Evidence map›Paper›PMID 32352984›Full record

ArticlePloS one2020

A relationship between Autism-Spectrum Quotient and face viewing behavior in 98 participants.

Kira Wegner-Clemens, Johannes Rennig, Michael S Beauchamp

Abstract read
In one paragraph

Article in PloS one, 2020. 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.

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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

3 authors.

Kira Wegner-ClemensDepartment of Neurosurgery and Core for Advanced MRI, Baylor College of Medicine, Houston, Texas, United States of America.ORCID 0000-0001-9521-755X
Johannes RennigDepartment of Neurosurgery and Core for Advanced MRI, Baylor College of Medicine, Houston, Texas, United States of America.
Michael S BeauchampDepartment of Neurosurgery and Core for Advanced MRI, Baylor College of Medicine, Houston, Texas, United States of America.ORCID 0000-0002-7599-9934

Funding

NEURAL SUBSTRATES OF OPTIMAL MULTISENSORY INTEGRATIONR01NS065395 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Michael S Beauchamp · 2010 to 2026
$5.5M
NINDS NIH HHS R01 NS065395
6 · The paper itself

Abstract

Faces are one of the most important stimuli that we encounter, but humans vary dramatically in their behavior when viewing a face: some individuals preferentially fixate the eyes, others fixate the mouth, and still others show an intermediate pattern. The determinants of these large individual differences are unknown. However, individuals with Autism Spectrum Disorder (ASD) spend less time fixating the eyes of a viewed face than controls, suggesting the hypothesis that autistic traits in healthy adults might explain individual differences in face viewing behavior. Autistic traits were measured in 98 healthy adults recruited from an academic setting using the Autism-Spectrum Quotient, a validated 50-statement questionnaire. Fixations were measured using a video-based eye tracker while participants viewed two different types of audiovisual movies: short videos of talker speaking single syllables and longer videos of talkers speaking sentences in a social context. For both types of movies, there was a positive correlation between Autism-Spectrum Quotient score and percent of time fixating the lower half of the face that explained from 4% to 10% of the variance in individual face viewing behavior. This effect suggests that in healthy adults, autistic traits are one of many factors that contribute to individual differences in face viewing behavior.

Indexed as

AttentionFaceAdolescentAdultAutism Spectrum DisorderEye MovementsFemaleHumansMaleMiddle AgedYoung Adult

Identifiers

PMID32352984
PMCPMC7192493

What OpenQuestion holds

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Registered trials

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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.