Evidence map›Paper›PMID 34708477›Full record

ArticleHuman brain mapping2022

Mental health in the UK Biobank: A roadmap to self-report measures and neuroimaging correlates.

Rosie K Dutt, Kayla Hannon, Ty O Easley, Joseph C Griffis, Wei Zhang, Janine D Bijsterbosch

Abstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–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

37 citing papers in PubMed.

  1. Article
  2. Exposome factors predict the association between sleep health and depression.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Profiles of Aging Based on Cognition, Affect, and Brain Reserve.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

6 authors.

Rosie K DuttDepartment of Radiology, Washington University School of Medicine, Saint Louis, Missouri, USA.ORCID 0000-0002-9887-9513
Kayla HannonDepartment of Radiology, Washington University School of Medicine, Saint Louis, Missouri, USA.
Ty O EasleyDepartment of Radiology, Washington University School of Medicine, Saint Louis, Missouri, USA.ORCID 0000-0002-8215-2598
Joseph C GriffisDepartment of Radiology, Washington University School of Medicine, Saint Louis, Missouri, USA.ORCID 0000-0002-5548-1169
Wei ZhangDepartment of Radiology, Washington University School of Medicine, Saint Louis, Missouri, USA.
Janine D BijsterboschDepartment of Radiology, Washington University School of Medicine, Saint Louis, Missouri, USA.

Funding

Understanding overlap in resting state fMRI networks at the single cell level: a cross-species approachR34NS118618 · NINDS · WASHINGTON UNIVERSITY · PI BIJSTERBOSCH, JANINE DIANE, SNYDER, LAWRENCE H · 2020 to 2020
$709k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIH HHS 1 R34 NS118618-01NINDS NIH HHS R34 NS118618
6 · The paper itself

Abstract

The UK Biobank (UKB) is a highly promising dataset for brain biomarker research into population mental health due to its unprecedented sample size and extensive phenotypic, imaging, and biological measurements. In this study, we aimed to provide a shared foundation for UKB neuroimaging research into mental health with a focus on anxiety and depression. We compared UKB self-report measures and revealed important timing effects between scan acquisition and separate online acquisition of some mental health measures. To overcome these timing effects, we introduced and validated the Recent Depressive Symptoms (RDS-4) score which we recommend for state-dependent and longitudinal research in the UKB. We furthermore tested univariate and multivariate associations between brain imaging-derived phenotypes (IDPs) and mental health. Our results showed a significant multivariate relationship between IDPs and mental health, which was replicable. Conversely, effect sizes for individual IDPs were small. Test-retest reliability of IDPs was stronger for measures of brain structure than for measures of brain function. Taken together, these results provide benchmarks and guidelines for future UKB research into brain biomarkers of mental health.

Indexed as

Biological Specimen BanksDatabases, FactualSelf ReportAgedBrainDepressionFemaleHumansMaleMental DisordersMiddle AgedNeuroimagingReproducibility of ResultsUnited Kingdombrain correlatesdepressionmental healthreplicationtest-retestUK Biobank

Identifiers

PMID34708477
PMCPMC8720192

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.