ReviewFrontiers in psychology2023
Rethinking the risk for depression using the RDoC: A psychophysiological perspective.
Review in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Physiological responses to acute psychological stress as a biomarker for depression: A systematic review and meta-analysis.Psychological bulletinPooled it
- Affective Processing in Depression Risk: Insights From Event-Related Potentials.Psychophysiology · 2026Article
- Inflammatory models of depression in rodents and humans.Frontiers in psychiatry · 2026Review
- Case management of ultra-processed food addiction: a theoretical perspective.Frontiers in public health · 2026Review
- The Research Domain Criteria (RDoC) domains positive valence system, negative valence system, cognitive systems, and social processes and their relationship with stress, anxiety, and depressive symptoms in a university student sample.Frontiers in psychiatry · 2026Article
- From Theory to Practice: Developing the MOBILE Intervention for Adults with Depression.Healthcare (Basel, Switzerland) · 2025Article
- Acupuncture effects on emotional reactivity of youth with self-reported depressive symptoms.Psychoradiology · 2025Article
- Familial risk for depression is associated with reduced physical activity in young adults: evidence from a wrist-worn actigraphy study.Translational psychiatry · 2024Article
- Latent profiles of regulatory flexibility in alcohol use disorder: Associations with delay discounting and symptoms of depression, anxiety, and stress.Alcohol, clinical & experimental research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Considering that the classical categorical approach to mental disorders does not allow a clear identification of at-risk conditions, the dimensional approach provided by the Research Domain Criteria (RDoC) is useful in the exploration of vulnerability to psychopathology. In the RDoC era, psychophysiological models have an important role in the reconceptualization of mental disorders. Indeed, progress in the study of depression vulnerability has increasingly been informed by psychophysiological models. By adopting an RDoC lens, this narrative review focuses on how psychophysiological models can be used to advance our knowledge of the pathophysiological mechanisms underlying depression vulnerability. Findings from psychophysiological research that explored multiple RDoC domains in populations at-risk for depression are reviewed and discussed. Future directions for the application of psychophysiological research in reaching a more complete understanding of depression vulnerability and, ultimately, improving clinical utility, are presented.
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What OpenQuestion holds
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.