Evidence map›Paper›PMID 40348312›Full record

ArticleBiological psychiatry2025

Parsing Clinical and Neurobiological Sources of Heterogeneity in Depression.

Kayla Hannon, Ty Easley, Wei Zhang, Daphne Lew, Aristeidis Sotiras, Yvette I Sheline, Andre Marquand, Deanna M Barch, Janine D Bijsterbosch

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kayla HannonDepartment of Radiology, Washington University School of Medicine, Saint Louis, Missouri. Electronic address: khannon@wustl.edu.
Ty EasleyDepartment of Radiology, Washington University School of Medicine, Saint Louis, Missouri.
Wei ZhangDepartment of Radiology, Washington University School of Medicine, Saint Louis, Missouri.
Daphne LewInstitute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri.
Aristeidis SotirasDepartment of Radiology, Washington University School of Medicine, Saint Louis, Missouri; Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri.
Yvette I ShelinePerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Andre MarquandDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, the Netherlands.
Deanna M BarchDepartment of Radiology, Washington University School of Medicine, Saint Louis, Missouri; Department of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri; Department of Psychological & Brain Sciences, Washington University, Saint Louis, Missouri.
Janine D BijsterboschDepartment of Radiology, Washington University School of Medicine, Saint Louis, Missouri. Electronic address: janine.bijsterbosch@wustl.edu.

Funding

The role of late life depression in cognitive decline and Alzheimer's Disease riskR01MH128286 · NIMH · WASHINGTON UNIVERSITY · PI Janine Diane Bijsterbosch · 2022 to 2026
$2.7M
NIMH NIH HHS R01 MH128286
6 · The paper itself

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.

Indexed as

BrainDepressionAdultAgedAnhedoniaFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingClusteringDepressionDWIHeterogeneityNeuroimagingrfMRI

Identifiers

PMID40348312
PMCPMC13034482

What OpenQuestion holds

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Registered trials

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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.