ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2022
Association Between a Directly Translated Cognitive Measure of Negative Bias and Self-reported Psychiatric Symptoms.
Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- Smart sensing the spectrum: cutting-edge biosensor and biomarker approaches for early autism detection.Metabolic brain disease · 2026Review
- Optimism and pessimism: a concept for behavioural ecology.Biological reviews of the Cambridge Philosophical Society · 2025Review
- In the face of ambiguity: intrinsic brain organization in development predicts one's bias toward positivity or negativity.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Test-Retest Reliability of Two Computationally-Characterised Affective Bias Tasks.Computational psychiatry (Cambridge, Mass.) · 2024Article
- Reward Sensitivity and Noise Contribute to Negative Affective Bias: A Learning Signal Detection Theory Approach in Decision-Making.Computational psychiatry (Cambridge, Mass.) · 2024Article
- Affect-congruent attention modulates generalized reward expectations.PLoS computational biology · 2023Article
- Identifying Transdiagnostic Mechanisms in Mental Health Using Computational Factor Modeling.Biological psychiatry · 2023Review
- Smartphones and the Neuroscience of Mental Health.Annual review of neuroscience · 2021Article
- Social connectedness and negative affect uniquely explain individual differences in response to emotional ambiguity.Scientific reports · 2021Article
- The Importance of Common Currency Tasks in Translational Psychiatry.Current behavioral neuroscience reports · 2021Review
- Affective Bias Through the Lens of Signal Detection Theory.Computational psychiatry (Cambridge, Mass.) · 2021Article
- Associations between aversive learning processes and transdiagnostic psychiatric symptoms in a general population sample.Nature communications · 2020Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundNegative interpretation biases are thought to be core symptoms of mood and anxiety disorders. However, prior work using cognitive tasks to measure such biases is largely restricted to case-control group studies, which cannot be used for inference about individuals without considerable additional validation. Moreover, very few measures are fully translational (i.e., can be used across animals and humans in treatment-development pipelines). This investigation aimed to produce the first measure of negative cognitive biases that is both translational and sensitive to individual differences, and then to determine which specific self-reported psychiatric symptoms are related to bias.
methodsA total of 1060 (n = 990 complete) participants performed a cognitive task of negative bias along with psychiatric symptom questionnaires. We tested the hypothesis that individual levels of mood and anxiety disorder symptomatology would covary positively with negative bias on the cognitive task using a combination of computational modeling of behavior, confirmatory factor analysis, exploratory factor analysis, and structural equation modeling.
resultsParticipants with higher depression symptoms (β = -0.16, p = .017) who were older (β = -0.11, p = .001) and had lower IQ (β = 0.14, p < .001) showed greater negative bias. Confirmatory factor analysis and structural equation modeling suggested that no other psychiatric symptom (or transdiagnostic latent factor) covaried with task performance over and above the effect of depression, while exploratory factor analysis suggested combining depression/anxiety symptoms in a single latent factor. Generating groups using symptom cutoffs or latent mixture modeling recapitulated our prior case-control findings.
conclusionsThis measure, which uniquely spans both the clinical group-to-individual and preclinical animal-to-human generalizability gaps, can be used to measure individual differences in depression vulnerability for translational treatment-development pipelines.
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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 Socratic graph.