Automated long-term EEG analysis to localize the epileptogenic zone.

ABSTRACT:

Objective

We investigated the performance of automatic spike detection and subsequent electroencephalogram (EEG) source imaging to localize the epileptogenic zone (EZ) from long-term EEG recorded during video-EEG monitoring.

Methods

In 32 patients, spikes were automatically detected in the EEG and clustered according to their morphology. The two spike clusters with most single events in each patient were averaged and localized in the brain at the half-rising time and peak of the spike using EEG source imaging. On the basis of the distance from the sources to the resection and the known patient outcome after surgery, the performance of the automated EEG analysis to localize the EZ was quantified.

Results

In 28 out of the 32 patients, the automatically detected spike cl

SUBMITTER: van Mierlo P 

PROVIDER: S-EPMC5862106 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature