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Brain Imaging and Behavior|September 8, 2018
A resting state fMRI analysis pipeline for pooling inference across diverse cohorts: an ENIGMA rs-fMRI protocolBhim M Adhikari, Neda Jahanshad, Dinesh Shukla, et al.
Human Brain Mapping|April 18, 2020
ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric researchPeter Kochunov, L Elliot Hong, Emily L Dennis, et al.
Neuroimage|May 1, 2013
Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA-DTI working groupNeda Jahanshad, Peter V Kochunov, Emma Sprooten, et al.
The American Journal of Psychiatry|March 28, 2020
The Relationship Between White Matter Microstructure and General Cognitive Ability in Patients With Schizophrenia and Healthy Participants in the ENIGMA ConsortiumLaurena Holleran, Sinead Kelly, Clara Alloza, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|September 18, 2025
COMBINING META- AND MEGA- ANALYTIC APPROACHES FOR MULTI-SITE DIFFUSION IMAGING BASED GENETIC STUDIES: FROM THE ENIGMA-DTI WORKING GROUPNeda Jahanshad, Peter Kochunov, Thomas E Nichols, et al.
Neuroimage|March 25, 2014
Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data poolingPeter Kochunov, Neda Jahanshad, Emma Sprooten, et al.
Neuroimage|March 10, 2015
Heritability of fractional anisotropy in human white matter: a comparison of Human Connectome Project and ENIGMA-DTI dataPeter Kochunov, Neda Jahanshad, Daniel Marcus, et al.
Molecular Psychiatry|February 9, 2024
Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA studyFoivos Georgiadis, Sara Larivière, David Glahn, 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.
Medrxiv : the Preprint Server for Health Sciences|January 2, 2026
Shared genetic architecture of brain age gap across 30 cohorts worldwideVilte Baltramonaityte, Philippe Jawinski, Marlene Staginnus, et al.
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