ArticleFrontiers in neuroscience2026
Prediction of glioma-related epilepsy by Brain Age Index: a multicenter study.
Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Glioma frequently induces widespread structural and functional alterations extending beyond the tumor site, with epilepsy being one of its most common clinical manifestations. Conventional brain-age models are rarely applied to neurosurgical diseases because focal structural damage violates the assumption of global anatomical integrity. To address this limitation, we propose a novel Brain Age Index (BAI) that integrates bias-corrected brain-age estimations with chronological-age normalization, computed exclusively from non-tumorous brain regions. Using T1-weighted MRI data from 307 glioma patients across three centers and 671 healthy controls, we trained a residual convolutional neural network model for brain-age prediction (mean absolute error, 3.35 ± 4.19 years) and derived the BAI to quantify systemic cerebral alterations. Glioma patients exhibited significantly higher BAI values than healthy controls (
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