Computational EEG attributes predict response to therapy for epileptic spasms.

ABSTRACT:

Objective

We set out to evaluate whether response to treatment for epileptic spasms is associated with specific candidate computational EEG biomarkers, independent of clinical attributes.

Methods

We identified 50 children with epileptic spasms, with pre- and post-treatment overnight video-EEG. After EEG samples were preprocessed in an automated fashion to remove artifacts, we calculated amplitude, power spectrum, functional connectivity, entropy, and long-range temporal correlations (LRTCs). To evaluate the extent to which each feature is independently associated with response and relapse, we conducted logistic and proportional hazards regression, respectively.

Results

After statistical adjustment for the duration of epileptic spasms prior to treatment, we observed an

SUBMITTER: Rajaraman RR 

PROVIDER: S-EPMC12525723 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature