Evidence map›Paper›PMID 41444360›Full record

ArticleScientific reports2025

Creative and depressive profiles shape divergent thinking in emotion regulation idea generation.

Lucas Bellaiche, Leonard Faul, Kevin S LaBar

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Lucas BellaicheDepartment of Psychology and Neuroscience, Duke University, 417 Chapel Drive, Durham, NC, USA.
Leonard FaulDepartment of Psychology and Neuroscience, Boston College, Boston, MA, USA.
Kevin S LaBarDepartment of Psychology and Neuroscience, Duke University, 417 Chapel Drive, Durham, NC, USA. klabar@duke.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emotion regulation (ER) is a multi-faceted process, though its generative component-wherein one ideates situation-specific regulatory options ("techniques")-is poorly understood. Through a novel task (ERGen), we evaluated ER repertoires based on the techniques that individuals generate to regulate their emotional response to negative scenarios. We hypothesized these repertoires to be sensitive to creative (divergent-thinking originality) ability and depression symptoms in our online adult sample (N = 143). Human raters and a generative pre-trained transformer (GPT-4o) coded each generated technique (n = 7854) into one of 14 regulatory strategies to model repertoire richness (strategy diversity) and size (technique count). Individuals higher in creativity showed more prolific technique generation across many strategies, whereas individuals with more depressive symptoms showed altered generation within specific strategies, and reduced deviation from habitual ER tendencies. These findings highlight an untapped research sphere that can motivate new intervention targets in affective disorders, including divergent-thinking ability.

Indexed as

CreativityDepressionEmotional RegulationThinkingAdolescentAdultEmotionsFemaleHumansMaleMiddle AgedYoung AdultCreativityDepressionDivergent thinkingEmotion regulationGPTIdea generation

Identifiers

PMID41444360
PMCPMC12820291

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.