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Record W2793978211 · doi:10.1093/brain/awx341

Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study

2017· article· en· W2793978211 on OpenAlexafffund
Christopher D. Whelan, André Altmann, Juan A. Botía, Neda Jahanshad, Derrek P. Hibar, Julie Absil, Saud Alhusaini, Marina K. M. Alvim, Pia Auvinen, Emanuele Bartolini, Felipe P. G. Bergo, Tauana Bernardes, Karen Blackmon, Bárbara Braga, Maria Eugenia Caligiuri, Anna Calvo, Sarah J. A. Carr, Jian Chen, Shuai Chen, Andrea Cherubini, Philippe David, Martin Domín, Sonya Foley, Wendy França, Gerrit Haaker, Dmitry Isaev, Simon S. Keller, Raviteja Kotikalapudi, Magdalena Kowalczyk, Ruben Kuzniecky, Sönke Langner, Matteo Lenge, Kelly M. Leyden, Min Liu, Richard Q. Loi, Pascal Martin, Mario Mascalchi, Márcia Elisabete Morita, José C. Pariente, Raúl Rodríguez‐Cruces, Christian Rummel, Taavi Saavalainen, Mira Semmelroch, Mariasavina Severino, Rhys H. Thomas, Manuela Tondelli, Domenico Tortora, Anna Elisabetta Vaudano, Lucy Vivash, Felix von Podewils, Jan Wagner, Bernd Weber, Yi Yao, Clarissa Lin Yasuda, Guohao Zhang, Núria Bargalló, Benjamin Bender, Neda Bernasconi, Andrea Bernasconi, Boris C. Bernhardt, Ingmar Blümcke, Chad Carlson, Gianpiero L. Cavalleri, Fernando Cendes, Luis Concha, Norman Delanty, Chantal Depondt, Orrin Devinsky, Colin P. Doherty, Niels K. Focke, Antonio Gambardella, Renzo Guerrini, Khalid Hamandi, Graeme D. Jackson, Reetta Kälviäinen, Peter Kochunov, Patrick Kwan, Angelo Labate, Carrie R. McDonald, Stefano Meletti, Terence J. O’Brien, Sébastien Ourselin, Mark P. Richardson, Pasquale Striano, Thomas Thesen, Roland Wiest, Junsong Zhang, Annamaria Vezzani, Mina Ryten, Paul M. Thompson, Sanjay M. Sisodiya

Bibliographic record

VenueBrain · 2017
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
FundersNational Institute of Neurological Disorders and StrokeEngineering and Physical Sciences Research CouncilFonds de Recherche du Québec - SantéNational Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchSchool of Medicine, New York UniversityNational Institutes of HealthEpilepsy SocietyNational Institute of Mental HealthSaastamoisen säätiöRegione Emilia-RomagnaNatural Sciences and Engineering Research Council of CanadaXiamen UniversityUniversity College London Hospitals NHS Foundation TrustUniversità Degli Studi di Modena e Reggio EmilaUniversidad Nacional Autónoma de MéxicoHospital for Sick ChildrenEpilepsy Research UKMinistero della SaluteNational Natural Science Foundation of ChinaKuopion Yliopistollinen SairaalaNational Health and Medical Research CouncilFundação de Amparo à Pesquisa do Estado de São PauloUniversidade Estadual de CampinasItä-Suomen YliopistoCardiff UniversityMedical Research CouncilUniversity of LiverpoolKing's College LondonUniversity of California, San DiegoSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungOhio State UniversityNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchSouth London and Maudsley NHS Foundation TrustNational Institute for Health and Care ResearchFinding A Cure for Epilepsy and SeizuresEuropean CommissionMorris and Alma Schapiro FundNational Science FoundationDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoHealth and Care Research Wales
KeywordsNeuroscienceEpilepsyMedicinePsychology

Abstract

fetched live from OpenAlex

Progressive functional decline in the epilepsies is largely unexplained. We formed the ENIGMA-Epilepsy consortium to understand factors that influence brain measures in epilepsy, pooling data from 24 research centres in 14 countries across Europe, North and South America, Asia, and Australia. Structural brain measures were extracted from MRI brain scans across 2149 individuals with epilepsy, divided into four epilepsy subgroups including idiopathic generalized epilepsies (n =367), mesial temporal lobe epilepsies with hippocampal sclerosis (MTLE; left, n = 415; right, n = 339), and all other epilepsies in aggregate (n = 1026), and compared to 1727 matched healthy controls. We ranked brain structures in order of greatest differences between patients and controls, by meta-analysing effect sizes across 16 subcortical and 68 cortical brain regions. We also tested effects of duration of disease, age at onset, and age-by-diagnosis interactions on structural measures. We observed widespread patterns of altered subcortical volume and reduced cortical grey matter thickness. Compared to controls, all epilepsy groups showed lower volume in the right thalamus (Cohen's d = -0.24 to -0.73; P < 1.49 × 10-4), and lower thickness in the precentral gyri bilaterally (d = -0.34 to -0.52; P < 4.31 × 10-6). Both MTLE subgroups showed profound volume reduction in the ipsilateral hippocampus (d = -1.73 to -1.91, P < 1.4 × 10-19), and lower thickness in extrahippocampal cortical regions, including the precentral and paracentral gyri, compared to controls (d = -0.36 to -0.52; P < 1.49 × 10-4). Thickness differences of the ipsilateral temporopolar, parahippocampal, entorhinal, and fusiform gyri, contralateral pars triangularis, and bilateral precuneus, superior frontal and caudal middle frontal gyri were observed in left, but not right, MTLE (d = -0.29 to -0.54; P < 1.49 × 10-4). Contrastingly, thickness differences of the ipsilateral pars opercularis, and contralateral transverse temporal gyrus, were observed in right, but not left, MTLE (d = -0.27 to -0.51; P < 1.49 × 10-4). Lower subcortical volume and cortical thickness associated with a longer duration of epilepsy in the all-epilepsies, all-other-epilepsies, and right MTLE groups (beta, b < -0.0018; P < 1.49 × 10-4). In the largest neuroimaging study of epilepsy to date, we provide information on the common epilepsies that could not be realistically acquired in any other way. Our study provides a robust ranking of brain measures that can be further targeted for study in genetic and neuropathological studies. This worldwide initiative identifies patterns of shared grey matter reduction across epilepsy syndromes, and distinctive abnormalities between epilepsy syndromes, which inform our understanding of epilepsy as a network disorder, and indicate that certain epilepsy syndromes involve more widespread structural compromise than previously assumed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.050
GPT teacher head0.379
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations531
Published2017
Admission routes2
Has abstractyes

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