Evidence map›Paper›PMID 39757726›Full record

ArticlePsychological medicine2024

Higher amplitudes of visual networks are associated with trait- but not state-depression.

Wei Zhang, Rosie Dutt, Daphne Lew, Deanna M Barch, Janine D Bijsterbosch

Abstract read
In one paragraph

Article in Psychological medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Current best practices and future opportunities for reproducible findings using large-scale neuroimaging in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    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

5 authors.

Wei ZhangDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0001-6428-2033
Rosie DuttDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Daphne LewCenter for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.
Deanna M BarchDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Janine D BijsterboschDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, USA.

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
A High Performance Research Image Repository (RIR) for the Washington University Center of High Performance Computing (CHPC)S10OD030477 · OD · WASHINGTON UNIVERSITY · PI MARCUS, DANIEL SCOTT · 2021 to 2021
$1.9M
Acquisition of a next-generation computing clusterS10OD025200 · OD · WASHINGTON UNIVERSITY · PI TOBIAS, MALCOLM · 2019 to 2019
$597k
NIH HHS S10 OD025200NIH HHS S10 OD030477NIMH NIH HHS R01 MH128286
6 · The paper itself

Abstract

Despite depression being a leading cause of global disability, neuroimaging studies have struggled to identify replicable neural correlates of depression or explain limited variance. This challenge may, in part, stem from the intertwined state (current symptoms; variable) and trait (general propensity; stable) experiences of depression.Here, we sought to disentangle state from trait experiences of depression by leveraging a longitudinal cohort and stratifying individuals into four groups: those in remission ('trait depression group'), those with large longitudinal severity changes in depression symptomatology ('state depression group'), and their respective matched control groups (total analytic

Indexed as

BrainDepressionNerve NetAdultFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedYoung Adultbrain networkdepressionneuroimagingPROFUMOresting-state fMRIstate depressiontrait depressionUK Biobank

Identifiers

PMID39757726
PMCPMC11769906

What OpenQuestion holds

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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.