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Journal of Sleep Research|April 29, 2021
ENIGMA-Sleep: Challenges, opportunities, and the road mapMasoud Tahmasian, André Aleman, Ole A Andreassen, et al.Plos One|May 3, 2011
Evidence for reductive genome evolution and lateral acquisition of virulence functions in two Corynebacterium pseudotuberculosis strainsJerônimo C Ruiz, Vívian D'Afonseca, Artur Silva, et al.Molecular Psychiatry|February 10, 2016
Subcortical volumetric abnormalities in bipolar disorderD P Hibar, L T Westlye, T G M van Erp, et al.Scientific Reports|January 11, 2024
Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measuresVladimir Belov, Tracy Erwin-Grabner, Moji Aghajani, et al.Molecular Psychiatry|September 2, 2018
Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working GroupAbraham Nunes, Hugo G Schnack, Christopher R K Ching, et al.Machine Learning in Medical Imaging. MLMI (Workshop)|July 24, 2018
Machine Learning for Large-Scale Quality Control of 3D Shape Models in NeuroimagingDmitry Petrov, Boris A Gutman, Shih-Hua Julie Yu, et al.Molecular Psychiatry|January 13, 2026
Structural brain differences associated with panic disorder: an ENIGMA-Anxiety Working Group mega-analysis of 4924 individuals worldwideLaura K M Han, Willem B Bruin, Janna Marie Bas-Hoogendam, et al.Molecular Psychiatry|September 7, 2022
Structural brain alterations associated with suicidal thoughts and behaviors in young people: results from 21 international studies from the ENIGMA Suicidal Thoughts and Behaviours consortiumLaura S van Velzen, Maria R Dauvermann, Lejla Colic, et al.Molecular Psychiatry|May 4, 2016
Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working GroupL Schmaal, D P Hibar, P G Sämann, et al.Translational Psychiatry|May 31, 2020
ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharingLianne Schmaal, Elena Pozzi, Tiffany C Ho, et al.Pageof 141