Evidence map›Paper›PMID 31106040›Full record

ArticleClinical psychological science : a journal of the Association for Psychological Science2018

Attention Bias in Rumination and Depression: Cognitive Mechanisms and Brain Networks.

Roselinde H Kaiser, Hannah R Snyder, Franziska Goer, Rachel Clegg, Manon Ironside, Diego A Pizzagalli

Abstract read
In one paragraph

Article in Clinical psychological science : a journal of the Association for Psychological Science, 2018. 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.

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  14. Differences in resting state and task-based EEG measures between patients with major depressive disorder and healthy controls.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    Article
  15. Article
  16. Article
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  18. Rumination and Overrecruitment of Cognitive Control Circuits in Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
    Article
  19. Article
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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.

Roselinde H KaiserDepartment of Psychology and Neuroscience, University of Colorado Boulder.
Hannah R SnyderDepartment of Psychology, Brandeis University.
Franziska GoerCenter for Depression, Anxiety and Stress Research, McLean Hospital.
Rachel CleggCenter for Depression, Anxiety and Stress Research, McLean Hospital.
Manon IronsideCenter for Depression, Anxiety and Stress Research, McLean Hospital.
Diego A PizzagalliCenter for Depression, Anxiety and Stress Research, McLean Hospital.

Funding

Early Life Stress and Depression: Molecular and Functional Imaging ApproachesR01MH095809 · NIMH · MCLEAN HOSPITAL · PI DU, FEI, PIZZAGALLI, DIEGO A · 2012 to 2024
$6.4M
NIMH NIH HHS R01 MH095809
6 · The paper itself

Abstract

Depressed individuals exhibit biased attention to negative emotional information. However, much remains unknown about (1) the neurocognitive mechanisms of attention bias (e.g., qualities of negative information that evoke attention bias, or functional brain network dynamics that may reflect a propensity for biased attention) and (2) distinctions in the types of attention bias related to different dimensions of depression (e.g., ruminative depression). Here, in 50 women, clinical depression was associated with facilitated processing of negative information only when such information was self-descriptive and task-relevant. However, among depressed individuals, trait rumination was associated with biases towards negative self-descriptive information regardless of task goals, especially when negative self-descriptive material was paired with self-referential images that should be ignored. Attention biases in ruminative depression were mediated by dynamic variability in frontoinsular resting-state functional connectivity. These findings highlight potential cognitive and functional network mechanisms of attention bias specifically related to the ruminative dimension of depression.

Indexed as

attention biascognitive biasdepressionfunctional connectivityrumination

Identifiers

PMID31106040
PMCPMC6519952

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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.