Evidence map›Paper›PMID 38298800›Full record

ArticleBiological psychiatry global open science2024

Knowledge of Threat Biases Perceptual Decision Making in Anxiety: Evidence From Signal Detection Theory and Drift Diffusion Modeling.

Sekine Ozturk, Xian Zhang, Shannon Glasgow, Ramesh R Karnani, Gabriella Imbriano, Christian Luhmann, Jingwen Jin, Aprajita Mohanty

Abstract read
In one paragraph

Article in Biological psychiatry global open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. What Do We Know About Threat-Related Perceptual Decision Making?Current directions in psychological science · 2023
    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.

Sekine OzturkDepartment of Psychology, Stony Brook University, Stony Brook, New York.
Xian ZhangDepartment of Psychology, Stony Brook University, Stony Brook, New York.
Shannon GlasgowDepartment of Psychology, Stony Brook University, Stony Brook, New York.
Ramesh R KarnaniDepartment of Psychology, The University of Hong Kong, Hong Kong SAR, China.
Gabriella ImbrianoDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California.
Christian LuhmannDepartment of Psychology, Stony Brook University, Stony Brook, New York.
Jingwen JinDepartment of Psychology, The University of Hong Kong, Hong Kong SAR, China.
Aprajita MohantyDepartment of Psychology, Stony Brook University, Stony Brook, New York.

Funding

Role of top-down factors in threat perception in anxietyR21MH111999 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI MOHANTY, APRAJITA · 2018 to 2019
$430k
NIMH NIH HHS R21 MH111999
6 · The paper itself

Abstract

Background: Threat biases are considered key factors in the development and maintenance of anxiety. However, these biases are poorly operationalized and remain unquantified. Furthermore, it is unclear whether and how prior knowledge of threat and its uncertainty induce these biases and how they manifest in anxiety. Method: Participants ( Results: High-uncertainty threat cues improved discrimination of subsequent threatening and neutral stimuli more than neutral cues. However, anxiety was associated with worse discrimination of threatening versus neutral stimuli following high-uncertainty threat cues. Using hierarchical drift diffusion modeling, we found that threat cues biased decision making not only by shifting the starting point of evidence accumulation toward the threat decision but also by increasing the efficiency with which sensory evidence was accumulated for both threat-related and neutral decisions. However, higher anxiety was associated with a greater shift of starting point toward the threat decision but not with the efficiency of evidence accumulation. Conclusions: Using computational modeling, these results highlight the biases by which knowledge regarding uncertain threat improves perceptual decision making but impairs it in case of anxiety.

Indexed as

AnxietyComputational modelingDrift diffusion modelingPerceptual decision makingThreat biasUncertainty

Identifiers

PMID38298800
PMCPMC10829620

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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.