Neural signal analysis in chronic stroke: advancing intracortical brain-computer interface design.

ABSTRACT:

Introduction

Intracortical Brain-computer interfaces (iBCIs) are a promising technology to restore function after stroke. It remains unclear whether iBCIs will be able to use the signals available in the neocortex overlying stroke affecting the underlying white matter and basal ganglia.

Methods

Here, we decoded both local field potentials (LFPs) and spikes recorded from intracortical electrode arrays in a person with chronic cerebral subcortical stroke performing various tasks with his paretic hand, with and without a powered orthosis. Analysis of these neural signals provides an opportunity to explore the electrophysiological activities of a stroke affected brain and inform the design of medical devices that could restore function.

Results

The frequency domain analys

SUBMITTER: Shawki N 

PROVIDER: S-EPMC11885313 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature