TY - JOUR
T1 - Multimodal abnormalities of brain structure and function in major depressive disorder
T2 - A meta-analysis of neuroimaging studies
AU - Gray, Jodie P.
AU - Müller, Veronika I.
AU - Eickhoff, Simon B.
AU - Fox, Peter T.
N1 - Funding Information:
Supported by grants from NIMH (R01-MH074457-14) and the U.S. Department of Defense (ISG/W81XWH1320065).
Funding Information:
Ms. Gray has received research-training support from a grant through the U.S. Department of Defense and has received speaking honoraria from the Mind Science Foundation. Dr. Eickhoff has received research support from the Deutsche Forschungsgemeinschaft, the European Commission, the Helmholtz Association, and NIH. Dr. Fox has received research support from the Cancer Prevention and Research Institute of Texas, NIH, the Mathers Foundation, the U.S. Department of Defense, and the U.S. Department of Veterans Affairs. Dr. Müller reports no financial relationships with commercial interests.
Publisher Copyright:
© 2020 American Psychiatric Association. All rights reserved.
PY - 2020/5/1
Y1 - 2020/5/1
N2 - Objective: Imaging studies of major depressive disorder have reported structural and functional abnormalities in a variety of spatially diverse brain regions. Quantitative metaanalyses of this literature, however, have failed to find statistically significant between-study spatial convergence, other than transdiagnostic-only effects. In the present study, the authors applied a novel multimodal meta-analytic approach to test the hypothesis that major depression exhibits spatially convergent structural and functional brain abnormalities. Methods: This coordinate-based meta-analysis included voxel-based morphometry (VBM) studies and resting-state voxel-based pathophysiology (VBP) studies of blood flow, glucose metabolism, regional homogeneity, and amplitude of low-frequency fluctuations (ALFF) and fractional ALFF (fALFF). Input data were grouped into three primary metaanalytic classes: gray matter atrophy, increased function, and decreased function in patients with major depression relative to healthy control subjects. In secondary meta-analyses, the data were grouped across primary categories, and in tertiary analyses, by medication status and absence of psychiatric comorbidity. Activation likelihood estimation was used for all analyses. Results: A total of 92 publications reporting 152 experiments were identified, collectively representing 2,928 patients with major depressive disorder. The primary analyses detected no convergence across studies. The secondary analyses identified portions of the subgenual cingulate cortex, hippocampus, amygdala, and putamen as demonstrating convergent abnormalities. The tertiary analyses (clinical subtypes) showed improved convergence relative to the secondary analyses. Conclusions: Coordinate-based meta-analysis identified spatially convergent structural (VBM) and functional (VBP) abnormalities in major depression. The findings suggest replicable neuroimaging features associated with major depression, beyond the transdiagnostic effects reported in previous metaanalyses, and support a continued research focus on the subgenual cingulate and other selected regions' role in depression.
AB - Objective: Imaging studies of major depressive disorder have reported structural and functional abnormalities in a variety of spatially diverse brain regions. Quantitative metaanalyses of this literature, however, have failed to find statistically significant between-study spatial convergence, other than transdiagnostic-only effects. In the present study, the authors applied a novel multimodal meta-analytic approach to test the hypothesis that major depression exhibits spatially convergent structural and functional brain abnormalities. Methods: This coordinate-based meta-analysis included voxel-based morphometry (VBM) studies and resting-state voxel-based pathophysiology (VBP) studies of blood flow, glucose metabolism, regional homogeneity, and amplitude of low-frequency fluctuations (ALFF) and fractional ALFF (fALFF). Input data were grouped into three primary metaanalytic classes: gray matter atrophy, increased function, and decreased function in patients with major depression relative to healthy control subjects. In secondary meta-analyses, the data were grouped across primary categories, and in tertiary analyses, by medication status and absence of psychiatric comorbidity. Activation likelihood estimation was used for all analyses. Results: A total of 92 publications reporting 152 experiments were identified, collectively representing 2,928 patients with major depressive disorder. The primary analyses detected no convergence across studies. The secondary analyses identified portions of the subgenual cingulate cortex, hippocampus, amygdala, and putamen as demonstrating convergent abnormalities. The tertiary analyses (clinical subtypes) showed improved convergence relative to the secondary analyses. Conclusions: Coordinate-based meta-analysis identified spatially convergent structural (VBM) and functional (VBP) abnormalities in major depression. The findings suggest replicable neuroimaging features associated with major depression, beyond the transdiagnostic effects reported in previous metaanalyses, and support a continued research focus on the subgenual cingulate and other selected regions' role in depression.
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U2 - 10.1176/appi.ajp.2019.19050560
DO - 10.1176/appi.ajp.2019.19050560
M3 - Article
C2 - 32098488
AN - SCOPUS:85085765830
SN - 0002-953X
VL - 177
SP - 422
EP - 434
JO - American Journal of Psychiatry
JF - American Journal of Psychiatry
IS - 5
ER -