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(1 - 23 of 23)
Cortical thickness across the lifespan
Cortical thickness across the lifespan
Subcortical volumes across the lifespan
Subcortical volumes across the lifespan
Subcortical volumes across the lifespan
Virtual histology of cortical thickness and shared neurobiology in 6 psychiatric disorders
White matter disturbances in major depressive disorder
ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group
Interactive impact of childhood maltreatment, depression, and age on cortical brain structure
ENIGMA and global neuroscience: a decade of large-scale studies of the brain in health and disease across more than 40 countries
ENIGMA and global neuroscience: a decade of large-scale studies of the brain in health and disease across more than 40 countries
ENIGMA and global neuroscience: a decade of large-scale studies of the brain in health and disease across more than 40 countries
ENIGMA and global neuroscience: a decade of large-scale studies of the brain in health and disease across more than 40 countries
10Kin1day: A bottom-up neuroimaging initiative
Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis
Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group
Childhood adversity impacts on brain subcortical structures relevant to depression
Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group
Size matters; but so does what you do with it! Response
Computational meta-analysis of statistical parametric maps in major depression
Structural brain alterations in major depression: findings from the ENIGMA Major Depressive Disorder Working Group
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data