期刊
HUMAN BRAIN MAPPING
卷 43, 期 1, 页码 113-128出版社
WILEY
DOI: 10.1002/hbm.25037
关键词
covariance; deep learning; DTI; event-based modeling; gene expression; genetics; imaging; MRI; quantitative; rsfMRI
资金
- National Nature Science Foundation of China [61772440]
- Health Research Board
- South African Medical Research Council
- Monash University
- National Health and Medical Research Council [1091593, 1081151, R01 AG059874, R01 MH117601, S10OD023696, R01EB015611]
- Schweizerischer Nationalfonds zur Forderung der Wissenschaftlichen Forschung (SNF) [180365, 163398]
- Tenure-track Clinician Scientist Fellowship [MR/N008324/1]
- NIH
- NINDS [1R21NS107739-01A1]
- FAPESP-BRAINN [403726/2016-6, 2013/07599-3, 07559-3, 2013/07559-3]
- Ministry of Health [NET-2013-02355313]
- University of Tubingen [R01 NS065838, R21 NS107739, F1315030]
- University of Melbourne [MRFF1136427]
- Epilepsy Research UK [1085]
- Medical Research Council [MR/S00355X/1, MR/K023152/1, L016311/1]
- Deutsche Forschungsgemeinschaft (DFG) [FO750/5-1]
- National Institute for Health Research (NIHR)
- NIH/NINDS [R01NS110347]
- FRQS
- SickKids Foundation [NI17-039]
- NSERC [Discovery-1304413]
- CIHR [FDN-154298, MOP-123520, MOP-130516, MOP-57840]
- ENIGMA Sex Differences Initiative [R01 MH116147]
- ENIGMAWorld Aging Center [R56 AG058854]
- NIH Big Data to Knowledge (BD2K) program [U54EB020403]
- UNAM-DGAPA [IB201712]
- Mexican Council of Science and Technology [181508, 232676, 251216, 280283]
- SwissNational Science Foundation [180365]
- Sao Paulo Research Foundation [2013/07559-3]
- FAPESP
- European Regional Development Fund
- Science Foundation Ireland [16/RC/3948, 08/RFP/ GEN1538]
- Department of Health
- European Union [602102]
- MRC [MR/K023152/1, MR/L016311/1] Funding Source: UKRI
- National Health and Medical Research Council of Australia [1081151] Funding Source: NHMRC
- Medical Research Council [MR/S00355X/1, MR/K023152/1] Funding Source: researchfish
- Science Foundation Ireland (SFI) [08/RFP/GEN1538] Funding Source: Science Foundation Ireland (SFI)
Epilepsy is a common and serious neurological disorder. MRI has been instrumental in advancing our understanding of epilepsy, and the ENIGMA-Epilepsy project aims to strengthen epilepsy research by increasing sample sizes and collaborating with scientists and clinicians.
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.
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