Decoding executed and imagined grasping movements from distributed non-motor brain areas using a Riemannian decoder.

ABSTRACT: Using brain activity directly as input for assistive tool control can circumventmuscular dysfunction and increase functional independence for physically impaired people. The motor cortex is commonly targeted for recordings, while growing evidence shows that there exists decodable movement-related neural activity outside of the motor cortex. Several decoding studies demonstrated significant decoding from distributed areas separately. Here, we combine information from all recorded non-motor brain areas and decode executed and imagined movements using a Riemannian decoder. We recorded neural activity from 8 epilepsy patients implanted with stereotactic-electroencephalographic electrodes (sEEG), while they performed an executed and imagined grasping tasks. Before decoding, we excluded all cont

SUBMITTER: Ottenhoff MC 

PROVIDER: S-EPMC10701391 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature