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White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study

Authors :
Khoa H Huynh
José C. V. Moreira
Heath R. Pardoe
Akshara R. Balachandra
Antonio Gambardella
Lucy Vivash
Min Liu
Akari Ishikawa
Eugenio Abela
Sjoerd B. Vos
Alyssa H. Zhu
Hamid Soltanian-Zadeh
Sanjay M. Sisodiya
Orrin Devinsky
Andre Altmann
Colin P. Doherty
Fernando Cendes
Jose C. Pariente
Benjamin Bender
Ezequiel Gleichgerrcht
Benjamin Sinclair
Marcia Morita-Sherman
Felix von Podewils
Barbara A. K. Kreilkamp
Peter Kochunov
Dennis Velakoulis
Núria Bargalló
Mark P. Richardson
Elaine Lui
Boris C. Bernhardt
Rhys H. Thomas
Maria Eugenia Caligiuri
Leonardo Bonilha
Peter N Taylor
Gavin P. Winston
Cristiane S. Rocha
Sean N. Hatton
Soenke Langner
Marina K. M. Alvim
Pascal Martin
Neda Jahanshad
Terence J. O'Brien
Mariasavina Severino
Esmaeil Davoodi-Bojd
Pasquale Striano
Gianpiero L. Cavalleri
Raviteja Kotikalapudi
Emanuele Bartolini
Raúl Rodríguez-Cruces
Sonya Foley
Mario Mascalchi
Sarah J. A. Carr
Bernd Weber
Neda Bernasconi
Letícia F. Ribeiro
Renzo Guerrini
Matteo Lenge
Andrea Bernasconi
Clarissa L. Yasuda
Niels K. Focke
Khalid Hamandi
Martin Domin
Carrie R. McDonald
Benoit Caldairou
Patricia Desmond
Christopher D. Whelan
Annamaria Vezzani
Domenico Tortora
Simon S. Keller
Paul M. Thompson
Patrick Kwan
Saud Alhusaini
Luis Concha
John S. Duncan
Angelo Labate
Felix Rosenow
Source :
BRAIN, Brain : a journal of neurology, Brain
Publication Year :
2019

Abstract

The epilepsies are commonly accompanied by widespread abnormalities in cerebral white matter. ENIGMA-Epilepsy is a large quantitative brain imaging consortium, aggregating data to investigate patterns of neuroimaging abnormalities in common epilepsy syndromes, including temporal lobe epilepsy, extratemporal epilepsy, and genetic generalized epilepsy. Our goal was to rank the most robust white matter microstructural differences across and within syndromes in a multicentre sample of adult epilepsy patients. Diffusion-weighted MRI data were analysed from 1069 healthy controls and 1249 patients: temporal lobe epilepsy with hippocampal sclerosis (n = 599), temporal lobe epilepsy with normal MRI (n = 275), genetic generalized epilepsy (n = 182) and non-lesional extratemporal epilepsy (n = 193). A harmonized protocol using tract-based spatial statistics was used to derive skeletonized maps of fractional anisotropy and mean diffusivity for each participant, and fibre tracts were segmented using a diffusion MRI atlas. Data were harmonized to correct for scanner-specific variations in diffusion measures using a batch-effect correction tool (ComBat). Analyses of covariance, adjusting for age and sex, examined differences between each epilepsy syndrome and controls for each white matter tract (Bonferroni corrected at P

Details

ISSN :
14602156
Volume :
143
Issue :
8
Database :
OpenAIRE
Journal :
Brain : a journal of neurology
Accession number :
edsair.doi.dedup.....4a91a89f29efff0dd7635552a3052342