The geometric preference subtype in ASD: identifying a consistent, early-emerging phenomenon through eye tracking
- PMID: 29581878
- PMCID: PMC5861622
- DOI: 10.1186/s13229-018-0202-z
The geometric preference subtype in ASD: identifying a consistent, early-emerging phenomenon through eye tracking
Abstract
Background: The wide range of ability and disability in ASD creates a need for tools that parse the phenotypic heterogeneity into meaningful subtypes. Using eye tracking, our past studies revealed that when presented with social and geometric images, a subset of ASD toddlers preferred viewing geometric images, and these toddlers also had greater symptom severity than ASD toddlers with greater social attention. This study tests whether this "GeoPref test" effect would generalize across different social stimuli.
Methods: Two hundred and twenty-seven toddlers (76 ASD) watched a 90-s video, the Complex Social GeoPref test, of dynamic geometric images paired with social images of children interacting and moving. Proportion of visual fixation time and number of saccades per second to both images were calculated. To allow for cross-paradigm comparisons, a subset of 126 toddlers also participated in the original GeoPref test. Measures of cognitive and social functioning (MSEL, ADOS, VABS) were collected and related to eye tracking data. To examine utility as a diagnostic indicator to detect ASD toddlers, validation statistics (e.g., sensitivity, specificity, ROC, AUC) were calculated for the Complex Social GeoPref test alone and when combined with the original GeoPref test.
Results: ASD toddlers spent a significantly greater amount of time viewing geometric images than any other diagnostic group. Fixation patterns from ASD toddlers who participated in both tests revealed a significant correlation, supporting the idea that these tests identify a phenotypically meaningful ASD subgroup. Combined use of both original and Complex Social GeoPref tests identified a subgroup of about 1 in 3 ASD toddlers from the "GeoPref" subtype (sensitivity 35%, specificity 94%, AUC 0.75.) Replicating our previous studies, more time looking at geometric images was associated with significantly greater ADOS symptom severity.
Conclusions: Regardless of the complexity of the social images used (low in the original GeoPref test vs high in the new Complex Social GeoPref test), eye tracking of toddlers can accurately identify a specific ASD "GeoPref" subtype with elevated symptom severity. The GeoPref tests are predictive of ASD at the individual subject level and thus potentially useful for various clinical applications (e.g., early identification, prognosis, or development of subtype-specific treatments).
Keywords: Autism spectrum disorder; Early identification; Eye tracking; Geometric preference; Social attention.
Conflict of interest statement
This study was approved by the University of California, San Diego, Human Subjects Research Protection Program (IRB #081722). Legal guardians of all participants gave written informed consent.Written informed consent was received for publication of their images in Fig. 1b and Additional file 1: Figure S1 and Additional file 2 of this manuscript from parents/legal guardians of the children. The consent forms are held by the authors and are available for review by the Editor-in-Chief.An invention disclosure form was filed by KP with the University of California, San Diego, on March 5, 2010, and the original GeoPref test is licensed by the University of California, San Diego, but free for research use. The other authors declare that they have no competing interests.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Figures
Similar articles
-
Eye Tracking Reveals Abnormal Visual Preference for Geometric Images as an Early Biomarker of an Autism Spectrum Disorder Subtype Associated With Increased Symptom Severity.Biol Psychiatry. 2016 Apr 15;79(8):657-66. doi: 10.1016/j.biopsych.2015.03.032. Epub 2015 Apr 11. Biol Psychiatry. 2016. PMID: 25981170 Free PMC article.
-
Large scale validation of an early-age eye-tracking biomarker of an autism spectrum disorder subtype.Sci Rep. 2022 Mar 11;12(1):4253. doi: 10.1038/s41598-022-08102-6. Sci Rep. 2022. PMID: 35277549 Free PMC article.
-
Preference for geometric patterns early in life as a risk factor for autism.Arch Gen Psychiatry. 2011 Jan;68(1):101-9. doi: 10.1001/archgenpsychiatry.2010.113. Epub 2010 Sep 6. Arch Gen Psychiatry. 2011. PMID: 20819977 Free PMC article.
-
Gaze and social functioning associations in autism spectrum disorder: A systematic review and meta-analysis.Autism Res. 2022 Aug;15(8):1380-1446. doi: 10.1002/aur.2729. Epub 2022 May 20. Autism Res. 2022. PMID: 35593039 Free PMC article. Review.
-
Neurobiological Bases of Autism Spectrum Disorders and Implications for Early Intervention: A Brief Overview.Folia Phoniatr Logop. 2017;69(1-2):38-42. doi: 10.1159/000479181. Epub 2017 Dec 15. Folia Phoniatr Logop. 2017. PMID: 29248932 Review.
Cited by
-
A clustering approach identifies an Autism Spectrum Disorder subtype more responsive to chronic oxytocin treatment.Transl Psychiatry. 2024 Jul 29;14(1):312. doi: 10.1038/s41398-024-03025-4. Transl Psychiatry. 2024. PMID: 39075076 Free PMC article. Clinical Trial.
-
Default mode-visual network hypoconnectivity in an autism subtype with pronounced social visual engagement difficulties.Elife. 2019 Dec 17;8:e47427. doi: 10.7554/eLife.47427. Elife. 2019. PMID: 31843053 Free PMC article.
-
Towards a Multivariate Biomarker-Based Diagnosis of Autism Spectrum Disorder: Review and Discussion of Recent Advancements.Semin Pediatr Neurol. 2020 Jul;34:100803. doi: 10.1016/j.spen.2020.100803. Epub 2020 Mar 5. Semin Pediatr Neurol. 2020. PMID: 32446437 Free PMC article. Review.
-
Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal.BMC Med Inform Decis Mak. 2023 Dec 14;23(1):285. doi: 10.1186/s12911-023-02389-9. BMC Med Inform Decis Mak. 2023. PMID: 38098001 Free PMC article.
-
Is Smiling the Key? Machine Learning Analytics Detect Subtle Patterns in Micro-Expressions of Infants with ASD.J Clin Med. 2021 Apr 19;10(8):1776. doi: 10.3390/jcm10081776. J Clin Med. 2021. PMID: 33921756 Free PMC article.
References
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Miscellaneous
