
Citations
3
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.75
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article

Prediction of Upper Limb Motor Recovery by the PREP2 Algorithm in a Nonselected Population: External Validation and Influence of Cognitive Syndromes

Damien Galanaud, Romain Valabrègue, Aymeric Wittwer, Sarah Millot et al.
3 citations
Neurorehabilitation and neural repair
Stroke Rehabilitation and Recovery
0.75
article

Prediction of Upper Limb Motor Recovery by the PREP2 Algorithm in a Nonselected Population: External Validation and Influence of Cognitive Syndromes

Damien Galanaud, Romain Valabrègue, Aymeric Wittwer, Sarah Millot, Lina Daghsen, Charlotte Rosso, Thomas Checkouri, Jean Charles Lamy
article en
3 citations

Abstract

Our study provides an external validation of the PREP2 algorithm in a prospective population and underlines the importance of taking into account cognitive syndromes in motor recovery prediction.

Neurorehabilitation and neural repairVol. 38(10)
Centre National de la Recherche Scientifique (FR), Inserm (FR), Sorbonne Université (FR), Assistance Publique – Hôpitaux de Paris (FR), Pitié-Salpêtrière Hospital (FR), Institut du Cerveau (FR)
Openalex Percentile: Top 25%
Stroke Rehabilitation and Recovery
0.75
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Prediction of Upper Limb Motor Recovery by the PREP2 Algorithm in a Nonselected Population: External Validation and Influence of Cognitive Syndromes — Damien Galanaud, Romain Valabrègue, et al. · Neurorehabilitation and neural repair (2024) | TGRS Research Map | TGRS