Evidence map›Paper›PMID 41942808›Full record

ArticleBrain imaging and behavior2026

Mendelian randomization and clinical retrospective radiomics study reveal causal relationships between brain imaging-derived phenotypes and epilepsy risk.

Huanhua Wu, Chulan Ou, Yuelong Yang, Caihong Zhou, Xiaozheng Cao, Yao Tan

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Article in Brain imaging and behavior, 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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1 · What the graph read from it

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5 · Who and what money

Authors and funding

6 authors.

Huanhua Wu *Department of Nuclear Medicine, Central People's Hospital of Zhanjiang, Guangdong Medical University Zhanjiang Central Hospital, Zhanjiang, Guangdong Province, 524045, P.R. China.
Chulan Ou *School of Medicine, South China University of Technology, Guangzhou, 510006, P. R. China.
Yuelong YangDepartment of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, P.R. China.
Caihong ZhouYuebei People's Hospital, Shaoguan, Guangdong, 512026, P.R. China.
Xiaozheng CaoCentral Laboratory, The Affiliated Shunde Hospital of Jinan University, Foshan, Guangdong Province, 528305, P.R. China.
Yao TanDepartment of Ophthalmology, The Third Xiangya Hospital, Central South University, No. 138 Tongzipo Road, Yuelu District, Changsha, Hunan Province, 410000, P.R. China. tanyao2000@qq.com.

Funding

Medical Joint Fund of Jinan University YXZY2024020Natural Science Foundation of Hunan Province 2024JJ6609Postdoctoral Fellowship Program of CPSF GZC20233180Scientific and Technological Project of Foshan City 2420001004035
6 · The paper itself

Abstract

This study investigates the causal relationships between brain imaging-derived phenotypes (IDPs) and epilepsy risk by integrating Mendelian randomization (MR) analysis and radiomics-based validation using brain magnetic resonance imaging (MRI) data. Two-sample MR analysis, leveraging genome-wide association study (GWAS) data, revealed that higher fractional anisotropy (FA) in the right posterior thalamic radiation significantly increases epilepsy risk (HR = 1.31, 95% CI: 1.16–1.49), while larger volumes of the right pallidum exert a protective effect (HR = 0.67, 95% CI: 0.55–0.80). Radiomics analysis of T1-weighted MRI images identified key structural features in these brain regions, which were incorporated into machine learning models for robust epilepsy risk prediction, confirming the MR findings. These results provide novel insights into the structural mechanisms underlying epilepsy, emphasizing the right posterior thalamic radiation and right pallidum as key regions influencing risk. By integrating MR and radiomics approaches, this study highlights the potential of imaging-genetics methodologies in advancing our understanding of epilepsy and improving clinical decision-making.

Indexed as

BrainEpilepsyFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleMendelian Randomization AnalysisPhenotypeRadiomicsRetrospective StudiesBrainCausalityEpilepsyMendelian randomization analysisRadiomics

Identifiers

PMID41942808

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.