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3. Event‐based modeling in temporal lobe epilepsy demonstrates progressive atrophy from cross‐sectional data

Author

Lopez, Seymour M, Aksman, Leon M, Oxtoby, Neil P, Vos, Sjoerd B, Rao, Jun, Kaestner, Erik, Alhusaini, Saud, Alvim, Marina, Bender, Benjamin, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Bonilha, Leonardo, Caciagli, Lorenzo, Caldairou, Benoit, Caligiuri, Maria Eugenia, Calvet, Angels, Cendes, Fernando, Concha, Luis, Conde‐Blanco, Estefania, Davoodi‐Bojd, Esmaeil, de Bézenac, Christophe, Delanty, Norman, Desmond, Patricia M, Devinsky, Orrin, Domin, Martin, Duncan, John S, Focke, Niels K, Foley, Sonya, Fortunato, Francesco, Galovic, Marian, Gambardella, Antonio, Gleichgerrcht, Ezequiel, Guerrini, Renzo, Hamandi, Khalid, Ives‐Deliperi, Victoria, Jackson, Graeme D, Jahanshad, Neda, Keller, Simon S, Kochunov, Peter, Kotikalapudi, Raviteja, Kreilkamp, Barbara AK, Labate, Angelo, Larivière, Sara, Lenge, Matteo, Lui, Elaine, Malpas, Charles, Martin, Pascal, Mascalchi, Mario, Medland, Sarah E, Meletti, Stefano, Morita‐Sherman, Marcia E, Owen, Thomas W, Richardson, Mark, Riva, Antonella, Rüber, Theodor, Sinclair, Ben, Soltanian‐Zadeh, Hamid, Stein, Dan J, Striano, Pasquale, Taylor, Peter N, Thomopoulos, Sophia I, Thompson, Paul M, Tondelli, Manuela, Vaudano, Anna Elisabetta, Vivash, Lucy, Wang, Yujiang, Weber, Bernd, Whelan, Christopher D, Wiest, Roland, Winston, Gavin P, Yasuda, Clarissa Lin, McDonald, Carrie R, Alexander, Daniel C, Sisodiya, Sanjay M, Altmann, Andre, Bargalló, Núria, Bartolini, Emanuele, O’Brien, Terence J, and Thomas, Rhys H

Subjects
Brain Disorders, Epilepsy, Neurodegenerative, Neurosciences, Clinical Research, Biomedical Imaging, Aetiology, 2.1 Biological and endogenous factors, Neurological, Good Health and Well Being, Atrophy, Biomarkers, Cross-Sectional Studies, Epilepsy, Temporal Lobe, Hippocampus, Humans, Magnetic Resonance Imaging, Sclerosis, disease progression, duration of illness, event-based model, MTLE, patient staging, ENIGMA-Epilepsy Working Group, Clinical Sciences, Neurology & Neurosurgery
Abstract

ObjectiveRecent work has shown that people with common epilepsies have characteristic patterns of cortical thinning, and that these changes may be progressive over time. Leveraging a large multicenter cross-sectional cohort, we investigated whether regional morphometric changes occur in a sequential manner, and whether these changes in people with mesial temporal lobe epilepsy and hippocampal sclerosis (MTLE-HS) correlate with clinical features.MethodsWe extracted regional measures of cortical thickness, surface area, and subcortical brain volumes from T1-weighted (T1W) magnetic resonance imaging (MRI) scans collected by the ENIGMA-Epilepsy consortium, comprising 804 people with MTLE-HS and 1625 healthy controls from 25 centers. Features with a moderate case-control effect size (Cohen d ≥ .5) were used to train an event-based model (EBM), which estimates a sequence of disease-specific biomarker changes from cross-sectional data and assigns a biomarker-based fine-grained disease stage to individual patients. We tested for associations between EBM disease stage and duration of epilepsy, age at onset, and antiseizure medicine (ASM) resistance.ResultsIn MTLE-HS, decrease in ipsilateral hippocampal volume along with increased asymmetry in hippocampal volume was followed by reduced thickness in neocortical regions, reduction in ipsilateral thalamus volume, and finally, increase in ipsilateral lateral ventricle volume. EBM stage was correlated with duration of illness (Spearman ρ = .293, p = 7.03 × 10-16 ), age at onset (ρ = -.18, p = 9.82 × 10-7 ), and ASM resistance (area under the curve = .59, p = .043, Mann-Whitney U test). However, associations were driven by cases assigned to EBM Stage 0, which represents MTLE-HS with mild or nondetectable abnormality on T1W MRI.SignificanceFrom cross-sectional MRI, we reconstructed a disease progression model that highlights a sequence of MRI changes that aligns with previous longitudinal studies. This model could be used to stage MTLE-HS subjects in other cohorts and help establish connections between imaging-based progression staging and clinical features.

Published
2022

5. Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy

Author

Park, Bo-yong, Larivière, Sara, Rodríguez-Cruces, Raul, Royer, Jessica, Tavakol, Shahin, Wang, Yezhou, Caciagli, Lorenzo, Caligiuri, Maria Eugenia, Gambardella, Antonio, Concha, Luis, Keller, Simon S, Cendes, Fernando, Alvim, Marina KM, Yasuda, Clarissa, Bonilha, Leonardo, Gleichgerrcht, Ezequiel, Focke, Niels K, Kreilkamp, Barbara AK, Domin, Martin, von Podewils, Felix, Langner, Soenke, Rummel, Christian, Rebsamen, Michael, Wiest, Roland, Martin, Pascal, Kotikalapudi, Raviteja, Bender, Benjamin, O’Brien, Terence J, Law, Meng, Sinclair, Benjamin, Vivash, Lucy, Kwan, Patrick, Desmond, Patricia M, Malpas, Charles B, Lui, Elaine, Alhusaini, Saud, Doherty, Colin P, Cavalleri, Gianpiero L, Delanty, Norman, Kälviäinen, Reetta, Jackson, Graeme D, Kowalczyk, Magdalena, Mascalchi, Mario, Semmelroch, Mira, Thomas, Rhys H, Soltanian-Zadeh, Hamid, Davoodi-Bojd, Esmaeil, Zhang, Junsong, Lenge, Matteo, Guerrini, Renzo, Bartolini, Emanuele, Hamandi, Khalid, Foley, Sonya, Weber, Bernd, Depondt, Chantal, Absil, Julie, Carr, Sarah JA, Abela, Eugenio, Richardson, Mark P, Devinsky, Orrin, Severino, Mariasavina, Striano, Pasquale, Parodi, Costanza, Tortora, Domenico, Hatton, Sean N, Vos, Sjoerd B, Duncan, John S, Galovic, Marian, Whelan, Christopher D, Bargalló, Núria, Pariente, Jose, Conde-Blanco, Estefania, Vaudano, Anna Elisabetta, Tondelli, Manuela, Meletti, Stefano, Kong, Xiang‐Zhen, Francks, Clyde, Fisher, Simon E, Caldairou, Benoit, Ryten, Mina, Labate, Angelo, Sisodiya, Sanjay M, Thompson, Paul M, McDonald, Carrie R, Bernasconi, Andrea, Bernasconi, Neda, and Bernhardt, Boris C

Subjects
Epilepsy, Neurodegenerative, Clinical Research, Brain Disorders, Neurosciences, Aetiology, 2.1 Biological and endogenous factors, Neurological, Adult, Atrophy, Connectome, Epilepsy, Temporal Lobe, Hippocampus, Humans, Magnetic Resonance Imaging, temporal lobe epilepsy, asymmetry, cortical thickness, multi-site, gradients, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

Temporal lobe epilepsy, a common drug-resistant epilepsy in adults, is primarily a limbic network disorder associated with predominant unilateral hippocampal pathology. Structural MRI has provided an in vivo window into whole-brain grey matter structural alterations in temporal lobe epilepsy relative to controls, by either mapping (i) atypical inter-hemispheric asymmetry; or (ii) regional atrophy. However, similarities and differences of both atypical asymmetry and regional atrophy measures have not been systematically investigated. Here, we addressed this gap using the multisite ENIGMA-Epilepsy dataset comprising MRI brain morphological measures in 732 temporal lobe epilepsy patients and 1418 healthy controls. We compared spatial distributions of grey matter asymmetry and atrophy in temporal lobe epilepsy, contextualized their topographies relative to spatial gradients in cortical microstructure and functional connectivity calculated using 207 healthy controls obtained from Human Connectome Project and an independent dataset containing 23 temporal lobe epilepsy patients and 53 healthy controls and examined clinical associations using machine learning. We identified a marked divergence in the spatial distribution of atypical inter-hemispheric asymmetry and regional atrophy mapping. The former revealed a temporo-limbic disease signature while the latter showed diffuse and bilateral patterns. Our findings were robust across individual sites and patients. Cortical atrophy was significantly correlated with disease duration and age at seizure onset, while degrees of asymmetry did not show a significant relationship to these clinical variables. Our findings highlight that the mapping of atypical inter-hemispheric asymmetry and regional atrophy tap into two complementary aspects of temporal lobe epilepsy-related pathology, with the former revealing primary substrates in ipsilateral limbic circuits and the latter capturing bilateral disease effects. These findings refine our notion of the neuropathology of temporal lobe epilepsy and may inform future discovery and validation of complementary MRI biomarkers in temporal lobe epilepsy.

Published
2022

6. The ENIGMA‐Epilepsy working group: Mapping disease from large data sets

Author

Sisodiya, Sanjay M, Whelan, Christopher D, Hatton, Sean N, Huynh, Khoa, Altmann, Andre, Ryten, Mina, Vezzani, Annamaria, Caligiuri, Maria Eugenia, Labate, Angelo, Gambardella, Antonio, Ives‐Deliperi, Victoria, Meletti, Stefano, Munsell, Brent C, Bonilha, Leonardo, Tondelli, Manuela, Rebsamen, Michael, Rummel, Christian, Vaudano, Anna Elisabetta, Wiest, Roland, Balachandra, Akshara R, Bargalló, Núria, Bartolini, Emanuele, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Caldairou, Benoit, Carr, Sarah JA, Cavalleri, Gianpiero L, Cendes, Fernando, Concha, Luis, Desmond, Patricia M, Domin, Martin, Duncan, John S, Focke, Niels K, Guerrini, Renzo, Hamandi, Khalid, Jackson, Graeme D, Jahanshad, Neda, Kälviäinen, Reetta, Keller, Simon S, Kochunov, Peter, Kowalczyk, Magdalena A, Kreilkamp, Barbara AK, Kwan, Patrick, Lariviere, Sara, Lenge, Matteo, Lopez, Seymour M, Martin, Pascal, Mascalchi, Mario, Moreira, José CV, Morita‐Sherman, Marcia E, Pardoe, Heath R, Pariente, Jose C, Raviteja, Kotikalapudi, Rocha, Cristiane S, Rodríguez‐Cruces, Raúl, Seeck, Margitta, Semmelroch, Mira KHG, Sinclair, Benjamin, Soltanian‐Zadeh, Hamid, Stein, Dan J, Striano, Pasquale, Taylor, Peter N, Thomas, Rhys H, Thomopoulos, Sophia I, Velakoulis, Dennis, Vivash, Lucy, Weber, Bernd, Yasuda, Clarissa Lin, Zhang, Junsong, Thompson, Paul M, McDonald, Carrie R, Abela, Eugenio, Absil, Julie, Adams, Sophia, Alhusaini, Saud, Alvim, Marina, Balestrini, Simona, Bender, Benjamin, Bergo, Felipe, Bernardes, Tauana, Calvo, Anna, Carreno, Mar, Cherubini, Andrea, David, Philippe, Davoodi‐Bojd, Esmaeil, Delanty, Norman, Depondt, Chantal, Devinsky, Orrin, Doherty, Colin, França, Wendy Caroline, Franceschet, Leticia, Hibar, Derrek P, Ishikawa, Akari, Kaestner, Erik, Langner, Soenke, Liu, Min, Mirandola, Laura, Naylor, Jillian, and Nazem‐Zadeh, Mohammad‐reza

Subjects
Brain Disorders, Biomedical Imaging, Neurosciences, Epilepsy, Neurodegenerative, 2.1 Biological and endogenous factors, Aetiology, Neurological, covariance, deep learning, DTI, event-based modeling, gene expression, genetics, imaging, MRI, quantitative, rsfMRI, ENIGMA Consortium Epilepsy Working Group, Cognitive Sciences, Experimental Psychology
Abstract

Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in the epilepsies. Smaller-scale studies have identified many interesting imaging phenomena, with implications both for understanding pathophysiology and improving clinical care. Through the infrastructure and concepts now well-established by the ENIGMA Consortium, ENIGMA-Epilepsy was established to strengthen epilepsy neuroscience by greatly increasing sample sizes, leveraging ideas and methods established in other ENIGMA projects, and generating a body of collaborating scientists and clinicians to drive forward robust research. Here we review published, current, and future projects, that include structural MRI, diffusion tensor imaging (DTI), and resting state functional MRI (rsfMRI), and that employ advanced methods including structural covariance, and event-based modeling analysis. We explore age of onset- and duration-related features, as well as phenomena-specific work focusing on particular epilepsy syndromes or phenotypes, multimodal analyses focused on understanding the biology of disease progression, and deep learning approaches. We encourage groups who may be interested in participating to make contact to further grow and develop ENIGMA-Epilepsy.

Published
2022

7. Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression

Author

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

Subjects
Neurodegenerative, Genetics, Neurosciences, Brain Disorders, Epilepsy, Aetiology, 2.1 Biological and endogenous factors, Neurological, Adult, Connectome, Epilepsy, Generalized, Epilepsy, Temporal Lobe, Gene Expression, Humans, Immunoglobulin E, Magnetic Resonance Imaging, Nerve Net
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 epilepsy risk gene expression patterns. Brain network analysis included 578 adults with temporal lobe epilepsy (TLE), 288 adults with idiopathic generalized epilepsy (IGE), and 1328 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-transcriptomic signatures could potentially guide diagnosis or tailor therapeutic approaches to specific epilepsy syndromes.

Published
2022

12. Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study

Author

Gleichgerrcht, Ezequiel, Munsell, Brent C, Alhusaini, Saud, Alvim, Marina KM, Bargalló, Núria, Bender, Benjamin, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Blackmon, Karen, Caligiuri, Maria Eugenia, Cendes, Fernando, Concha, Luis, Desmond, Patricia M, Devinsky, Orrin, Doherty, Colin P, Domin, Martin, Duncan, John S, Focke, Niels K, Gambardella, Antonio, Gong, Bo, Guerrini, Renzo, Hatton, Sean N, Kälviäinen, Reetta, Keller, Simon S, Kochunov, Peter, Kotikalapudi, Raviteja, Kreilkamp, Barbara AK, Labate, Angelo, Langner, Soenke, Larivière, Sara, Lenge, Matteo, Lui, Elaine, Martin, Pascal, Mascalchi, Mario, Meletti, Stefano, O'Brien, Terence J, Pardoe, Heath R, Pariente, Jose C, Rao, Jun Xian, Richardson, Mark P, Rodríguez-Cruces, Raúl, Rüber, Theodor, Sinclair, Ben, Soltanian-Zadeh, Hamid, Stein, Dan J, Striano, Pasquale, Taylor, Peter N, Thomas, Rhys H, Vaudano, Anna Elisabetta, Vivash, Lucy, von Podewills, Felix, Vos, Sjoerd B, Weber, Bernd, Yao, Yi, Yasuda, Clarissa Lin, Zhang, Junsong, Thompson, Paul M, Sisodiya, Sanjay M, McDonald, Carrie R, Bonilha, Leonardo, Group, ENIGMA-Epilepsy Working, Altmann, Andre, Depondt, Chantal, Galovic, Marian, Thomopoulos, Sophia I, and Wiest, Roland

Subjects
Biomedical Imaging, Neurodegenerative, Neurosciences, Brain Disorders, Prevention, Epilepsy, 2.1 Biological and endogenous factors, Aetiology, Neurological, Artificial Intelligence, Brain, Epilepsy, Temporal Lobe, Hippocampus, Humans, Magnetic Resonance Imaging, Sclerosis, Support Vector Machine, Temporal lobe epilepsy, Machine learning, Artificial inteligence, ENIGMA-Epilepsy Working Group
Abstract

Artificial intelligence has recently gained popularity across different medical fields to aid in the detection of diseases based on pathology samples or medical imaging findings. Brain magnetic resonance imaging (MRI) is a key assessment tool for patients with temporal lobe epilepsy (TLE). The role of machine learning and artificial intelligence to increase detection of brain abnormalities in TLE remains inconclusive. We used support vector machine (SV) and deep learning (DL) models based on region of interest (ROI-based) structural (n = 336) and diffusion (n = 863) brain MRI data from patients with TLE with ("lesional") and without ("non-lesional") radiographic features suggestive of underlying hippocampal sclerosis from the multinational (multi-center) ENIGMA-Epilepsy consortium. Our data showed that models to identify TLE performed better or similar (68-75%) compared to models to lateralize the side of TLE (56-73%, except structural-based) based on diffusion data with the opposite pattern seen for structural data (67-75% to diagnose vs. 83% to lateralize). In other aspects, structural and diffusion-based models showed similar classification accuracies. Our classification models for patients with hippocampal sclerosis were more accurate (68-76%) than models that stratified non-lesional patients (53-62%). Overall, SV and DL models performed similarly with several instances in which SV mildly outperformed DL. We discuss the relative performance of these models with ROI-level data and the implications for future applications of machine learning and artificial intelligence in epilepsy care.

Published
2021

14. Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study

Author

Larivière, Sara, Rodríguez-Cruces, Raúl, Royer, Jessica, Caligiuri, Maria Eugenia, Gambardella, Antonio, Concha, Luis, Keller, Simon S, Cendes, Fernando, Yasuda, Clarissa, Bonilha, Leonardo, Gleichgerrcht, Ezequiel, Focke, Niels K, Domin, Martin, von Podewills, Felix, Langner, Soenke, Rummel, Christian, Wiest, Roland, Martin, Pascal, Kotikalapudi, Raviteja, O’Brien, Terence J, Sinclair, Benjamin, Vivash, Lucy, Desmond, Patricia M, Alhusaini, Saud, Doherty, Colin P, Cavalleri, Gianpiero L, Delanty, Norman, Kälviäinen, Reetta, Jackson, Graeme D, Kowalczyk, Magdalena, Mascalchi, Mario, Semmelroch, Mira, Thomas, Rhys H, Soltanian-Zadeh, Hamid, Davoodi-Bojd, Esmaeil, Zhang, Junsong, Lenge, Matteo, Guerrini, Renzo, Bartolini, Emanuele, Hamandi, Khalid, Foley, Sonya, Weber, Bernd, Depondt, Chantal, Absil, Julie, Carr, Sarah JA, Abela, Eugenio, Richardson, Mark P, Devinsky, Orrin, Severino, Mariasavina, Striano, Pasquale, Tortora, Domenico, Hatton, Sean N, Vos, Sjoerd B, Duncan, John S, Whelan, Christopher D, Thompson, Paul M, Sisodiya, Sanjay M, Bernasconi, Andrea, Labate, Angelo, McDonald, Carrie R, Bernasconi, Neda, and Bernhardt, Boris C

Subjects
Mental Health, Brain Disorders, Epilepsy, Clinical Research, Neurosciences, Neurodegenerative, Aetiology, 2.1 Biological and endogenous factors, Neurological
Abstract

Epilepsy is increasingly conceptualized as a network disorder. In this cross-sectional mega-analysis, we integrated neuroimaging and connectome analysis to identify network associations with atrophy patterns in 1021 adults with epilepsy compared to 1564 healthy controls from 19 international sites. In temporal lobe epilepsy, areas of atrophy colocalized with highly interconnected cortical hub regions, whereas idiopathic generalized epilepsy showed preferential subcortical hub involvement. These morphological abnormalities were anchored to the connectivity profiles of distinct disease epicenters, pointing to temporo-limbic cortices in temporal lobe epilepsy and fronto-central cortices in idiopathic generalized epilepsy. Negative effects of age on atrophy further revealed a strong influence of connectome architecture in temporal lobe, but not idiopathic generalized, epilepsy. Our findings were reproduced across individual sites and single patients and were robust across different analytical methods. Through worldwide collaboration in ENIGMA-Epilepsy, we provided deeper insights into the macroscale features that shape the pathophysiology of common epilepsies.

Published
2020

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

Author

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

Subjects
Genetics, Neurodegenerative, Epilepsy, Clinical Research, Brain Disorders, Neurosciences, Biomedical Imaging, Aetiology, 2.1 Biological and endogenous factors, Neurological, Adult, Brain, Diffusion Magnetic Resonance Imaging, Epileptic Syndromes, Female, Humans, Image Interpretation, Computer-Assisted, Male, Middle Aged, White Matter, epilepsy, diffusion tensor imaging, multisite analysis, white matter, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
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

Published
2020

18. Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study

Author

Altmann, Andre, Depondt, Chantal, Galovic, Marian, Thomopoulos, Sophia I., Wiest, Roland, Gleichgerrcht, Ezequiel, Munsell, Brent C., Alhusaini, Saud, Alvim, Marina K.M., Bargalló, Núria, Bender, Benjamin, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Blackmon, Karen, Caligiuri, Maria Eugenia, Cendes, Fernando, Concha, Luis, Desmond, Patricia M., Devinsky, Orrin, Doherty, Colin P., Domin, Martin, Duncan, John S., Focke, Niels K., Gambardella, Antonio, Gong, Bo, Guerrini, Renzo, Hatton, Sean N., Kälviäinen, Reetta, Keller, Simon S., Kochunov, Peter, Kotikalapudi, Raviteja, Kreilkamp, Barbara A.K., Labate, Angelo, Langner, Soenke, Larivière, Sara, Lenge, Matteo, Lui, Elaine, Martin, Pascal, Mascalchi, Mario, Meletti, Stefano, O'Brien, Terence J., Pardoe, Heath R., Pariente, Jose C., Xian Rao, Jun, Richardson, Mark P., Rodríguez-Cruces, Raúl, Rüber, Theodor, Sinclair, Ben, Soltanian-Zadeh, Hamid, Stein, Dan J., Striano, Pasquale, Taylor, Peter N., Thomas, Rhys H., Elisabetta Vaudano, Anna, Vivash, Lucy, von Podewills, Felix, Vos, Sjoerd B., Weber, Bernd, Yao, Yi, Lin Yasuda, Clarissa, Zhang, Junsong, Thompson, Paul M., Sisodiya, Sanjay M., McDonald, Carrie R., and Bonilha, Leonardo

Published
2021
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21. A worldwide ENIGMA study on epilepsy-related gray and white matter compromise across the adult lifespan

Author

Chen, Judy, primary, Ngo, Alexander, additional, Rodríguez-Cruces, Raúl, additional, Royer, Jessica, additional, Caligiuri, Maria Eugenia, additional, Gambardella, Antonio, additional, Concha, Luis, additional, Keller, Simon S., additional, Cendes, Fernando, additional, Yasuda, Clarissa L., additional, Alvim, Marina K. M., additional, Bonilha, Leonardo, additional, Gleichgerrcht, Ezequiel, additional, Focke, Niels K., additional, Kreilkamp, Barbara, additional, Domin, Martin, additional, von Podewils, Felix, additional, Langner, Soenke, additional, Rummel, Christian, additional, Wiest, Roland, additional, Martin, Pascal, additional, Kotikalapudi, Raviteja, additional, Bender, Benjamin, additional, O’Brien, Terence J., additional, Sinclair, Benjamin, additional, Vivash, Lucy, additional, Kwan, Patrick, additional, Desmond, Patricia M., additional, Lui, Elaine, additional, Duma, Gian Marco, additional, Bonanni, Paolo, additional, Ballerini, Alice, additional, Vaudano, Anna Elisabetta, additional, Meletti, Stefano, additional, Tondelli, Manuela, additional, Alhusaini, Saud, additional, Doherty, Colin P., additional, Cavalleri, Gianpiero L., additional, Delanty, Norman, additional, Kälviäinen, Reetta, additional, Jackson, Graeme D., additional, Kowalczyk, Magdalena, additional, Mascalchi, Mario, additional, Semmelroch, Mira, additional, Thomas, Rhys H., additional, Soltanian-Zadeh, Hamid, additional, Davoodi-Bojd, Esmaeil, additional, Zhang, Junsong, additional, Lenge, Matteo, additional, Guerrini, Renzo, additional, Bartolini, Emanuele, additional, Hamandi, Khalid, additional, Foley, Sonya, additional, Rüber, Theodor, additional, Bauer, Tobias, additional, Weber, Bernd, additional, Caldairou, Benoit, additional, Depondt, Chantal, additional, Absil, Julie, additional, Carr, Sarah J. A., additional, Abela, Eugenio, additional, Richardson, Mark P., additional, Devinsky, Orrin, additional, Pardoe, Heath, additional, Severino, Mariasavina, additional, Striano, Pasquale, additional, Tortora, Domenico, additional, Kaestner, Erik, additional, Hatton, Sean N., additional, Arienzo, Donatello, additional, Vos, Sjoerd B., additional, Ryten, Mina, additional, Taylor, Peter N., additional, Duncan, John S., additional, Whelan, Christopher D., additional, Galovic, Marian, additional, Winston, Gavin P., additional, Thomopoulos, Sophia I., additional, Thompson, Paul M., additional, Sisodiya, Sanjay M., additional, Labate, Angelo, additional, McDonald, Carrie R., additional, Caciagli, Lorenzo, additional, Bernasconi, Neda, additional, Bernasconi, Andrea, additional, Larivière, Sara, additional, Schrader, Dewi, additional, and Bernhardt, Boris C., additional

Published
2024
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29. The Structural Plasticity of White Matter Networks Following Anterior Temporal Lobe Resection

Author

Yogarajah, Mahinda, Focke, Niels K., and Bonelli, Silvia B.

Abstract

Anterior temporal lobe resection is an effective treatment for refractory temporal lobe epilepsy. The structural consequences of such surgery in the white matter, and how these relate to language function after surgery remain unknown. We carried out a longitudinal study with diffusion tensor imaging in 26 left and 20 right temporal lobe epilepsy patients before and a mean of 4.5 months after anterior temporal lobe resection. The whole-brain analysis technique tract-based spatial statistics was used to compare pre- and postoperative data in the left and right temporal lobe epilepsy groups separately. We observed widespread, significant, mean 7%, decreases in fractional anisotropy in white matter networks connected to the area of resection, following both left and right temporal lobe resections. However, we also observed a widespread, mean 8%, increase in fractional anisotropy after left anterior temporal lobe resection in the ipsilateral external capsule and posterior limb of the internal capsule, and corona radiata. These findings were confirmed on analysis of the native clusters and hand drawn regions of interest. Postoperative tractography seeded from this area suggests that this cluster is part of the ventro-medial language network. The mean pre- and postoperative fractional anisotropy and parallel diffusivity in this cluster were significantly correlated with postoperative verbal fluency and naming test scores. In addition, the percentage change in parallel diffusivity in this cluster was correlated with the percentage change in verbal fluency after anterior temporal lobe resection, such that the bigger the increase in parallel diffusivity, the smaller the fall in language proficiency after surgery. We suggest that the findings of increased fractional anisotropy in this ventro-medial language network represent structural reorganization in response to the anterior temporal lobe resection, which may damage the more susceptible dorso-lateral language pathway. These findings have important implications for our understanding of brain injury and rehabilitation, and may also prove useful in the prediction and minimization of postoperative language deficits.

Published
2010
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30. Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study

Author

Whelan, Christopher D, Altmann, Andre, Botía, Juan A, Jahanshad, Neda, Hibar, Derrek P, Absil, Julie, Alhusaini, Saud, Alvim, Marina K M, Auvinen, Pia, Bartolini, Emanuele, Bergo, Felipe P G, Bernardes, Tauana, Blackmon, Karen, Braga, Barbara, Caligiuri, Maria Eugenia, Calvo, Anna, Carr, Sarah J, Chen, Jian, Chen, Shuai, Cherubini, Andrea, David, Philippe, Domin, Martin, Foley, Sonya, França, Wendy, Haaker, Gerrit, Isaev, Dmitry, Keller, Simon S, Kotikalapudi, Raviteja, Kowalczyk, Magdalena A, Kuzniecky, Ruben, Langner, Soenke, Lenge, Matteo, Leyden, Kelly M, Liu, Min, Loi, Richard Q, Martin, Pascal, Mascalchi, Mario, Morita, Marcia E, Pariente, Jose C, Rodríguez-Cruces, Raul, Rummel, Christian, Saavalainen, Taavi, Semmelroch, Mira K, Severino, Mariasavina, Thomas, Rhys H, Tondelli, Manuela, Tortora, Domenico, Vaudano, Anna Elisabetta, Vivash, Lucy, von Podewils, Felix, Wagner, Jan, Weber, Bernd, Yao, Yi, Yasuda, Clarissa L, Zhang, Guohao, Bargalló, Nuria, Bender, Benjamin, Bernasconi, Neda, Bernasconi, Andrea, Bernhardt, Boris C, Blümcke, Ingmar, Carlson, Chad, Cavalleri, Gianpiero L, Cendes, Fernando, Concha, Luis, Delanty, Norman, Depondt, Chantal, Devinsky, Orrin, Doherty, Colin P, Focke, Niels K, Gambardella, Antonio, Guerrini, Renzo, Hamandi, Khalid, Jackson, Graeme D, Kälviäinen, Reetta, Kochunov, Peter, Kwan, Patrick, Labate, Angelo, McDonald, Carrie R, Meletti, Stefano, OʼBrien, Terence J, Ourselin, Sebastien, Richardson, Mark P, Striano, Pasquale, Thesen, Thomas, Wiest, Roland, Zhang, Junsong, Vezzani, Annamaria, Ryten, Mina, Thompson, Paul M, and Sisodiya, Sanjay M

Published
2018
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36. The ENIGMA‐Epilepsy working group: Mapping disease from large data sets

Author

Sisodiya, Sanjay M., Whelan, Christopher D., Hatton, Sean N., Huynh, Khoa, Altmann, Andre, Ryten, Mina, Vezzani, Annamaria, Caligiuri, Maria Eugenia, Labate, Angelo, Gambardella, Antonio, Ives‐Deliperi, Victoria, Meletti, Stefano, Munsell, Brent C., Bonilha, Leonardo, Tondelli, Manuela, Rebsamen, Michael, Rummel, Christian, Vaudano, Anna Elisabetta, Wiest, Roland, Balachandra, Akshara R., Bargalló, Núria, Bartolini, Emanuele, Bernasconi, Andrea, Bernasconi, Neda, Bernhardt, Boris, Caldairou, Benoit, Carr, Sarah J.A., Cavalleri, Gianpiero L., Cendes, Fernando, Concha, Luis, Desmond, Patricia M., Domin, Martin, Duncan, John S., Focke, Niels K., Guerrini, Renzo, Hamandi, Khalid, Jackson, Graeme D., Jahanshad, Neda, Kälviäinen, Reetta, Keller, Simon S., Kochunov, Peter, Kowalczyk, Magdalena A., Kreilkamp, Barbara A.K., Kwan, Patrick, Lariviere, Sara, Lenge, Matteo, Lopez, Seymour M., Martin, Pascal, Mascalchi, Mario, Moreira, José C.V., Morita‐Sherman, Marcia E., Pardoe, Heath R., Pariente, Jose C., Raviteja, Kotikalapudi, Rocha, Cristiane S., Rodríguez‐Cruces, Raúl, Seeck, Margitta, Semmelroch, Mira K.H.G., Sinclair, Benjamin, Soltanian‐Zadeh, Hamid, Stein, Dan J., Striano, Pasquale, Taylor, Peter N., Thomas, Rhys H., Thomopoulos, Sophia I., Velakoulis, Dennis, Vivash, Lucy, Weber, Bernd, Yasuda, Clarissa Lin, Zhang, Junsong, Thompson, Paul M., McDonald, Carrie R., Abela, Eugenio, Absil, Julie, Adams, Sophia, Alhusaini, Saud, Alvim, Marina, Balestrini, Simona, Bender, Benjamin, Bergo, Felipe, Bernardes, Tauana, Calvo, Anna, Carreno, Mar, Cherubini, Andrea, David, Philippe, Davoodi‐Bojd, Esmaeil, Delanty, Norman, Depondt, Chantal, Devinsky, Orrin, Doherty, Colin, França, Wendy Caroline, Franceschet, Leticia, Hibar, Derrek P., Ishikawa, Akari, Kaestner, Erik, Langner, Soenke, Liu, Min, Mirandola, Laura, Naylor, Jillian, Nazem‐Zadeh, Mohammad‐reza, O'Brien, Terence J., Ribeiro, Letícia F., Richardson, Mark, Rosenow, Felix, Severino, Mariasavina, Shuai, Chen, Tortora, Domenico, von Podewils, Felix, Vos, Sjoerd B., Wagner, Jan, and Zhang, Guohao

Subjects
Connectomics, Disease, Review Article, rsfMRI, 050105 experimental psychology, 03 medical and health sciences, Epilepsy, 0302 clinical medicine, Neuroimaging, quantitative, Medical imaging, medicine, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, genetics, Review Articles, Cognitive science, Radiological and Ultrasound Technology, Resting state fMRI, event-based modeling, covariance, deep learning, DTI, gene expression, imaging, MRI, 05 social sciences, event‐based modeling, medicine.disease, Neurology, Epilepsy syndromes, Neurology (clinical), Anatomy, Age of onset, 030217 neurology & neurosurgery
Abstract

Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in the epilepsies. Smaller‐scale studies have identified many interesting imaging phenomena, with implications both for understanding pathophysiology and improving clinical care. Through the infrastructure and concepts now well‐established by the ENIGMA Consortium, ENIGMA‐Epilepsy was established to strengthen epilepsy neuroscience by greatly increasing sample sizes, leveraging ideas and methods established in other ENIGMA projects, and generating a body of collaborating scientists and clinicians to drive forward robust research. Here we review published, current, and future projects, that include structural MRI, diffusion tensor imaging (DTI), and resting state functional MRI (rsfMRI), and that employ advanced methods including structural covariance, and event‐based modeling analysis. We explore age of onset‐ and duration‐related features, as well as phenomena‐specific work focusing on particular epilepsy syndromes or phenotypes, multimodal analyses focused on understanding the biology of disease progression, and deep learning approaches. We encourage groups who may be interested in participating to make contact to further grow and develop ENIGMA‐Epilepsy.

Published
2020

41. Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy

Author

Park, Bo-yong, primary, Larivière, Sara, additional, Rodríguez-Cruces, Raul, additional, Royer, Jessica, additional, Tavakol, Shahin, additional, Wang, Yezhou, additional, Caciagli, Lorenzo, additional, Caligiuri, Maria Eugenia, additional, Gambardella, Antonio, additional, Concha, Luis, additional, Keller, Simon S, additional, Cendes, Fernando, additional, Alvim, Marina K M, additional, Yasuda, Clarissa, additional, Bonilha, Leonardo, additional, Gleichgerrcht, Ezequiel, additional, Focke, Niels K, additional, Kreilkamp, Barbara A K, additional, Domin, Martin, additional, von Podewils, Felix, additional, Langner, Soenke, additional, Rummel, Christian, additional, Rebsamen, Michael, additional, Wiest, Roland, additional, Martin, Pascal, additional, Kotikalapudi, Raviteja, additional, Bender, Benjamin, additional, O’Brien, Terence J, additional, Law, Meng, additional, Sinclair, Benjamin, additional, Vivash, Lucy, additional, Kwan, Patrick, additional, Desmond, Patricia M, additional, Malpas, Charles B, additional, Lui, Elaine, additional, Alhusaini, Saud, additional, Doherty, Colin P, additional, Cavalleri, Gianpiero L, additional, Delanty, Norman, additional, Kälviäinen, Reetta, additional, Jackson, Graeme D, additional, Kowalczyk, Magdalena, additional, Mascalchi, Mario, additional, Semmelroch, Mira, additional, Thomas, Rhys H, additional, Soltanian-Zadeh, Hamid, additional, Davoodi-Bojd, Esmaeil, additional, Zhang, Junsong, additional, Lenge, Matteo, additional, Guerrini, Renzo, additional, Bartolini, Emanuele, additional, Hamandi, Khalid, additional, Foley, Sonya, additional, Weber, Bernd, additional, Depondt, Chantal, additional, Absil, Julie, additional, Carr, Sarah J A, additional, Abela, Eugenio, additional, Richardson, Mark P, additional, Devinsky, Orrin, additional, Severino, Mariasavina, additional, Striano, Pasquale, additional, Parodi, Costanza, additional, Tortora, Domenico, additional, Hatton, Sean N, additional, Vos, Sjoerd B, additional, Duncan, John S, additional, Galovic, Marian, additional, Whelan, Christopher D, additional, Bargalló, Núria, additional, Pariente, Jose, additional, Conde-Blanco, Estefania, additional, Vaudano, Anna Elisabetta, additional, Tondelli, Manuela, additional, Meletti, Stefano, additional, Kong, Xiang-Zhen, additional, Francks, Clyde, additional, Fisher, Simon E, additional, Caldairou, Benoit, additional, Ryten, Mina, additional, Labate, Angelo, additional, Sisodiya, Sanjay M, additional, Thompson, Paul M, additional, McDonald, Carrie R, additional, Bernasconi, Andrea, additional, Bernasconi, Neda, additional, and Bernhardt, Boris C, additional

Published
2021
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42. Structural network alterations in focal and generalized epilepsy follow axes of epilepsy risk gene expression: An ENIGMA study

Author

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

Published
2021
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47. Topographic Divergence of Atypical Cortical Asymmetry and Regional Atrophy Patterns in Temporal Lobe Epilepsy: A Worldwide ENIGMA Study

Author

Park, Bo-yong, primary, Larivière, Sara, additional, Rodríguez-Cruces, Raul, additional, Royer, Jessica, additional, Tavakol, Shahin, additional, Wang, Yezhou, additional, Caciagli, Lorenzo, additional, Caligiuri, Maria Eugenia, additional, Gambardella, Antonio, additional, Concha, Luis, additional, Keller, Simon S., additional, Cendes, Fernando, additional, Alvim, Marina K. M., additional, Yasuda, Clarissa, additional, Bonilha, Leonardo, additional, Gleichgerrcht, Ezequiel, additional, Focke, Niels K., additional, Kreilkamp, Barbara A. K., additional, Domin, Martin, additional, von Podewils, Felix, additional, Langner, Soenke, additional, Rummel, Christian, additional, Rebsamen, Michael, additional, Wiest, Roland, additional, Martin, Pascal, additional, Kotikalapudi, Raviteja, additional, Bender, Benjamin, additional, O’Brien, Terence J., additional, Law, Meng, additional, Sinclair, Benjamin, additional, Vivash, Lucy, additional, Desmond, Patricia M., additional, Malpas, Charles B., additional, Lui, Elaine, additional, Alhusaini, Saud, additional, Doherty, Colin P., additional, Cavalleri, Gianpiero L., additional, Delanty, Norman, additional, Kälviäinen, Reetta, additional, Jackson, Graeme D., additional, Kowalczyk, Magdalena, additional, Mascalchi, Mario, additional, Semmelroch, Mira, additional, Thomas, Rhys H., additional, Soltanian-Zadeh, Hamid, additional, Davoodi-Bojd, Esmaeil, additional, Zhang, Junsong, additional, Lenge, Matteo, additional, Guerrini, Renzo, additional, Bartolini, Emanuele, additional, Hamandi, Khalid, additional, Foley, Sonya, additional, Weber, Bernd, additional, Depondt, Chantal, additional, Absil, Julie, additional, Carr, Sarah J. A., additional, Abela, Eugenio, additional, Richardson, Mark P., additional, Devinsky, Orrin, additional, Severino, Mariasavina, additional, Striano, Pasquale, additional, Parodi, Costanza, additional, Tortora, Domenico, additional, Hatton, Sean N., additional, Vos, Sjoerd B., additional, Duncan, John S., additional, Galovic, Marian, additional, Whelan, Christopher D., additional, Bargalló, Núria, additional, Pariente, Jose, additional, Conde, Estefania, additional, Vaudano, Anna Elisabetta, additional, Tondelli, Manuela, additional, Meletti, Stefano, additional, Kong, Xiang-Zhen, additional, Francks, Clyde, additional, Fisher, Simon E., additional, Labate, Angelo, additional, Sisodiya, Sanjay M., additional, Thompson, Paul M., additional, McDonald, Carrie R., additional, Bernasconi, Andrea, additional, Bernasconi, Neda, additional, and Bernhardt, Boris C., additional

Published
2021
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49. Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study

Author

Gleichgerrcht, Ezequiel, primary, Munsell, Brent C., additional, Alhusaini, Saud, additional, Alvim, Marina K.M., additional, Bargalló, Núria, additional, Bender, Benjamin, additional, Bernasconi, Andrea, additional, Bernasconi, Neda, additional, Bernhardt, Boris, additional, Blackmon, Karen, additional, Caligiuri, Maria Eugenia, additional, Cendes, Fernando, additional, Concha, Luis, additional, Desmond, Patricia M., additional, Devinsky, Orrin, additional, Doherty, Colin P., additional, Domin, Martin, additional, Duncan, John S., additional, Focke, Niels K., additional, Gambardella, Antonio, additional, Gong, Bo, additional, Guerrini, Renzo, additional, Hatton, Sean N., additional, Kälviäinen, Reetta, additional, Keller, Simon S., additional, Kochunov, Peter, additional, Kotikalapudi, Raviteja, additional, Kreilkamp, Barbara A.K., additional, Labate, Angelo, additional, Langner, Soenke, additional, Larivière, Sara, additional, Lenge, Matteo, additional, Lui, Elaine, additional, Martin, Pascal, additional, Mascalchi, Mario, additional, Meletti, Stefano, additional, O'Brien, Terence J., additional, Pardoe, Heath R., additional, Pariente, Jose C., additional, Xian Rao, Jun, additional, Richardson, Mark P., additional, Rodríguez-Cruces, Raúl, additional, Rüber, Theodor, additional, Sinclair, Ben, additional, Soltanian-Zadeh, Hamid, additional, Stein, Dan J., additional, Striano, Pasquale, additional, Taylor, Peter N., additional, Thomas, Rhys H., additional, Elisabetta Vaudano, Anna, additional, Vivash, Lucy, additional, von Podewills, Felix, additional, Vos, Sjoerd B., additional, Weber, Bernd, additional, Yao, Yi, additional, Lin Yasuda, Clarissa, additional, Zhang, Junsong, additional, Thompson, Paul M., additional, Sisodiya, Sanjay M., additional, McDonald, Carrie R., additional, Bonilha, Leonardo, additional, Altmann, Andre, additional, Depondt, Chantal, additional, Galovic, Marian, additional, Thomopoulos, Sophia I., additional, and Wiest, Roland, additional

Published
2021
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