ReviewHuman brain mapping2020
The ENIGMA-Epilepsy working group: Mapping disease from large data sets.
Review in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Cross disorder comparisons of brain structure in schizophrenia, bipolar disorder, major depressive disorder, and 22q11.2 deletion syndrome: A review of ENIGMA findings.Psychiatry and clinical neurosciences · 2022Pooled it
- Rethinking cortical hypertrophy in temporal lobe epilepsy.Brain : a journal of neurology · 2026Review
- Individual-specific resting-state networks predict language dominance in drug-resistant epilepsy.Epilepsia · 2026Article
- Artificial intelligence for pediatric neuroimaging.Pediatric radiology · 2026Review
- Sex-related structural alterations across common epilepsies: a worldwide ENIGMA study.bioRxiv : the preprint server for biology · 2026Article
- Integrative genomic and spatial transcriptomic analysis elucidates the oligodendrocyte-mediated etiology of epileptic cortical thinning.Epilepsia open · 2026Article
- Associations between epilepsy-related polygenic risk and brain morphology in childhood.Brain : a journal of neurology · 2026Article
- Morphometric Similarity Loss and Gray Matter Atrophy Align with Neurotransmitter and Mitochondrial Maps in Drug-Resistant Epilepsy.Neuropsychiatric disease and treatment · 2026Article
- Disease detection and classification in temporal lobe epilepsy: step-wise versus simultaneous AI decision models in a multisite neuroimaging study.Brain communications · 2026Article
- The use of automated and AI-driven algorithms for the detection of hippocampal sclerosis and focal cortical dysplasia.Epilepsia · 2025Review
- AI-based localization of the epileptogenic zone using intracranial EEG.Epilepsia open · 2025Review
- Towards precision MRI biomarkers in epilepsy with normative modelling.Brain : a journal of neurology · 2025Review
- Redefining diagnostic lesional status in temporal lobe epilepsy with artificial intelligence.Brain : a journal of neurology · 2025Article
- Harmonization of MRI sequences across ERN EpiCARE centers.Epilepsia open · 2025Article
- Prevalence of Temporal Lobe Epilepsy (TLE) Subtypes and Response to Resective Surgery in Patients with Presumed TLE Undergoing Limbic and Paralimbic Network Exploration with Stereo-Electrodes.Journal of clinical medicine · 2025Article
- The Imaging Database for Epilepsy And Surgery (IDEAS).Epilepsia · 2025Article
- Big data research is everyone's research-Making epilepsy data science accessible to the global community: Report of the ILAE big data commission.Epileptic disorders : international epilepsy journal with videotape · 2024Review
- Artificial intelligence in epilepsy - applications and pathways to the clinic.Nature reviews. Neurology · 2024Review
- The new era of artificial intelligence in neuroradiology: current research and promising tools.Arquivos de neuro-psiquiatria · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
73 authors.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.