Evidence map›Paper›PMID 33096149›Full record

ArticleBiological psychology2020

Interdependent self-construal predicts reduced sensitivity to norms under pathogen threat: An electrocortical investigation.

Cristina E Salvador, Brian T Kraus, Joshua M Ackerman, Michele J Gelfand, Shinobu Kitayama

Open access · greenAbstract read
In one paragraph

Article in Biological psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Influence of acculturation on the ERP correlates of self- and other-referencing.Cognitive, affective & behavioral neuroscience · 2026
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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 at 4 institutions in 1 country.

Cristina E SalvadorUniversity of Michigan, United States. Electronic address: csalvad@umich.edu.
Brian T KrausNorthwestern University, United States.
Joshua M AckermanUniversity of Michigan, United States.
Michele J GelfandUniversity of Maryland, United States.
Shinobu KitayamaUniversity of Michigan, United States. Electronic address: kitayama@umich.edu.
University of Michigan–Ann Arbor · USMichigan United · USNorthwestern University · USUniversity of Maryland, College Park · US

Funding

TRAINING PROGRAM IN THE NEUROSCIENCE OF HUMAN COGNITIONT32NS047987 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Rodrigo M Braga, Christina Maria Zelano · 2006 to 2026
$5.6M
NINDS NIH HHS T32 NS047987
6 · The paper itself

Abstract

Prior evidence suggests that external threat motivates people to monitor norm violations. However, the effect of threat may be attenuated for those high in interdependent self-construal (SC) because this SC affords a sense of protection against the threat. Here, we tested this possibility by priming or not priming young American adults with a pathogen threat. We then had participants read norm-violating or normal behaviors while assessing two electrocortical markers: N400 (indexing the detection of norm violations) and suppression of upper α-band power (indexing vigilance to the violations). In the threat priming condition, interdependent SC predicted decreased responsiveness to norm violations. In the control priming condition, however, interdependent SC predicted increased responsiveness. Our work suggests that interdependent SC may provide a sense of security under threat.

Indexed as

ElectroencephalographyEvoked PotentialsFearAdultHumansSelf ConceptUnited StatesElectroencephalographyInterdependenceSocial normsThreat

Identifiers

PMID33096149
PMCPMC7573572
OpenAlexW3093753731

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.