Decoding and geometry of ten finger movements in human posterior parietal cortex and motor cortex.

ABSTRACT: Objective. Enable neural control of individual prosthetic fingers for participants with upper-limb paralysis.Approach. Two tetraplegic participants were each implanted with a 96-channel array in the left posterior parietal cortex (PPC). One of the participants was additionally implanted with a 96-channel array near the hand knob of the left motor cortex (MC). Across tens of sessions, we recorded neural activity while the participants attempted to move individual fingers of the right hand. Offline, we classified attempted finger movements from neural firing rates using linear discriminant analysis with cross-validation. The participants then used the neural classifier online to control individual fingers of a brain-machine interface (BMI). Finally, we characterized the neural

SUBMITTER: Guan C 

PROVIDER: S-EPMC10209510 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature