Evidence map›Paper›PMID 35001710›Full record

ArticlePsychological science2022

Physiological Responses to a Haunted-House Threat Experience: Distinct Tonic and Phasic Effects.

Sarah M Tashjian, Virginia Fedrigo, Tanaz Molapour, Dean Mobbs, Colin F Camerer

Abstract read
In one paragraph

Article in Psychological science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Pandora's Box.BJPsych international · 2022
    Article
  8. 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

5 authors.

Sarah M TashjianDivision of the Humanities and Social Sciences, California Institute of Technology.ORCID 0000-0002-0946-6662
Virginia FedrigoDivision of the Humanities and Social Sciences, California Institute of Technology.
Tanaz MolapourDivision of the Humanities and Social Sciences, California Institute of Technology.
Dean MobbsDivision of the Humanities and Social Sciences, California Institute of Technology.
Colin F CamererDivision of the Humanities and Social Sciences, California Institute of Technology.ORCID 0000-0003-4049-1871

Funding

The Neurobiology of Social Decision-Making: Social Inference and ContextP50MH094258 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI O'DOHERTY, JOHN P · 2012 to 2021
$18.6M
NIMH NIH HHS P50 MH094258
6 · The paper itself

Abstract

Threats elicit physiological responses, the frequency and intensity of which have implications for survival. Ethical and practical limitations on human laboratory manipulations present barriers to studying immersive threat. Furthermore, few investigations have examined group effects and concordance with subjective emotional experiences to threat. The current preregistered study measured electrodermal activity in 156 adults while they participated in small groups in a 30-min haunted-house experience involving various immersive threats. Results revealed positive associations between (a) friends and tonic arousal, (b) unexpected attacks and phasic activity (frequency and amplitude), (c) subjective fear and phasic frequency, and (d) dissociable sensitization effects linked to baseline orienting response. Findings demonstrate the relevance of (a) social dynamics (friends vs. strangers) for tonic arousal and (b) subjective fear and threat predictability for phasic arousal.

Indexed as

ArousalGalvanic Skin ResponseAdultEmotionsFearHumansfearopen dataopen materialsphysiologypreregisteredskin conductancesocialthreat

Identifiers

PMID35001710
PMCPMC9096462

What OpenQuestion holds

Textmetadata
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.