ArticleScientific reports2018
Identification of depression subtypes and relevant brain regions using a data-driven approach.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 4 of them syntheses that pooled it.
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Who cites it
61 citing papers in PubMed, 4 syntheses or guidelines pooled it, 142 citations in OpenAlex.
- In search of convergent regional brain abnormality in cognitive emotion regulation: A transdiagnostic neuroimaging meta-analysis.Human brain mapping · 2022Pooled it
- Systematic Review of Functional MRI Applications for Psychiatric Disease Subtyping.Frontiers in psychiatry · 2021Pooled it
- Early Adverse Stress and Depressive and Bipolar Disorders: A Systematic Review and Meta-Analysis of Treatment Interventions.Frontiers in psychiatry · 2021Pooled it
- Data-driven biological subtypes of depression: systematic review of biological approaches to depression subtyping.Molecular psychiatry · 2019Pooled it
- Connectomic signatures advance the understandings of transdiagnostic heterogeneity in psychosis.Communications medicine · 2026Review
- An exploratory data-driven stratification of depression based on functional network connectivity and symptom profiles suggests heterogeneous responses to iTBS.BMC psychiatry · 2026Article
- Multimodal Representation Learning for Parsing Biological Heterogeneity in Psychiatric Neuroimaging.Biological psychiatry · 2026Review
- A Framework for Advancing Mechanistic Neurobehavioral Biomarkers in Psychiatry.Biological psychiatry · 2026Review
- Inferring relationships among major psychiatric disorders in a resting-state functional connectivity-informed embedding space.NPJ systems biology and applications · 2026Article
- Generalizable stratification based on thalamo-somatomotor functional connectivity predicts responses to antidepressants in patients with depression.Molecular psychiatry · 2026Article
- Computational mechanisms of neuroimaging biomarkers uncovered by multicenter resting-state fMRI connectivity variation profile.Molecular psychiatry · 2025Article
- Practical AI application in psychiatry: historical review and future directions.Molecular psychiatry · 2025Review
- Neuroimage Analysis Methods and Artificial Intelligence Techniques for Reliable Biomarkers and Accurate Diagnosis of Schizophrenia: Achievements Made by Chinese Scholars Around the Past Decade.Schizophrenia bulletin · 2025Review
- Towards a neurodevelopmental model of bipolar disorder: a critical review of trait- and state-related functional neuroimaging in adolescents and young adults.Molecular psychiatry · 2025Review
- Individualized resting-state functional connectivity abnormalities unveil two major depressive disorder subtypes with contrasting abnormal patterns of abnormality.Translational psychiatry · 2025Article
- The Algorithmic Agent Perspective and Computational Neuropsychiatry: From Etiology to Advanced Therapy in Major Depressive Disorder.Entropy (Basel, Switzerland) · 2024Article
- Neuroimaging for precision medicine in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- 20 (S)-Protopanaxadiol Alleviates DRP1-Mediated Mitochondrial Dysfunction in a Depressive Model In Vitro and In Vivo via the SIRT1/PGC-1α Signaling Pathway.Molecules (Basel, Switzerland) · 2024Article
- The status of MRI databases across the world focused on psychiatric and neurological disorders.Psychiatry and clinical neurosciences · 2024Review
- Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning.Biological psychiatry · 2024Review
1 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is well known that depressive disorder is heterogeneous, yet little is known about its neurophysiological subtypes. In the present study, we identified neurophysiological subtypes of depression related to specific neural substrates. We performed cluster analysis for 134 subjects (67 depressive subjects and 67 controls) using a high-dimensional dataset consisting of resting state functional connectivity measured by functional MRI, clinical questionnaire scores, and various biomarkers. Applying a newly developed, multiple co-clustering method to this dataset, we identified three subtypes of depression that are characterized by functional connectivity between the right Angular Gyrus (AG) and other brain areas in default mode networks, and Child Abuse Trauma Scale (CATS) scores. These subtypes are also related to Selective Serotonin-Reuptake Inhibitor (SSRI) treatment outcomes, which implies that we may be able to predict effectiveness of treatment based on AG-related functional connectivity and CATS.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.