Neural signatures of online and offline motor learning: An ALE meta-analysis.

ABSTRACT: Neural activation patterns underlying motor learning that are captured using functional imaging can only reflect the patterns occurring at a given moment. Motor learning is known to comprise many processes which are variably biologically or temporally distinct. In order to improve the understanding of how regional activation patterns may vary across different mechanisms of motor learning, we performed an ALE meta-analysis of imaging studies that directly compares online and offline motor learning. Using coordinate-based meta-analysis methods and independent review, 1777 studies were returned from 3 databases. Thirty-eight studies investigating motor task learning met the inclusion criteria, were allocated as either online or offline learning based on their scanning placement, and revealed

SUBMITTER: Byczynski G 

PROVIDER: S-EPMC12319875 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature