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

Authors :
Sean N Hatton
Khoa H Huynh
Leonardo Bonilha
Eugenio Abela
Saud Alhusaini
Andre Altmann
Marina KM Alvim
Akshara R Balachandra
Emanuele Bartolini
Benjamin Bender
Neda Bernasconi
Andrea Bernasconi
Boris Bernhardt
Núria Bargallo
Benoit Caldairou
Maria Eugenia Caligiuri
Sarah JA Carr
Gianpiero L Cavalleri
Fernando Cendes
Luis Concha
Esmaeil Davoodi-bojd
Patricia M Desmond
Orrin Devinsky
Colin P Doherty
Martin Domin
John S Duncan
Niels K Focke
Sonya F Foley
Antonio Gambardella
Ezequiel Gleichgerrcht
Renzo Guerrini
Khalid Hamandi
Akaria Ishikawa
Simon S Keller
Peter V Kochunov
Raviteja Kotikalapudi
Barbara AK Kreilkamp
Patrick Kwan
Angelo Labate
Soenke Langner
Matteo Lenge
Min Liu
Elaine Lui
Pascal Martin
Mario Mascalchi
José CV Moreira
Marcia E Morita-Sherman
Terence J O’Brien
Heath R Pardoe
José C Pariente
Letícia F Ribeiro
Mark P Richardson
Cristiane S Rocha
Raúl Rodríguez-Cruces
Felix Rosenow
Mariasavina Severino
Benjamin Sinclair
Hamid Soltanian-Zadeh
Pasquale Striano
Peter N Taylor
Rhys H Thomas
Domenico Tortora
Dennis Velakoulis
Annamaria Vezzani
Lucy Vivash
Felix von Podewils
Sjoerd B Vos
Bernd Weber
Gavin P Winston
Clarissa L Yasuda
Paul M Thompson
Neda Jahanshad
Sanjay M Sisodiya
Carrie R McDonald
Publication Year :
2019
Publisher :
Cold Spring Harbor Laboratory, 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 analyzed from 1,069 non-epileptic controls and 1,249 patients: temporal lobe epilepsy with hippocampal sclerosis (N=599), temporal lobe epilepsy with normal MRI (N=275), genetic generalized epilepsy (N=182) and nonlesional 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 fiber 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“all epilepsies” lower fractional anisotropy was observed in most fiber tracts with small to medium effect sizes, especially in the corpus callosum, cingulum and external capsule. Less robust effects were seen with mean diffusivity. Syndrome-specific fractional anisotropy and mean diffusivity differences were most pronounced in patients with hippocampal sclerosis in the ipsilateral parahippocampal cingulum and external capsule, with smaller effects across most other tracts. Those with temporal lobe epilepsy and normal MRI showed a similar pattern of greater ipsilateral than contralateral abnormalities, but less marked than those in patients with hippocampal sclerosis. Patients with generalized and extratemporal epilepsies had pronounced differences in fractional anisotropy in the corpus callosum, corona radiata and external capsule, and in mean diffusivity of the anterior corona radiata. Earlier age of seizure onset and longer disease duration were associated with a greater extent of microstructural abnormalities in patients with hippocampal sclerosis. We demonstrate microstructural abnormalities across major association, commissural, and projection fibers in a large multicentre study of epilepsy. Overall, epilepsy patients showed white matter abnormalities in the corpus callosum, cingulum and external capsule, with differing severity across epilepsy syndromes. These data further define the spectrum of white matter abnormalities in common epilepsy syndromes, yielding new insights into pathological substrates that may be used to guide future therapeutic and genetic studies.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....61639265d8c7e74a4cd17db46b684f54