ArticleBiological psychiatry2025
Parsing Clinical and Neurobiological Sources of Heterogeneity in Depression.
Article in Biological psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Harnessing digital health interventions to address the heterogeneity of depression: a systematic review.Frontiers in digital health · 2025Pooled it
- Mechanism-Driven Translation of Electroacupuncture for Depression: Bridging the Gap Between Preclinical and Clinical Research.Neuropsychiatric disease and treatment · 2026Review
- Socrates' Voluntary Death - An Essential Voice Against the Pathologisation of Suicide.Europe's journal of psychology · 2025Article
- Heterogeneity Matters: Parsing One-to-One and Many-to-One Brain-Symptom Mappings in Depression.Biological psychiatry · 2025Article
- AdipoRon as a Novel Therapeutic Agent for Depression: A Comprehensive Review of Preclinical Evidence.Biomedicines · 2025Review
- Higher amplitudes of visual networks are associated with trait- but not state-depression.Psychological medicine · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
backgroundPatients with depression vary from one another in their clinical and neuroimaging presentation, but the relationship between clinical and neuroimaging sources of variation is poorly understood. Determining sources of heterogeneity in depression is important to gain insights into its diverse and complex neural etiology. In this study, we aimed to test whether depression heterogeneity is characterized by subgroups that differ both clinically and neurobiologically and/or whether multiple neuroimaging profiles give rise to the same clinical presentation.
methodsThis study utilized population-based data from the UK Biobank over multiple imaging sites. Clinically dissociated groups were selected to isolate clinical characteristics of depression (symptoms of anhedonia, depressed mood, and somatic disturbance; severity indices of lifetime chronicity and acute impairment; and late onset). Residual neuroimaging heterogeneity within each group was assessed using neuroimaging-driven clustering.
resultsThe clinically dissociated subgroups had significantly larger neuroimaging normative deviations than a comparison heterogeneous group and had distinct neuroimaging profiles from each other. Imaging-driven clustering within each clinically dissociated group identified 2 stable subtypes within the acute impairment group that differed significantly in cognitive ability despite identical clinical profiles.
conclusionsThe study identified distinct neuroimaging profiles related to particular clinical depression features that may explain inconsistencies in the literature and subclusters within the acute impairment group with cognitive differences that were only differentiable by neuroimaging. Our results provide evidence that multiple neuroimaging profiles may give rise to the same clinical presentation, emphasizing the presence of complex interactions between clinical and neuroimaging sources of heterogeneity.
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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.