Unknown

Dataset Information

Characterization of High-Gamma Activity in Electrocorticographic signals.


ABSTRACT:

Introduction

Electrocorticographic (ECoG) high-gamma activity (HGA) is a widely recognized and robust neural correlate of cognition and behavior. However, fundamental signal properties of HGA, such as the high-gamma frequency band or temporal dynamics of HGA, have never been systematically characterized. As a result, HGA estimators are often poorly adjusted, such that they miss valuable physiological information.

Methods

To address these issues, we conducted a thorough qualitative and quantitative characterization of HGA in ECoG signals. Our study is based on ECoG signals recorded from 18 epilepsy patients while performing motor control, listening, and visual perception tasks. In this study, we first categorize HGA into HGA types based on the cognitive/behavioral task. For e

SUBMITTER: Gruenwald J 

PROVIDER: S-EPMC10440607 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature