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Dataset Information

Intracranial electroencephalographic biomarker predicts effective responsive neurostimulation for epilepsy prior to treatment.


ABSTRACT:

Objective

Despite the overall success of responsive neurostimulation (RNS) therapy for drug-resistant focal epilepsy, clinical outcomes in individuals vary significantly and are hard to predict. Biomarkers that indicate the clinical efficacy of RNS-ideally before device implantation-are critically needed, but challenges include the intrinsic heterogeneity of the RNS patient population and variability in clinical management across epilepsy centers. The aim of this study is to use a multicenter dataset to evaluate a candidate biomarker from intracranial electroencephalographic (iEEG) recordings that predicts clinical outcome with subsequent RNS therapy.

Methods

We assembled a federated dataset of iEEG recordings, collected prior to RNS implantation, from a retrospective cohort

SUBMITTER: Scheid BH 

PROVIDER: S-EPMC9887634 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature