Predicting online motor learning after stroke in lower limb task using machine learning

Abstract Online motor learning is central to effective learning and a crucial determinant of functional recovery after stroke. Despite its clinical significance, predictors of online motor learning remain understudied. Machine Learning (ML) offers a data-driven approach to identify predictors of onl...

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Autors principals:	Anjali Tiwari, Hunter Paxton, Stefan Delmas, Prasoon Diwakar, Gaurav Misra, Neha Lodha
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-05-01
Col·lecció:	Scientific Reports
Matèries:	motor learning Within-session motor acquisition Goal-directed task, Motor performance, cognition
Accés en línia:	https://doi.org/10.1038/s41598-026-50638-4
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