Evidence map›Paper›PMID 26593094›Full record

ArticleNeuron2015

Atypical Visual Saliency in Autism Spectrum Disorder Quantified through Model-Based Eye Tracking.

Shuo Wang, Ming Jiang, Xavier Morin Duchesne, Elizabeth A Laugeson, Daniel P Kennedy, Ralph Adolphs, Qi Zhao

Abstract read
In one paragraph

Article in Neuron, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 2 pooled it
–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

134 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Atypical Attentional Effort During Visual Search in Autistic Adults: Evidence From Task-Evoked Pupillary Responses.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  5. Article
  6. Conceptual priorities shape individual gaze patterns during naturalistic visual attention.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  12. Visual attention graph.Behavior research methods · 2025
    Article
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74 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Shuo WangComputation and Neural Systems, California Institute of Technology, Pasadena, CA 91125, USA; Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA.
Ming JiangDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Xavier Morin DuchesneDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.
Elizabeth A LaugesonDepartment of Psychiatry and PEERS Clinic, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA 90024, USA.
Daniel P KennedyDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.
Ralph AdolphsComputation and Neural Systems, California Institute of Technology, Pasadena, CA 91125, USA; Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA.
Qi ZhaoDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore. Electronic address: dr.qizhao@gmail.com.

Funding

The Neurobiology of Social Decision-Making: Social Inference and ContextP50MH094258 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI MOBBS, DEAN · 2012 to 2021
$18.6M
Investigating Brain Connectivity in Autism at the Whole-Brain LevelR00MH094409 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI KENNEDY, DANIEL PATRICK · 2012 to 2014
$714k
Investigating Brain Connectivity in Autism at the Whole-Brain LevelK99MH094409 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI KENNEDY, DANIEL PATRICK · 2011 to 2012
$179k
NIMH NIH HHS K99 MH094409NIMH NIH HHS K99MH094409NIMH NIH HHS P50 MH094258NIMH NIH HHS R00 MH094409NIMH NIH HHS R00MH094409
6 · The paper itself

Abstract

The social difficulties that are a hallmark of autism spectrum disorder (ASD) are thought to arise, at least in part, from atypical attention toward stimuli and their features. To investigate this hypothesis comprehensively, we characterized 700 complex natural scene images with a novel three-layered saliency model that incorporated pixel-level (e.g., contrast), object-level (e.g., shape), and semantic-level attributes (e.g., faces) on 5,551 annotated objects. Compared with matched controls, people with ASD had a stronger image center bias regardless of object distribution, reduced saliency for faces and for locations indicated by social gaze, and yet a general increase in pixel-level saliency at the expense of semantic-level saliency. These results were further corroborated by direct analysis of fixation characteristics and investigation of feature interactions. Our results for the first time quantify atypical visual attention in ASD across multiple levels and categories of objects.

Indexed as

AdultAutism Spectrum DisorderEye MovementsFemaleFixation, OcularHumansMaleMiddle AgedPhotic StimulationVisual PerceptionYoung Adultattentionautism spectrum disordercenter biaseye trackingfacessaliencysemanticssocial cognition

Identifiers

PMID26593094
PMCPMC4662072

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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.