The neuroimaging correlates of depression established across six large-scale datasets.

ABSTRACT: Neuroimaging data offers noninvasive insights into the structural and functional organization of the brain and is therefore commonly used to study the neuroimaging correlates of depression. To date, a substantial body of literature has suggested reduced size of subcortical regions and abnormal functional connectivity in frontal and default mode networks linked to depression. However, recent meta analyses have failed to identify significant converging correlates of depression across the literature such that a conclusive mapping of the neuroimaging correlates of depression remains elusive. Here we leveraged 23,417 participants across six datasets to comprehensively establish the neuroimaging correlates of depression. We found reductions in gray matter volume/cortical surface area associated

SUBMITTER: Hamilton KM 

PROVIDER: S-EPMC12265551 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature