% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Ngo:1052164,
author = {Ngo, Alexander and Liu, Lang and Larivière, Sara and
Kebets, Valeria and Fett, Serena and Weber, Clara F and
Royer, Jessica and Yu, Eric and Rodríguez-Cruces, Raúl and
Zhang, Zhiqiang and Ooi, Leon Qi Rong and Yeo, B T Thomas
and Frauscher, Birgit and Paquola, Casey and Caligiuri,
Maria Eugenia and Gambardella, Antonio and Concha, Luis and
Keller, Simon S and Cendes, Fernando and Yasuda, Clarissa L
and Bonilha, Leonardo and Gleichgerrcht, Ezequiel and Focke,
Niels K and Kotikalapudi, Raviteja and O’Brien, Terence J
and Sinclair, Benjamin and Vivash, Lucy and Desmond,
Patricia M and Lui, Elaine and Vaudano, Anna Elisabetta and
Meletti, Stefano and Kälviäinen, Reetta and
Soltanian-Zadeh, Hamid and Winston, Gavin P and Tiwari,
Vijay K and Kreilkamp, Barbara A K and Lenge, Matteo and
Guerrini, Renzo and Hamandi, Khalid and Rüber, Theodor and
Bauer, Tobias and Devinsky, Orrin and Striano, Pasquale and
Kaestner, Erik and Caciagli, Lorenzo and Hatton, Sean N and
Kirschner, Matthias and Duncan, John S and Thompson, Paul M
and Abela, Eugenio and Absil, Julie and Alhusaini, Saud and
Carr, Sarah J A and Cavalleri, Gianpiero L and Davoodi-Bojd,
Esmaeil and Delanty, Norman and Depondt, Chantal and
Doherty, Colin P and Domin, Martin and Foley, Sonya and
Griffin, Aoife and Jackson, Graeme D and Kowalczyk,
Magdalena and Labate, Angelo and Langner, Soenke and
Mascalchi, Mario and Martin, Pascal and Richardson, Mark P
and Rummel, Christian and Semmelroch, Mira and Severino,
Mariasavina and Singh, Aditi and Thomas, Rhys H and
Tondelli, Manuela and Tortora, Domenico and von Podewills,
Felix and Vos, Sjoerd B and Whelan, Christopher D and Wiest,
Roland and Zhang, Junsong and McDonald, Carrie R and
Sisodiya, Sanjay M and Bernasconi, Neda and Bernasconi,
Andrea and Gan-Or, Ziv and Bernhardt, Boris C},
title = {{A}ssociations between epilepsy-related polygenic risk and
brain morphology in childhood},
journal = {Brain},
volume = {.},
issn = {0006-8950},
address = {Oxford},
publisher = {Oxford Univ. Press},
reportid = {FZJ-2026-00802},
pages = {awaf259},
year = {2025},
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.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525)},
pid = {G:(DE-HGF)POF4-5251},
typ = {PUB:(DE-HGF)16},
doi = {10.1093/brain/awaf259},
url = {https://juser.fz-juelich.de/record/1052164},
}