Noninvasive Detection of Hippocampal Epileptiform Activity on Scalp Electroencephalogram.

ABSTRACT:

Importance

The hippocampus is a highly epileptogenic brain region, yet over 90% of hippocampal epileptiform activity (HEA) cannot be identified on scalp electroencephalogram (EEG) by human experts. Currently, detection of HEA requires intracranial electrodes, which limits our understanding of the role of HEA in brain diseases.

Objective

To develop and validate a machine learning algorithm that accurately detects HEA from a standard scalp EEG, without the need for intracranial electrodes.

Design, setting, and participants

In this diagnostic study, conducted from 2008 to 2021, EEG data were used from patients with temporal lobe epilepsy (TLE) and healthy controls (HCs) to train and validate a deep neural network, HEAnet, to detect HEA on scalp EEG. Participants were eva

SUBMITTER: Abou Jaoude M 

PROVIDER: S-EPMC9062772 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature