학술논문

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.
Document Type
article
Author
Thompson, Paul MJahanshad, NedaChing, Christopher RKSalminen, Lauren EThomopoulos, Sophia IBright, JoannaBaune, Bernhard TBertolín, SaraBralten, JanitaBruin, Willem BBülow, RobinChen, JianChye, YannDannlowski, Udode Kovel, Carolien GFDonohoe, GaryEyler, Lisa TFaraone, Stephen VFavre, PaulineFilippi, Courtney AFrodl, ThomasGarijo, DanielGil, YolandaGrabe, Hans JGrasby, Katrina LHajek, TomasHan, Laura KMHatton, Sean NHilbert, KevinHo, Tiffany CHolleran, LaurenaHomuth, GeorgHosten, NorbertHouenou, JosselinIvanov, IliyanJia, TianyeKelly, SineadKlein, MariekeKwon, Jun SooLaansma, Max ALeerssen, JeanneLueken, UlrikeNunes, AbrahamNeill, Joseph O'Opel, NilsPiras, FabrizioPiras, FedericaPostema, Merel CPozzi, ElenaShatokhina, NataliaSoriano-Mas, CarlesSpalletta, GianfrancoSun, DaqiangTeumer, AlexanderTilot, Amanda KTozzi, Leonardovan der Merwe, CeliaVan Someren, Eus JWvan Wingen, Guido AVölzke, HenryWalton, EstherWang, LeiWinkler, Anderson MWittfeld, KatharinaWright, Margaret JYun, Je-YeonZhang, GuohaoZhang-James, YanliAdhikari, Bhim MAgartz, IngridAghajani, MojiAleman, AndréAlthoff, Robert RAltmann, AndreAndreassen, Ole ABaron, David ABartnik-Olson, Brenda LMarie Bas-Hoogendam, JannaBaskin-Sommers, Arielle RBearden, Carrie EBerner, Laura ABoedhoe, Premika SWBrouwer, Rachel MBuitelaar, Jan KCaeyenberghs, KarenCecil, Charlotte AMCohen, Ronald ACole, James HConrod, Patricia JDe Brito, Stephane Ade Zwarte, Sonja MCDennis, Emily LDesrivieres, SylvaneDima, DanaiEhrlich, StefanEsopenko, CarrieFairchild, GraemeFisher, Simon EFouche, Jean-PaulFrancks, Clyde
Source
Translational psychiatry. 10(1)
Subject
ENIGMA Consortium
Brain
Humans
Magnetic Resonance Imaging
Reproducibility of Results
Depressive Disorder
Major
Neuroimaging
Neurosciences
Clinical Research
Mental Health
Brain Disorders
Behavioral and Social Science
Genetics
Basic Behavioral and Social Science
Prevention
2.1 Biological and endogenous factors
2.3 Psychological
social and economic factors
Mental health
Neurological
Clinical Sciences
Public Health and Health Services
Psychology
Language
Abstract
This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors.