ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2017
Data-Driven Subgroups in Depression Derived from Directed Functional Connectivity Paths at Rest.
Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled it.
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Who cites it
57 citing papers in PubMed, 3 syntheses or guidelines pooled it, 100 citations in OpenAlex.
- A network model of depressive and anxiety symptoms: a statistical evaluation.Molecular psychiatry · 2024Pooled it
- Systematic Review of Functional MRI Applications for Psychiatric Disease Subtyping.Frontiers in psychiatry · 2021Pooled it
- Data-driven biological subtypes of depression: systematic review of biological approaches to depression subtyping.Molecular psychiatry · 2019Pooled it
- Functional connectivity subtypes during a positive mood induction: Predicting clinical response in a randomized controlled trial of ketamine for treatment-resistant depression.Journal of psychopathology and clinical science · 2025Trial
- Repeated measurement of implicit self-associations in clinical depression: Psychometric, neural, and computational properties.Journal of abnormal psychology · 2021Trial
- Intrinsic functional connectivity predicts remission on antidepressants: a randomized controlled trial to identify clinically applicable imaging biomarkers.Translational psychiatry · 2018Trial
- Connectomic signatures advance the understandings of transdiagnostic heterogeneity in psychosis.Communications medicine · 2026Review
- Developing Clinically Interpretable Neuroimaging Biotypes in Psychiatry.Biological psychiatry · 2026Review
- Multimodal Representation Learning for Parsing Biological Heterogeneity in Psychiatric Neuroimaging.Biological psychiatry · 2026Review
- Identifying transdiagnostic neurobiomarkers for precision major psychiatric disordersJournal of translational internal medicine · 2026Article
- The Speech Network in Childhood Stuttering: Differences in Functional Connectivity of the Planning and Motor Loops.Neurobiology of language (Cambridge, Mass.) · 2026Article
- Relationships between local metabolic activity and distributed functional connectivity in major depressive disorder.Translational psychiatry · 2025Article
- Parsing Clinical and Neurobiological Sources of Heterogeneity in Depression.Biological psychiatry · 2025Article
- Integrating brain imaging features and genomic profiles for the subtyping of major depression.Psychological medicine · 2025Article
- Comparing Data-Driven Subtypes of Depression Informed by Clinical and Neuroimaging Data: A Registered Report.Biological psychiatry global open science · 2025Article
- Parsing the heterogeneity of depression: a data-driven subgroup derived from cognitive function.Frontiers in psychiatry · 2025Article
- Structural brain alterations in patients with anxious depression: evidence from the REST-meta-MDD project.Frontiers in psychiatry · 2025Article
- Neuroimaging for precision medicine in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Dimensional and Categorical Solutions to Parsing Depression Heterogeneity in a Large Single-Site Sample.Biological psychiatry · 2024Article
- Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety.Nature medicine · 2024Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Depressed patients show abnormalities in brain connectivity at rest, including hyperconnectivity within the default mode network (DMN). However, there is well-known heterogeneity in the clinical presentation of depression that is overlooked when averaging connectivity data. We used data-driven parsing of neural connectivity to reveal subgroups among 80 depressed patients completing resting state fMRI. Directed functional connectivity paths (eg, region A influences region B) within a depression-relevant network were characterized using Group Iterative Multiple Model Estimation, a method shown to accurately recover the direction and presence of connectivity paths in individual participants. Individuals were clustered using community detection on neural connectivity estimates. Subgroups were compared on network features and on clinical and biological/demographic characteristics that influence depression prognosis. Two subgroups emerged. Subgroup A, containing 71% of the patients, showed a typical pattern of connectivity across DMN nodes, as previously reported in depressed patients on average. Subgroup B exhibited an atypical connectivity profile lacking DMN connectivity, with increased dorsal anterior cingulate-driven connectivity paths. Subgroup B members had an over-representation of females (87% of Subgroup B vs 65% of Subgroup A; χ
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Registered trials
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.