ArticleScientific reports2024
Neural signatures of emotion regulation.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A comparison of a multivariate neural pattern versus amygdala response for regulation of negative emotion.Social cognitive and affective neuroscience · 2026Article
- Article
- Stressor-Evoked Brain Activity, Cardiovascular Reactivity, and Subclinical Atherosclerosis in Midlife Adults.Journal of the American Heart Association · 2025Article
- Expressive Suppression of Emotions in Bulimia Nervosa: An Electroencephalography Study.Journal of clinical psychology · 2025Article
- Moral emotions in mental health: regulation and mediation.Frontiers in psychology · 2025Review
- How the arts heal: a review of the neural mechanisms behind the therapeutic effects of creative arts on mental and physical health.Frontiers in behavioral neuroscience · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emotional experience is central to a fulfilling life. Although exposure to negative experiences is inevitable, an individual's emotion regulation response may buffer against psychopathology. Identification of neural activation patterns associated with emotion regulation via an fMRI task is a promising and non-invasive means of furthering our understanding of the how the brain engages with negative experiences. Prior work has applied multivariate pattern analysis to identify signatures of response to negative emotion-inducing images; we adapt these techniques to establish novel neural signatures associated with conscious efforts to modulate emotional response. We model voxel-level activation via LASSO principal components regression and linear discriminant analysis to predict if a subject was engaged in emotion regulation and to identify brain regions which define this emotion regulation signature. We train our models using 82 participants and evaluate them on a holdout sample of 40 participants, demonstrating an accuracy up to 82.5% across three classes. Our results suggest that emotion regulation produces a unique signature that is differentiable from passive viewing of negative and neutral imagery.
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Registered trials
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