Predicting upper limb motor recovery in subacute stroke patients via fNIRS-measured cerebral functional responses induced by robotic training.

ABSTRACT:

Background

Neural activation induced by upper extremity robot-assisted training (UE-RAT) helps characterize adaptive changes in the brains of poststroke patients, revealing differences in recovery potential among patients. However, it remains unclear whether these task-related neural activities can effectively predict rehabilitation outcomes. In this study, we utilized functional near-infrared spectroscopy (fNIRS) to measure participants' neural activity profiles during resting and UE-RAT tasks and developed models via machine learning to verify whether task-related functional brain responses can predict the recovery of upper limb motor function.

Methods

Cortical activation and brain network functional connectivity (FC) in brain regions such as the superior frontal cortex, p

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC11665088 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature