Jodie P Gray1, Veronika I Müller1, Simon B Eickhoff1, Peter T Fox1. 1. Research Imaging Institute, University of Texas Health Science Center at San Antonio (Gray, Fox); Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Center Jüelich, Germany (Müller, Eickhoff); Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Germany (Müller, Eickhoff); and South Texas Veterans Health Care System, San Antonio (Fox).
Abstract
OBJECTIVE: Imaging studies of major depressive disorder have reported structural and functional abnormalities in a variety of 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 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 meta-analytic 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 meta-analyses, and support a continued research focus on the subgenual cingulate and other selected regions' role in depression.
OBJECTIVE: Imaging studies of major depressive disorder have reported structural and functional abnormalities in a variety of 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 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 meta-analytic 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 meta-analyses, and support a continued research focus on the subgenual cingulate and other selected regions' role in depression.
Authors: Joshua S Shimony; Dongyang Zhang; James M Johnston; Michael D Fox; Abhik Roy; Eric C Leuthardt Journal: Acad Radiol Date: 2009-05 Impact factor: 3.173
Authors: Masoud Tahmasian; Junming Shao; Chun Meng; Timo Grimmer; Janine Diehl-Schmid; Behrooz H Yousefi; Stefan Förster; Valentin Riedl; Alexander Drzezga; Christian Sorg Journal: J Nucl Med Date: 2015-11-19 Impact factor: 10.057
Authors: Thomas J Vanasse; P Mickle Fox; Daniel S Barron; Michaela Robertson; Simon B Eickhoff; Jack L Lancaster; Peter T Fox Journal: Hum Brain Mapp Date: 2018-05-02 Impact factor: 5.038
Authors: Katharina Brosch; Frederike Stein; Simon Schmitt; Julia-Katharina Pfarr; Kai G Ringwald; Florian Thomas-Odenthal; Tina Meller; Olaf Steinsträter; Lena Waltemate; Hannah Lemke; Susanne Meinert; Alexandra Winter; Fabian Breuer; Katharina Thiel; Dominik Grotegerd; Tim Hahn; Andreas Jansen; Udo Dannlowski; Axel Krug; Igor Nenadić; Tilo Kircher Journal: Mol Psychiatry Date: 2022-07-15 Impact factor: 13.437
Authors: Masoud Tahmasian; André Aleman; Ole A Andreassen; Zahra Arab; Marion Baillet; Francesco Benedetti; Tom Bresser; Joanna Bright; Michael W L Chee; Daphne Chylinski; Wei Cheng; Michele Deantoni; Martin Dresler; Simon B Eickhoff; Claudia R Eickhoff; Torbjørn Elvsåshagen; Jianfeng Feng; Jessica C Foster-Dingley; Habib Ganjgahi; Hans J Grabe; Nynke A Groenewold; Tiffany C Ho; Seung Bong Hong; Josselin Houenou; Benson Irungu; Neda Jahanshad; Habibolah Khazaie; Hosung Kim; Ekaterina Koshmanova; Desi Kocevska; Peter Kochunov; Oti Lakbila-Kamal; Jeanne Leerssen; Meng Li; Annemarie I Luik; Vincenzo Muto; Justinas Narbutas; Gustav Nilsonne; Victoria S O'Callaghan; Alexander Olsen; Ricardo S Osorio; Sara Poletti; Govinda Poudel; Joyce E Reesen; Liesbeth Reneman; Mathilde Reyt; Dieter Riemann; Ivana Rosenzweig; Masoumeh Rostampour; Amin Saberi; Julian Schiel; Christina Schmidt; Anouk Schrantee; Emma Sciberras; Tim J Silk; Kang Sim; Hanne Smevik; Jair C Soares; Kai Spiegelhalder; Dan J Stein; Puneet Talwar; Sandra Tamm; Giana L Teresi; Sofie L Valk; Eus Van Someren; Gilles Vandewalle; Maxime Van Egroo; Henry Völzke; Martin Walter; Rick Wassing; Frederik D Weber; Antoine Weihs; Lars Tjelta Westlye; Margaret J Wright; Mon-Ju Wu; Nathalia Zak; Mojtaba Zarei Journal: J Sleep Res Date: 2021-04-28 Impact factor: 3.981
Authors: Bomin Jeon; Faith S Luyster; Susan M Sereika; Monica M DiNardo; Judith A Callan; Eileen R Chasens Journal: J Clin Sleep Med Date: 2022-04-01 Impact factor: 4.062
Authors: Margarita Bronshteyn; Fan Nils Yang; Kyle F Shattuck; Matthew Dawson; Princy Kumar; David J Moore; Ronald J Ellis; Xiong Jiang Journal: Hum Brain Mapp Date: 2021-06-05 Impact factor: 5.038