Open Access

Sean N. Hatton, Khoa H. Huynh, Leonardo Bonilha, Eugenio Cecilio Abela, Saud Alhusaini, André Altmann, Marina K. M. Alvim, Akshara R. Balachandra, Emanuele Bartolini, Benjamin Bender, Neda Bernasconi, Andrea Bernasconi, Boris Bernhardt, Núria Bargallo, Benoit Caldairou, Maria Eugenia Caligiuri, Sarah J. A. 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, Akari Ishikawa, Simon S. Keller, Peter V. Kochunov, Raviteja Kotikalapudi, Barbara A. K. Kreilkamp, Patrick Kwan, Angelo Labate, Sönke Langner, Matteo Lenge, Min Liu, Elaine Lui, Pascal Martin, Mario Mascalchi, José Carlos Vasques Moreira, Marcia Elisabete Morita-Sherman, Terence J. O’Brien, Heath R. Pardoe, José Carlos Pariente Zorrilla, Letı́cia F. Ribeiro, Mark Philip Richardson, Cristiane S. Rocha, Raúl Rodrı́guez-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

• 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<0.001). Across “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.