ArticlePsychoradiology2022
The DIRECT consortium and the REST-meta-MDD project: towards neuroimaging biomarkers of major depressive disorder.
Article in Psychoradiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.
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55 citing papers in PubMed, 1 synthesis or guideline pooled it, 116 citations in OpenAlex.
- Predicting treatment outcomes in major depressive disorder using brain magnetic resonance imaging: a meta-analysis.Molecular psychiatry · 2025Pooled it
- Ethanolamine as a potential biomarker and therapeutic target for depressive disorder.Molecular psychiatry · 2026Article
- History of childhood trauma enhances the detrimental effects of recent stressors on brain structure and function in major depressive disorder.Journal of neural transmission (Vienna, Austria : 1996) · 2026Article
- Association of Left Angular Gyrus-Right Middle Frontal Gyrus Functional Connectivity With Insomnia Severity in Major Depressive Disorder: Evidence From the DIRECT Consortium.CNS neuroscience & therapeutics · 2026Article
- Identification of Major Depressive Disorder Using Multiple Functional Connection Patterns.CNS neuroscience & therapeutics · 2026Article
- Personalized Estimates of Brain Cortical Structural Similarity in Major Depressive Disorder: Evidence from a Multi-Site Neuroimaging Dataset.Diagnostics (Basel, Switzerland) · 2026Article
- Identifying neurophenotypes of major depressive disorder through normative model of regional homogeneity.Translational psychiatry · 2026Article
- Altered Dynamic Functional Connectivity of the Frontoparietal Network in Major Depressive Disorder: Evidence From a Large-Scale Resting-State fMRI Study.Brain and behavior · 2026Article
- Disentangling individual heterogeneity reveals robust network and molecular signatures of major depressive disorder with suicidal ideation.Translational psychiatry · 2026Article
- Enhancing depression diagnosis with augmented brain signal driven decorrelated graph neural networks.Communications medicine · 2026Article
- 3DViT-GAT: a unified atlas-based 3D vision transformer and graph learning framework for major depressive disorder detection using structural MRI data.Scientific reports · 2026Article
- Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology.Translational psychiatry · 2026Article
- Aberrant dynamic functional architecture in major depressive disorder: Vertex-Wise large-sample fMRI analyses reveal network-specific alterations and symptom associations.Translational psychiatry · 2026Article
- Dynamic Exploration of Resting-State Brain Attractors Altered in Major Depressive Disorder.Entropy (Basel, Switzerland) · 2026Article
- Beyond depression symptoms: the default mode network as a predictor of antidepressant response.Npj mental health research · 2026Article
- The Brain-Gut Health Initiative (BIGHI): A Prospective Cohort on Psychiatric Disorders in China.Research (Washington, D.C.) · 2026Review
- Neurocomputational mechanisms of reward-based online mood regulation in adolescents with bipolar disorder and major depressive disorder.Psychoradiology · 2026Article
- Differential brain regional activity and connectivity of anterior cingulate cortex between major depressive disorder with and without suicidal ideation under resting state.Psychological medicine · 2025Article
- Gender differences in gray matter volume of the anterior cingulate cortex and suicidal ideation in patients with major depressive disorder: evidence from the REST-meta-MDD project.Translational psychiatry · 2025Article
- Dynamic changes in hemispheric lateralization in major depressive disorder correlate with neurotransmitter and genetic profiles: a DIRECT consortium study.Translational psychiatry · 2025Article
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58 authors at 20 institutions in 2 countries.
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Abstract
Despite a growing neuroimaging literature on the pathophysiology of major depressive disorder (MDD), reproducible findings are lacking, probably reflecting mostly small sample sizes and heterogeneity in analytic approaches. To address these issues, the Depression Imaging REsearch ConsorTium (DIRECT) was launched. The REST-meta-MDD project, pooling 2428 functional brain images processed with a standardized pipeline across all participating sites, has been the first effort from DIRECT. In this review, we present an overview of the motivations, rationale, and principal findings of the studies so far from the REST-meta-MDD project. Findings from the first round of analyses of the pooled repository have included alterations in functional connectivity within the default mode network, in whole-brain topological properties, in dynamic features, and in functional lateralization. These well-powered exploratory observations have also provided the basis for future longitudinal hypothesis-driven research. Following these fruitful explorations, DIRECT has proceeded to its second stage of data sharing that seeks to examine ethnicity in brain alterations in MDD by extending the exclusive Chinese original sample to other ethnic groups through international collaborations. A state-of-the-art, surface-based preprocessing pipeline has also been introduced to improve sensitivity. Functional images from patients with bipolar disorder and schizophrenia will be included to identify shared and unique abnormalities across diagnosis boundaries. In addition, large-scale longitudinal studies targeting brain network alterations following antidepressant treatment, aggregation of diffusion tensor images, and the development of functional magnetic resonance imaging-guided neuromodulation approaches are underway. Through these endeavours, we hope to accelerate the translation of functional neuroimaging findings to clinical use, such as evaluating longitudinal effects of antidepressant medications and developing individualized neuromodulation targets, while building an open repository for the scientific community.
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