ArticleNeuroImage. Clinical2020
Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns.
Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.
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Who cites it
54 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The habenula in mood disorders: A systematic review of human studies.Molecular psychiatry · 2025Pooled it
- Effects of 12-week escitalopram treatment on resting-state functional connectivity of large-scale brain networks in major depressive disorder.Human brain mapping · 2023Trial
- Connectomic signatures advance the understandings of transdiagnostic heterogeneity in psychosis.Communications medicine · 2026Review
- Stable depression subtypes identified using functional connectome normative deviation models and their response to rTMS.Molecular psychiatry · 2026Article
- HDGNN-Mamba2: Mamba-Based Spatiotemporal Heterogeneous Dynamic Graph Neural Network for Major Depressive Disorder Classification.Brain sciences · 2026Article
- Unveiling the enigma of anxiety disorders and depression: from pathogenesis to treatment.Science China. Life sciences · 2026Review
- Artificial intelligence and pediatric imaging data: ethical strategies for learning and collaboration.Pediatric radiology · 2026Review
- Distinct Biotypes of Visual Perception in Major Depressive Disorder.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Connectome-based growth models reveal individual heterogeneity and neurophysiological subtypes of subthreshold depression.Molecular psychiatry · 2026Article
- Developing Clinically Interpretable Neuroimaging Biotypes in Psychiatry.Biological psychiatry · 2026Review
- Multimodal Representation Learning for Parsing Biological Heterogeneity in Psychiatric Neuroimaging.Biological psychiatry · 2026Review
- Multimodal MRI and machine learning for identifying depression in cerebral small vessel disease: a multicenter study.BMC medical imaging · 2026Article
- Diagnostic utility of biomarkers in progressive supranuclear palsy: toward a biotyping framework.Journal of neurology · 2025Review
- Heterogeneity of brain functional connectivity, transcriptome, and neurotransmitter profiles in major depressive disorder.Psychological medicine · 2025Article
- Similarities and differences of regional brain activity between first-episode drug-naïve anxious and nonanxious MDD patients.BMC psychiatry · 2025Article
- Gender differences in the interactions and inferred causal relationships between risk factors and gaming disorder: a network and structural equation modeling approach.European archives of psychiatry and clinical neuroscience · 2025Article
- Latent Profile Analysis of Childhood Maltreatment and Neural Markers in Depression.JAMA network open · 2025Article
- Multimodal integration of homotopic connectivity and transcriptomic signatures in major depressive disorder with sleep disorder comorbidity.BMC psychiatry · 2025Article
- Neuroimaging-based variability in subtyping biomarkers for psychiatric heterogeneity.Molecular psychiatry · 2025Article
- Major depressive disorder on a neuromorphic continuum.Nature communications · 2025Article
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Authors and funding
67 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMajor depressive disorder (MDD) is heterogeneous disorder associated with aberrant functional connectivity within the default mode network (DMN). This study focused on data-driven identification and validation of potential DMN-pattern-based MDD subtypes to parse heterogeneity of the disorder.
methodsThe sample comprised 1397 participants including 690 patients with MDD and 707 healthy controls (HC) registered from multiple sites based on the REST-meta-MDD Project in China. Baseline resting-state functional magnetic resonance imaging (rs-fMRI) data was recorded for each participant. Discriminative features were selected from DMN between patients and HC. Patient subgroups were defined by K-means and principle component analysis in the multi-site datasets and validated in an independent single-site dataset. Statistical significance of resultant clustering were confirmed. Demographic and clinical variables were compared between identified patient subgroups.
resultsTwo MDD subgroups with differing functional connectivity profiles of DMN were identified in the multi-site datasets, and relatively stable in different validation samples. The predominant dysfunctional connectivity profiles were detected among superior frontal cortex, ventral medial prefrontal cortex, posterior cingulate cortex and precuneus, whereas one subgroup exhibited increases of connectivity (hyperDMN MDD) and another subgroup showed decreases of connectivity (hypoDMN MDD). The hyperDMN subgroup in the discovery dataset had age-related severity of depressive symptoms. Patient subgroups had comparable demographic and clinical symptom variables.
conclusionsFindings suggest the existence of two neural subtypes of MDD associated with different dysfunctional DMN connectivity patterns, which may provide useful evidence for parsing heterogeneity of depression and be valuable to inform the search for personalized treatment strategies.
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