The ENIGMA Center for Worldwide Medicine, Imaging and Genomics galvanized the brain imaging and genomics communities worldwide to pool all their data, talents, and infrastructure to work on previously intractable computational and biomedical goals. ENIGMA'S Administrative Core offers support, leadership, and democratic policies to create the largest brain imaging genomics studies in history.
Our Aims are:
Aim 1. Coordinate the largest worldwide genomic analyses of images. The ENIGMA Center and its Support Groups will coordinate work by 287 scientists at 125 institutions. Our expertise, administrative support, and analytical resources will accelerate worldwide studies of the brain across the U.S., Europe, Australia, Asia and Africa. Our Support Groups distribute computations on worldwide genomic, imaging and clinical data, in ever-increasing power and depth.
Aim 2. Coordinate Worldwide ENIGMA Working Groups on Disease. ENIGMA coordinates 9 mutually supportive Working Groups on 9 major worldwide brain diseases: schizophrenia, bipolar disorder, major depression, ADHD, OCD, autism, 22q deletion syndrome, HIV/AIDS and addictions. These multinational activities use large-scale distributed computation to draw on massive infrastructure and expertise from 287 scientists from 20 countries. Guiding principles are: clear and unified medical goals, protocol harmonization, consortium science, and meta-analysis to improve disease diagnosis and prognosis worldwide.
Aim 3. Implement ethical worldwide collaboration. We will assure ethical handling of biomedical Big Data, authorship, credit, and democracy. We encourage secondary proposals to work with ENIGMA data. Projects use Memoranda of Understanding (MoUs), with clear policies for timelines, embargo handling and conflict resolution.
Aim 4. Sustain ENIGMA'S growth. We introduce metrics to evaluate how our ENIGMA Center impacts the scientific community. We synergize with other Big Data efforts, helping with training, and scientific exchange, saving costs. Sustained funding will involve philanthropy and will leverage multi-continent support and our partners'non-US infrastructure.
ENIGMA'S Administrative Core offers support, leadership, and democratic policies that created the largest brain imaging genomics studies in history. Our Administrative Core organizes work by 287 scientists at 125 institutions, offering expertise, administrative direction, and analytical resources to accelerate worldwide studies of 9 major brain diseases: schizophrenia, bipolar illness, major depression, ADHD, OCD, autism, 22q deletion syndrome, HIV/AIDS and addictions.
|Zhang, Jie; Stonnington, Cynthia; Li, Qingyang et al. (2016) APPLYING SPARSE CODING TO SURFACE MULTIVARIATE TENSOR-BASED MORPHOMETRY TO PREDICT FUTURE COGNITIVE DECLINE. Proc IEEE Int Symp Biomed Imaging 2016:646-650|
|Jia, Tianye; Macare, Christine; DesriviÃ¨res, Sylvane et al. (2016) Neural basis of reward anticipation and its genetic determinants. Proc Natl Acad Sci U S A 113:3879-84|
|Cameron Craddock, R; S Margulies, Daniel; Bellec, Pierre et al. (2016) Brainhack: a collaborative workshop for the open neuroscience community. Gigascience 5:16|
|Boedhoe, Premika S W; Schmaal, Lianne; Abe, Yoshinari et al. (2016) Distinct Subcortical Volume Alterations in Pediatric and Adult OCD: A Worldwide Meta- and Mega-Analysis. Am J Psychiatry :appiajp201616020201|
|Kochunov, Peter; Thompson, Paul M; Winkler, Anderson et al. (2016) The common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects. Neuroimage 125:189-97|
|Everaerd, Daphne; Klumpers, Floris; Zwiers, Marcel et al. (2016) Childhood abuse and deprivation are associated with distinct sex-dependent differences in brain morphology. Neuropsychopharmacology 41:1716-23|
|Hasan, Khader M; Mwangi, Benson; Cao, Bo et al. (2016) Entorhinal Cortex Thickness across the Human Lifespan. J Neuroimaging 26:278-82|
|Colom, Roberto; Hua, Xue; MartÃnez, Kenia et al. (2016) Brain structural changes following adaptive cognitive training assessed by Tensor-Based Morphometry (TBM). Neuropsychologia 91:77-85|
|Shen, Kai-Kai; DorÃ©, Vincent; Rose, Stephen et al. (2016) Heritability and genetic correlation between the cerebral cortex and associated white matter connections. Hum Brain Mapp 37:2331-47|
|Hibar, D P; Westlye, L T; van Erp, T G M et al. (2016) Subcortical volumetric abnormalities in bipolar disorder. Mol Psychiatry 21:1710-1716|
Showing the most recent 10 out of 163 publications