Evidence map›Paper›PMID 40994579›Full record

ArticleRoyal Society open science2025

Egosyntonicity and emotion regulation: a probabilistic model of valence dynamics.

Eleonora Vitanza, Chiara Mocenni, Pietro De Lellis

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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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.

Eleonora VitanzaDepartment of Information Engineering and Mathematics, University of Siena, Via Roma 56, Siena 53100, Italy.ORCID https://orcid.org/0000-0002-4229-3089
Chiara MocenniDepartment of Information Engineering and Mathematics, University of Siena, Via Roma 56, Siena 53100, Italy.ORCID https://orcid.org/0000-0002-1259-6003
Pietro De LellisDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, Naples 80125, Italy.ORCID https://orcid.org/0000-0002-2656-6454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we introduce a novel Markovian model that describes the impact of egosyntonicity on emotion dynamics. We focus on the dominant current emotion and describe the time evolution of its valence, modelled as a binary variable, where 0 and 1 correspond to negative and positive valences, respectively. In particular, the one-step transition probabilities will depend on the external events happening in daily life, the attention the individual devotes to such events, and the egosyntonicity, modelled as the agreement between the current valence and the internal mood of the individual. A steady-state analysis shows that, depending on the model parameters, four classes of individuals can be identified. Two classes are somewhat expected, corresponding to individuals spending more (less) time in egosyntonicity experiencing positive valences for longer (shorter) times. Surprisingly, two further classes emerge: the self-deluded individuals, where egosyntonicity is associated to a prevalence of negative valences, and the troubled happy individuals, where egodystonicity is associated to positive valences. These findings are aligned with the literature showing that, even if egosyntonicity typically has a positive impact in the short term, it may not always be beneficial in the long run.

Indexed as

egosyntonicityemotion dynamicsMarkov chains

Identifiers

PMID40994579
PMCPMC12457038

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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.