ArticleJournal of abnormal psychology2019
Association between negative cognitive bias and depression: A symptom-level approach.
Article in Journal of abnormal psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07139834 (Examining the Effects of Escitalopram and Memantine on Pattern Separation in Major Depressive Disorder), which is not on this map. Cited by 59 papers.
What it found
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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.
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.
Examining the Effects of Escitalopram and Memantine on Pattern Separation in Major Depressive Disorder
Who cites it
59 citing papers in PubMed, 130 citations in OpenAlex.
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- Integrating cognitive bias modification for pain and opioid cues into medication for opioid use disorder clinical care: Feasibility, acceptability, and preliminary results.Drug and alcohol dependence · 2023Trial
- Differences in how NMDA antagonists modulate negative affective biases in male rats may serve as a predictor of clinical efficacy in major depressive disorder.Translational psychiatry · 2026Article
- Effects of future time perspective on depression in college students: the mediating role of emotional intelligence and moderating role of physical exercise.BMC psychology · 2026Article
- Negative Hits Hit Different.Affective science · 2026Article
- Loneliness is linked to psychological pain in both euthymic patients and healthy controls: a cross-sectional study.BMC psychiatry · 2026Article
- Depression symptoms are associated with affective neural processing during sleep and rest.bioRxiv : the preprint server for biology · 2026Article
- Characterizing and predicting refractory rumination in obsessive compulsive disorder.Journal of affective disorders · 2026Article
- Differential Patterns of Social Attention and Memory Profiles in Depression: Evidence From Third-Person Social Interaction Processing.Depression and anxiety · 2026Article
- Association Between Sleep Quality and Cognitive Function in Patients with Hypertension in Rural Areas of Shanxi Province, China: The Chain Mediating Role of Anxiety and Depression.Psychology research and behavior management · 2026Article
- Psychometric Properties of a Novel Affective Bias Task and Its Application in Clinical and Nonclinical Populations.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- The Path from Depressive Symptoms to Subjective Well-Being Among Korean Young Adults During the COVID-19 Pandemic: Mediating Roles of Housing Satisfaction, Social Capital, Future Achievement Readiness, and Occupational Hazards.Healthcare (Basel, Switzerland) · 2025Article
- Psychological Well-Being and Life Satisfaction in Children and Adolescents with Chronic Illness: The Role of Depression, Nonproductive Thoughts, and Problematic Internet Use.Children (Basel, Switzerland) · 2025Article
- Neural processing of laughter in depression.Scientific reports · 2025Article
- Impaired emotional response inhibition among adolescents with bipolar depression: evidence from event-related potentials and behavioral performance.BMC psychiatry · 2025Article
- Loneliness trajectories and psychological distress in youth: Longitudinal evidence from a population-based sample.The British journal of developmental psychology · 2025Article
- Article
- Tell me why: the missing w in episodic memory's what, where, and when.Cognitive, affective & behavioral neuroscience · 2025Review
- The effects of shared, depression-specific, and anxiety-specific internalizing symptoms on negative and neutral episodic memories following post-learning sleep.Cognitive, affective & behavioral neuroscience · 2025Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
Cognitive models of depression posit that negatively biased self-referent processing and attention have important roles in the disorder. However, depression is a heterogeneous collection of symptoms and all symptoms are unlikely to be associated with these negative cognitive biases. The current study involved 218 community adults whose depression ranged from no symptoms to clinical levels of depression. Random forest machine learning was used to identify the most important depression symptom predictors of each negative cognitive bias. Depression symptoms were measured with the Beck Depression Inventory-II. Model performance was evaluated using predictive R-squared (Rpred2), the expected variance explained in data not used to train the algorithm, estimated by 10 repetitions of 10-fold cross-validation. Using the self-referent encoding task (SRET), depression symptoms explained 34% to 45% of the variance in negative self-referent processing. The symptoms of sadness, self-dislike, pessimism, feelings of punishment, and indecision were most important. Notably, many depression symptoms made virtually no contribution to this prediction. In contrast, for attention bias for sad stimuli, measured with the dot-probe task using behavioral reaction time (RT) and eye gaze metrics, no reliable symptom predictors were identified. Findings indicate that a symptom-level approach may provide new insights into which symptoms, if any, are associated with negative cognitive biases in depression. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Registered trials
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.