Evidence map›Paper›PMID 37903023›Full record

ArticleJournal of personality disorders2023

Modulation of Trust in Borderline Personality Disorder by Script-Based Imaginal Exposure to Betrayal.

Rosa Shapiro-Thompson, Tanya V Shah, Caroline Yi, Nasir Jackson, Daniel Trujillo Diaz, Sarah K Fineberg

Open access · greenAbstract read
In one paragraph

Article in Journal of personality disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

6 authors at 4 institutions in 2 countries.

Rosa Shapiro-ThompsonDepartment of Psychiatry, Yale University, New Haven, Connecticut.
Tanya V ShahDepartment of Psychiatry, Yale University, New Haven, Connecticut.
Caroline YiYale College.
Nasir JacksonDepartment of Psychiatry, Yale University, New Haven, Connecticut.
Daniel Trujillo DiazDepartment of Psychiatry, Yale University, New Haven, Connecticut.
Sarah K FinebergDepartment of Psychiatry, Yale University, New Haven, Connecticut.
Yale University · USMeharry Medical College · USPomona College · USYale-NUS College · SG

Funding

Modeling learning under volatility in Borderline Personality DisorderK23MH123760 · NIMH · YALE UNIVERSITY · PI FINEBERG, SARAH K · 2020 to 2024
$959k
NIMH NIH HHS K23 MH123760
6 · The paper itself

Abstract

Interpersonal and trust-related difficulties are central features of borderline personality disorder (BPD). In this study, we applied script-driven betrayal imagery to evoke mistrustful behavior in a social reinforcement learning task. In 21 BPD and 20 healthy control (HC) participants, we compared this approach to the standard confederate paradigm used in research studies. The script-driven imagery evoked a transient increase in negative affect and also decreased trusting behavior to a similar degree in both groups. Across conditions, we also replicated previously reported between-group differences in negative affect (increased in BPD) and task behavior (more sensitive to social cues in BPD). These results support the validity of script-driven imagery as an alternative social task stimulus. This script-driven imagery approach is appealing for clinical research studies on reinforcement learning because it eliminates deception, scales easily, and evokes disorder-specific states of social difficulty.

Indexed as

Borderline Personality DisorderTrustBetrayalHumansborderline personality disorderconfederatereinforcement learningscript-driven imagerysocial learningtrust

Identifiers

PMID37903023
PMCPMC11002460
OpenAlexW4388024993

What OpenQuestion holds

Textmetadata
LicenceTDM
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.