Evidence map›Paper›PMID 33946423›Full record

ArticleBrain sciences2021

Perseverative Cognition in the Positive Valence Systems: An Experimental and Ecological Investigation.

Martino Schettino, Valerio Ghezzi, Yuen-Siang Ang, Jessica M Duda, Sabrina Fagioli, Douglas S Mennin, Diego A Pizzagalli, Cristina Ottaviani

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Article
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

8 authors at 7 institutions in 3 countries.

Martino SchettinoDepartment of Psychology, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-1477-0327
Valerio GhezziDepartment of Psychology, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0003-2457-7923
Yuen-Siang AngDepartment of Social and Cognitive Computing, Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.ORCID 0000-0002-9353-6837
Jessica M DudaCenter for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA 02478, USA.ORCID 0000-0001-5455-1607
Sabrina FagioliDepartment of Education, University of Roma Tre, 00185 Rome, Italy.ORCID 0000-0002-6381-0989
Douglas S MenninTeachers College, Columbia University, New York, NY 10027, USA.
Diego A PizzagalliCenter for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA 02478, USA.ORCID 0000-0002-7772-1143
Cristina OttavianiDepartment of Psychology, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-5240-4387
Sapienza University of Rome · ITAgency for Science, Technology and Research · SGColumbia University · USFondazione Santa Lucia · ITHarvard University · USMcLean Hospital · USRoma Tre University · IT

Funding

Sapienza Università di Roma RM11715C7F74C683Sapienza Università di Roma RM11916B8904B1F3
6 · The paper itself

Abstract

Perseverative cognition (PC) is a transdiagnostic risk factor that characterizes both hypo-motivational (e.g., depression) and hyper-motivational (e.g., addiction) disorders; however, it has been almost exclusively studied within the context of the negative valence systems. The present study aimed to fill this gap by combining laboratory-based, computational and ecological assessments. Healthy individuals performed the Probabilistic Reward Task (PRT) before and after the induction of PC or a waiting period. Computational modeling was applied to dissociate the effects of PC on reward sensitivity and learning rate. Afterwards, participants underwent a one-week ecological momentary assessment of daily PC occurrence, as well as anticipatory and consummatory reward-related behavior. Induction of PC led to increased response bias on the PRT compared to waiting, likely due to an increase in learning rate but not in reward sensitivity, as suggested by computational modeling. In daily-life, PC increased the discrepancy between expected and obtained rewards (i.e., prediction error). Current converging experimental and ecological evidence suggests that PC is associated with abnormalities in the functionality of positive valence systems. Given the role of PC in the prediction, maintenance, and recurrence of psychopathology, it would be clinically valuable to extend research on this topic beyond the negative valence systems.

Indexed as

ecological momentary assessmentperseverative cognitionpositive valence systemsprobabilistic reward taskRDoCreward prediction error, transdiagnostic psychiatry

Identifiers

PMID33946423
PMCPMC8147166
OpenAlexW3159166473

What OpenQuestion holds

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LicenceCC BY
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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.