Identification of four biotypes in temporal lobe epilepsy via machine learning on brain images
Most Cited Paper
in Epilepsy research and treatment
18 Months Post-Publication
Class of 2026
“Identification of four biotypes in temporal lobe epilepsy via machine learning on brain images”
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Topics
temporal lobe epilepsy · Subtype and Stage Inference (SuStaIn) · machine learning · structural MRI · biotypes · Hippocampal atrophy · amygdala enlargement · neocortex atrophy · disease subtyping · Phenotypic heterogeneity · pathobiological progression · seizure outcomes · Temporal lobe surgery · focal epilepsy · neuroanatomical signature · cross-sectional imaging · stratification · Treatment response · Disease progression modeling · Chinese Clinical Trials Registry
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Epilepsy research and treatment Papers, Class of 2026. https://pri.pepkio.com/top-papers/epilepsy-research-and-treatment/2026. Accessed 2026-08-20. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459