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ABSTRACT: Aims
To differentiate patients with temporal plus epilepsy (TPE) with insular involvement from those with temporal lobe epilepsy (TLE) using brain network analysis based on noninvasive assessments.Method
TLE and TPE patients were retrospectively selected and matched using propensity score matching (PSM) analysis. Metabolic networks for each patient were constructed utilizing 18F-fluorodeoxyglucose-positron emission tomography, and graphic theory was applied for network analysis. Additionally, brain networks from scalp electroencephalography were assessed through recurrence quantification analysis (RQA). Graphic theoretical and RQA metrics were compared between the cohorts, and an extreme gradient boosting (XGBoost) classifier using graphic theoretical and RQA met
SUBMITTER: Hu X
PROVIDER: S-EPMC12264451 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature