ArticleJournal of affective disorders reports2023
Catch the drift: Depressive symptoms track neural response during more efficient decision-making for negative self-referents.
Article in Journal of affective disorders reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 9 citations in OpenAlex.
- Linking attention bias to youth social anxiety and depression: Insights from computational modeling of the affective Posner task.Journal of affective disorders · 2025Article
- Evaluating the relative predictive validity of measures of self-referential processing for depressive symptom severity.Frontiers in psychiatry · 2024Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Background: Adolescence is a time of heightened risk for developing depression and also a critical period for the development and integration of self-identity. Despite this, the relation between the neurophysiological correlates of self-referential processing and major depressive symptoms in youth is not well understood. Here, we leverage computational modeling of the self-referential encoding task (SRET) to identify behavioral moderators of the association between the posterior late positive potential (LPP), an event-related potential associated with emotion regulation, and youth self-reported symptoms of depression. Specifically, within a drift-diffusion framework, we evaluated whether the association between the posterior LPP and youth symptoms of major depression was moderated by drift rate, a parameter reflecting processing efficiency during self-evaluative decisions. Methods: A sample of 106 adolescents, aged 12 to 17 (53% male; Results: Findings indicated a significant moderation: for youth showing greater processing efficiency (drift rate) when responding to negative compared to positive words, larger posterior LPPs predicted greater depressive symptom severity. Limitations: We relied on a community sample and our study was cross-sectional in nature. Future longitudinal work with clinically depressed youth would be beneficial. Conclusions: Our results suggest a neurobehavioral model of adolescent depression wherein efficient processing of negative information co-occurs with increased demands on affective self-regulation. Our findings also have clinical relevance; youth's neurophysiological response (posterior LPP) and performance during the SRET may serve as a novel target for tracking treatment-related changes in one's self-identity.
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