Associations between epilepsy-related polygenic risk and brain morphology in childhood

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Authors: Ngo, Alexander, Liu, Lang, Sara Larivière, Kebets, Valeria, Fett, Serena, Weber, Clara F, Royer, Jessica, Yu, Eric, Rodríguez-Cruces, Raúl, Zhiqiang Zhang, Ooi, Leon Qi Rong, B.T. Thomas Yeo
+74 more Frauscher, Birgit, Casey Paquola, Caligiuri, Maria Eugenia, Antonio Gambardella, Luis Concha, Keller, Simon S, Fernando Cendes, Clarissa Lin Yasuda, Bonilha, Leonardo, Gleichgerrcht, Ezequiel, Niels K. Focke, Kotikalapudi, Raviteja, O’Brien, Terence J, Benjamin Sinclair, Lucy E. Vivash, Desmond, Patricia M, Lui, Elaine, Anna Elisabetta Vaudano, Stefano Meletti, Kälviäinen, Reetta, Soltanian-Zadeh, Hamid, Gavin Paul Winston, Tiwari, Vijay K, Barbara A. K. Kreilkamp, Matteo Lenge, Renzo Guerrini, Khalid Hamandi, Theodor Rüber, Bauer, Tobias, Orrin Devinsky, Pasquale Striano, Kaestner, Erik, Lorenzo Caciagli, Sean N. Hatton, Kirschner, Matthias, John Sidney Duncan, Paul M. Thompson, Abela, Eugenio, Absil, Julie, Alhusaini, Saud, Carr, Sarah J A, Gianpiero L. Cavalleri, Davoodi-Bojd, Esmaeil, Delanty, Norman, Chantal Depondt, Doherty, Colin P, Domin, Martin, Foley, Sonya, Griffin, Aoife, Graeme D. Jackson, Kowalczyk, Magdalena, Labate, Angelo, Langner, Soenke, Mascalchi, Mario, Martin, Pascal, Mark Philip Richardson, Rummel, Christian, Semmelroch, Mira, Mariasavina Severino, Singh, Aditi, Rhys Huw Thomas, Tondelli, Manuela, Tortora, Domenico, von Podewills, Felix, Sjoerd B. Vos, Whelan, Christopher D, Roland Wiest, Zhang, Junsong, McDonald, Carrie R, Sanjay M. Sisodiya, Neda Bernasconi, Neda Bernasconi, Ziv Gan‐Or, Boris C. Bernhardt
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Abstract

Extensive neuroimaging research in temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) has identified brain atrophy as a disease phenotype. While it is also related to a complex genetic architecture, the transition from genetic risk factors to brain vulnerabilities remains unclear. Using a population-based approach, we examined the associations between epilepsy-related polygenic risk for HS (PRS-HS) and brain structure in healthy developing children, assessed their relation to brain network architecture, and evaluated its correspondence with case-control findings in TLE-HS diagnosed patients relative to healthy individualsWe used genome-wide genotyping and structural T1-weighted magnetic resonance imaging (MRI) of 3,826 neurotypical children from the Adolescent Brain Cognitive Development (ABCD) study. Surface-based linear models related PRS-HS to cortical thickness measures, and subsequently contextualized findings with structural and functional network architecture based on epicentre mapping approaches. Imaging-genetic associations were then correlated to atrophy and disease epicentres in 785 patients with TLE-HS relative to 1,512 healthy controls aggregated across multiple sites.Higher PRS-HS was associated with decreases in cortical thickness across temporo-parietal as well as fronto-central regions of neurotypical children. These imaging-genetic effects were anchored to the connectivity profiles of distinct functional and structural epicentres. Compared with disease-related alterations from a separate epilepsy cohort, regional and network correlates of PRS-HS strongly mirrored cortical atrophy and disease epicentres observed in patients with TLE-HS, and highly replicable across different studies. Findings were consistent when using statistical models controlling for spatial autocorrelations and robust to variations in analytic methods.Capitalizing on recent imaging-genetic initiatives, our study provides novel insights into the genetic underpinnings of structural alterations in TLE-HS, revealing common morphological and network pathways between genetic vulnerability and disease mechanisms. These signatures offer a foundation for early risk stratification and personalized interventions targeting genetic profiles in epilepsy.

Fields of Study & Subjects

Epilepsy research and treatment Genetic Associations and Epidemiology Functional Brain Connectivity Studies

Publication details

Journal / source
Brain
Publication date
1 January 2026
Language
EN