Evidence map›Paper›PMID 33228763›Full record

ArticleMolecular autism2020

Combined frequency-tagging EEG and eye-tracking measures provide no support for the "excess mouth/diminished eye attention" hypothesis in autism.

Sofie Vettori, Stephanie Van der Donck, Jannes Nys, Pieter Moors, Tim Van Wesemael, Jean Steyaert, Bruno Rossion, Milena Dzhelyova, Bart Boets

Open access · goldAbstract read
In one paragraph

Article in Molecular autism, 2020. 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
1.7field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  6. Integration of Facial Expression and Gaze Direction in Individuals with a High Level of Autistic Traits.International journal of environmental research and public health · 2022
    Article
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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

9 authors at 3 institutions in 2 countries.

Sofie VettoriCenter for Developmental Psychiatry, Department of Neurosciences, University of Leuven (KU Leuven), Leuven, Belgium. sofie.vettori@kuleuven.be.ORCID 0000-0002-3190-514X
Stephanie Van der DonckCenter for Developmental Psychiatry, Department of Neurosciences, University of Leuven (KU Leuven), Leuven, Belgium.
Jannes NysDepartment of Physics and Astronomy, Ghent University, Ghent, Belgium.
Pieter MoorsLaboratory of Experimental Psychology, University of Leuven (KU Leuven), Leuven, Belgium.
Tim Van WesemaelDepartment of Electrical Engineering (ESAT), Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium.
Jean SteyaertCenter for Developmental Psychiatry, Department of Neurosciences, University of Leuven (KU Leuven), Leuven, Belgium.
Bruno RossionInstitute of Research in Psychological Science, Institute of Neuroscience, University of Louvain, Louvain-La-Neuve, Belgium.
Milena DzhelyovaLeuven Autism Research (LAuRes), University of Leuven (KU Leuven), Leuven, Belgium.
Bart BoetsCenter for Developmental Psychiatry, Department of Neurosciences, University of Leuven (KU Leuven), Leuven, Belgium.
KU Leuven · BECentre National de la Recherche Scientifique · FRUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScanning faces is important for social interactions. Difficulty with the social use of eye contact constitutes one of the clinical symptoms of autism spectrum disorder (ASD). It has been suggested that individuals with ASD look less at the eyes and more at the mouth than typically developing (TD) individuals, possibly due to gaze aversion or gaze indifference. However, eye-tracking evidence for this hypothesis is mixed. While gaze patterns convey information about overt orienting processes, it is unclear how this is manifested at the neural level and how relative covert attention to the eyes and mouth of faces might be affected in ASD.

methodsWe used frequency-tagging EEG in combination with eye tracking, while participants watched fast flickering faces for 1-min stimulation sequences. The upper and lower halves of the faces were presented at 6 Hz and 7.5 Hz or vice versa in different stimulation sequences, allowing to objectively disentangle the neural saliency of the eyes versus mouth region of a perceived face. We tested 21 boys with ASD (8-12 years old) and 21 TD control boys, matched for age and IQ.

resultsBoth groups looked longer at the eyes than the mouth, without any group difference in relative fixation duration to these features. TD boys looked significantly more to the nose, while the ASD boys looked more outside the face. EEG neural saliency data partly followed this pattern: neural responses to the upper or lower face half were not different between groups, but in the TD group, neural responses to the lower face halves were larger than responses to the upper part. Face exploration dynamics showed that TD individuals mostly maintained fixations within the same facial region, whereas individuals with ASD switched more often between the face parts. LIMITATIONS: Replication in large and independent samples may be needed to validate exploratory results.

conclusionsCombined eye-tracking and frequency-tagged neural responses show no support for the excess mouth/diminished eye gaze hypothesis in ASD. The more exploratory face scanning style observed in ASD might be related to their increased feature-based face processing style.

Indexed as

ElectroencephalographyEye-Tracking TechnologyAutism Spectrum DisorderChildEyeFemaleFixation, OcularHumansMaleMouthNeuronsPhotic StimulationScalpSocial BehaviorTask Performance and Analysis

Identifiers

PMID33228763
PMCPMC7686749
OpenAlexW3108009940

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.