Seizure onset zone (SoZ) identification from interictal intracranial electroencephalogram.

ABSTRACT: Accurate localization of the seizure onset zone (SoZ) is critical for effective surgical treatment in drug-resistant epilepsy. Traditional SoZ biomarkers, such as interictal epileptiform discharges (IEDs), high-frequency oscillation (HFO) rate, and relative band power (RBP), often fail to capture the complex network dynamics underlying seizure generation fully. We analyzed graph-based centrality measures using the novel frequency-domain convergent cross mapping (FD-CCM) technique and found that SoZ regions exhibited significantly lower centrality values compared to the non-SoZ areas, with strong statistical significance ([Formula: see text] [Formula: see text]). This reduced centrality remains a marginally explored biomarker for SoZ localization. A multi-layer perceptron (MLP) classifier w

SUBMITTER: Balaji SS 

PROVIDER: S-EPMC12624082 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature