Independent component analysis reveals dynamic ictal BOLD responses in EEG-fMRI data from focal epilepsy patients.

ABSTRACT:

Introduction

Seizures occur rarely during EEG-fMRI acquisitions of epilepsy patients, but can potentially offer a better estimation of the epileptogenic zone than interictal activity. Independent component analysis (ICA) is a data-driven method that imposes minimal constraints on the hemodynamic response function (HRF). In particular, the investigation of HRFs with clear peaks, but varying latency, may be used to differentiate the ictal focus from propagated activity.

Methods

ICA was applied on ictal EEG-fMRI data from 15 patients. Components related to seizures were identified by fitting an HRF to the component time courses at the time of the ictal EEG events. HRFs with a clear peak were used to derive maps of significant BOLD responses and their associated peak delay. The

SUBMITTER: LeVan P 

PROVIDER: S-EPMC3779215 | biostudies-literature | 2010 Jan

REPOSITORIES: biostudies-literature