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@ARTICLE{Gray:874260,
author = {Gray, Jodie P. and Müller, Veronika I. and Eickhoff, Simon
B. and Fox, Peter T.},
title = {{M}ultimodal {A}bnormalities of {B}rain {S}tructure and
{F}unction in {M}ajor {D}epressive {D}isorder: {A}
{M}eta-{A}nalysis of {N}euroimaging {S}tudies},
journal = {The American journal of psychiatry},
volume = {177},
number = {5},
issn = {1535-7228},
address = {Stanford, Calif.},
publisher = {HighWire Press},
reportid = {FZJ-2020-01351},
pages = {422-434},
year = {2020},
note = {Disclosures: Ms. Gray has received research-training
support from a grant through the US Department of Defense;
she has received honoraria for speaking from the Mind
Science Foundation. Dr. Eickhoff has received research
support from the Deutsche Forschungsgemeinschaft, The
Helmholtz-Association, The National Institutes of Health,
and the European Commission Dr. Fox has received research
support from The National Institutes of Health, the US
Department of Defense, the US Department of Veterans
Affairs, the Cancer Prevention $\&$ Research Institute of
Texas, and The Mather’s Foundation. Dr. Müller reports no
financial relationships with commercial
interests.Acknowledgements: This work was supported by
grants from the National Institute of Mental Health
(R01-MH074457-14) and the Department of Defense
(ISG/W81XWH1320065).},
abstract = {AbstractObjective: Imaging studies of major depressive
disorder (MDD) have reported structural and functional
abnormalities in many, spatially diverse brain regions.
Quantitative meta-analyses 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 apply a novel,
multi-modal, meta-analytic approach to test the hypothesis
that MDD exhibits spatially convergent structural and
functional brain abnormalities.Methods: This
coordinate-based meta-analysis (CBMA) included voxel-based
morphometry (VBM) studies and resting-state voxel-based
pathophysiology (VBP) studies imaging blood flow (BF),
glucose metabolism, regional homogeneity (ReHo), and
amplitude of low frequency fluctuations (ALFF/fALFF). Input
data were grouped into three primary meta-analytic classes:
gray matter atrophy; increased function; and, decreased
function in MDD patients relative to healthy controls.
Secondary meta-analyses grouped across primary categories.
Tertiary analyses grouped by medication status and absence
of psychiatric comorbidity. Activation likelihood estimation
(ALE) was used for all analyses.Results: In total 92
publications reporting 152 experiments were identified,
collectively representing 2,928 MDD patients. Primary
analyses detected no convergence across studies. Secondary
analyses identified portions of subgenual cingulate,
hippocampus, amygdala, putamen, retrosplenial cortex, and
middle occipital/inferior temporal gyri as demonstrating
convergent abnormalities. Tertiary analyses (clinical
subtypes) showed improved convergence relative to secondary
analyses.Conclusions: CBMA identified spatially convergent
structural (VBM) and functional (VBP) abnormalities in MDD.
Present findings suggest replicable neuroimaging features
associated with MDD, beyond the transdiagnostic effects
reported in prior meta-analysis. Our findings support
continued research focus on the subgenual cingulate and
other select regions’ role in MDD.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {572 - (Dys-)function and Plasticity (POF3-572)},
pid = {G:(DE-HGF)POF3-572},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32098488},
UT = {WOS:000537832600010},
doi = {10.1176/appi.ajp.2019.19050560},
url = {https://juser.fz-juelich.de/record/874260},
}