A novel method for estimating functional connectivity from EEG coherence potentials.

ABSTRACT: Analysis of functional connectivity can provide insights into how the brain performs various cognitive and behavioral tasks as well as the neural mechanisms underlying several pathologies. In this work, we describe a novel approach to estimate functional connectivity from electroencephalography (EEG) data using the concept of coherence potentials (CPs), which are defined as clusters of high-amplitude deflections with similar waveform shapes. We define connectivity measures based on features of CPs, including the time intervals between CP peaks and their co-occurrence on different electrodes or channels. We used EEG data from 25 healthy subjects performing three tasks - resting state (eyes closed and eyes open), working memory and pattern completion tasks to investigate the ability of CP ba

SUBMITTER: Puthanmadam Subramaniyam N 

PROVIDER: S-EPMC11953265 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature