Classifying mental motor tasks from chronic ECoG-BCI recordings using phase-amplitude coupling features.

ABSTRACT:

Introduction

Phase-amplitude coupling (PAC), the modulation of high-frequency neural oscillations by the phase of slower oscillations, is increasingly recognized as a marker of goal-directed motor behavior. Despite this interest, its specific role and potential value in decoding attempted motor movements remain unclear.

Methods

This study investigates whether PAC-derived features can be leveraged to classify different motor behaviors from ECoG signals within Brain-Computer Interface (BCI) systems. ECoG data were collected using the WIMAGINE implant during BCI experiments with a tetraplegic patient performing mental motor tasks. The data underwent preprocessing to extract complex neural oscillation features (amplitude, phase) through spectral decomposition techniques. These f

SUBMITTER: Marzulli M 

PROVIDER: S-EPMC11936922 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature