Optimizing automated detection of high frequency oscillations using visual markings does not improve SOZ localization.

ABSTRACT:

Objective

High frequency oscillations (HFOs) are a biomarker of the seizure onset zone (SOZ) and can be visually or automatically detected. In theory, one can optimize an automated algorithm's parameters to maximize SOZ localization accuracy; however, there is no consensus on whether or how this should be done. Therefore, we optimized an automated detector using visually identified HFOs and evaluated the impact on SOZ localization accuracy.

Methods

We detected HFOs in intracranial EEG from 20 patients with refractory epilepsy from two centers using (1) unoptimized automated detection, (2) visual identification, and (3) automated detection optimized to match visually detected HFOs.

Results

SOZ localization accuracy based on HFO rate was not significantly different betw

SUBMITTER: Mendoza T 

PROVIDER: S-EPMC11798584 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature