Sensorimotor Network Segregation Predicts Long-Term Learning of Writing Skills in Parkinson’s Disease

The prediction of motor learning in Parkinson’s disease (PD) is vastly understudied. Here, we investigated which clinical and neural factors predict better long-term gains after an intensive 6-week motor learning program to ameliorate micrographia. We computed a composite score of learning through p...

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Bibliographic Details

Published in:	Brain Sciences
Main Authors:	Nicholas D’Cruz, Joni De Vleeschhauwer, Martina Putzolu, Evelien Nackaerts, Moran Gilat, Alice Nieuwboer
Format:	Article
Language:	English
Published:	MDPI AG 2024-04-01
Subjects:	Parkinson’s disease motor learning rehabilitation micrographia resting-state fMRI network segregation
Online Access:	https://www.mdpi.com/2076-3425/14/4/376