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Structural network alterations in focal and generalized epilepsy follow axes of epilepsy risk gene expression: An ENIGMA study

Authors :
Pasquale Striano
Fernando Cendes
Luis Concha
Rhys H. Thomas
Mario Mascalchi
John S. Duncan
Neda Bernasconi
Leornado Bonilha
Patricia Desmond
Stefano Meletti
Boris C. Bernhardt
Andrea Bernasconi
Khalid Hamandi
Manuela Tondelli
Simon S. Keller
Christian Rummel
Mark P. Richardson
Sara Larivière
Ezequiel Gleichgerrcht
Sjoerd B. Vos
Gianpiero L. Cavalleri
Raúl Rodríguez-Cruces
Mira K.H.G. Semmelroch
Matteo Lenge
Angelo Labate
Julie Absil
Benjamin Sinclair
Eugenio Abela
Sean N. Hatton
Soenke Langner
Carrie R. McDonald
Hamid Soltanian-Zadeh
Anna Elisabetta Vaudano
Renzo Guerrini
Roland Wiest
Christopher D. Whelan
Barbara A. K. Kreilkamp
Raviteja Kotikalapudi
Sonya Foley
Domenico Tortora
Martin Domin
Lorenzo Caciagli
Jessica Royer
Lucy Vivash
Colin P. Doherty
Graeme D. Jackson
Mariasavina Severino
Esmaeil Davoodi-Bojd
Sanjay M. Sisodiya
Orrin Devinsky
Magdalena A. Kowalczyk
Maria Eugenia Caligiuri
Clarissa L. Yasuda
Niels K. Focke
Paul M. Thompson
Elaine Lui
Reetta Kälviäinen
Felix von Podewills
Norman Delanty
Terence J. O'Brien
Pascal Martin
Chantal Depondt
Sarah Ja Carr
Theodor Rüber
Saud Alhusaini
Bernd Weber
Junsong Zhang
Antonio Gambardella
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

Epilepsy is associated with genetic risk factors and cortico-subcortical network alterations, but associations between neurobiological mechanisms and macroscale connectomics remain unclear. This multisite ENIGMA-Epilepsy study examined whole-brain structural covariance networks in patients with epilepsy and related findings to postmortem co-expression patterns of epilepsy risk genes. Brain network analysis included 578 adults with temporal lobe epilepsy (TLE), 288 adults with idiopathic generalized epilepsy (IGE), and 1,328 healthy controls from 18 centres worldwide. Graph theoretical analysis of structural covariance networks revealed increased clustering and path length in orbitofrontal and temporal regions in TLE, suggesting a shift towards network regularization. Conversely, people with IGE showed decreased clustering and path length in fronto-temporo-parietal cortices, indicating a random network configuration. Syndrome-specific topological alterations reflected expression patterns of risk genes for hippocampal sclerosis in TLE and for generalized epilepsy in IGE. These imaging-genetic signatures could guide diagnosis, and ultimately, tailor therapeutic approaches to specific epilepsy syndromes.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........d4841ef933069ec8e11356454186e059