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Faire une suggestionEye Tracking Biomarkers for Autism Spectrum Disorder Detection using Machine Learning and Deep Learning Techniques: Review / R. ASMETHA JEYARANI in Research in Autism Spectrum Disorders, 108 (October 2023)
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Titre : Eye Tracking Biomarkers for Autism Spectrum Disorder Detection using Machine Learning and Deep Learning Techniques: Review Type de document : texte imprimé Auteurs : R. ASMETHA JEYARANI, Auteur ; Radha SENTHILKUMAR, Auteur Article en page(s) : p.102228 Mots-clés : Autism Spectrum Disorder Eye tracking Deep learning Machine learning Biomarker Index. décimale : PER Périodiques Résumé : Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both children and adults. An important aspect of social communication is keeping eye contact, which is something that people with ASD frequently struggle with. Eye tracking can assess the duration of eye contact and the frequency and direction of gaze movements, offering quantifiable indicators of social communication deficits. People with ASD may also demonstrate other abnormalities in visual processing, such as an increased concentration on detail, sensory sensitivity, and trouble with complicated visual activities. These variations can be measured via Eye tracking, which offers critical information for the planning of therapy and diagnosis. The primary objective of this work is to provide a thorough description of the most recent studies that use Eye tracking combined with various Machine Learning (ML) and Deep Learning (DL) models for the detection of ASD. This will provide insights into the identification, and behavioral assessment, and distinguish between autistic people and those who are Typically Developing (TD). A detailed review of the various ML and DL models with their datasets and performance criteria is presented. Different types of eye movement datasets with diagnostic standards and eye tracker devices are also discussed. Finally, the study addresses the potential of gaze prediction in ASD patients for the design of interventions. En ligne : https://doi.org/10.1016/j.rasd.2023.102228 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=514
in Research in Autism Spectrum Disorders > 108 (October 2023) . - p.102228[article] Eye Tracking Biomarkers for Autism Spectrum Disorder Detection using Machine Learning and Deep Learning Techniques: Review [texte imprimé] / R. ASMETHA JEYARANI, Auteur ; Radha SENTHILKUMAR, Auteur . - p.102228.
in Research in Autism Spectrum Disorders > 108 (October 2023) . - p.102228
Mots-clés : Autism Spectrum Disorder Eye tracking Deep learning Machine learning Biomarker Index. décimale : PER Périodiques Résumé : Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both children and adults. An important aspect of social communication is keeping eye contact, which is something that people with ASD frequently struggle with. Eye tracking can assess the duration of eye contact and the frequency and direction of gaze movements, offering quantifiable indicators of social communication deficits. People with ASD may also demonstrate other abnormalities in visual processing, such as an increased concentration on detail, sensory sensitivity, and trouble with complicated visual activities. These variations can be measured via Eye tracking, which offers critical information for the planning of therapy and diagnosis. The primary objective of this work is to provide a thorough description of the most recent studies that use Eye tracking combined with various Machine Learning (ML) and Deep Learning (DL) models for the detection of ASD. This will provide insights into the identification, and behavioral assessment, and distinguish between autistic people and those who are Typically Developing (TD). A detailed review of the various ML and DL models with their datasets and performance criteria is presented. Different types of eye movement datasets with diagnostic standards and eye tracker devices are also discussed. Finally, the study addresses the potential of gaze prediction in ASD patients for the design of interventions. En ligne : https://doi.org/10.1016/j.rasd.2023.102228 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=514 Eye Tracking as a Treatment Monitoring Tool for Autism: A Multilevel Meta-Analysis / Christy D. YOON in Autism Research, 18-12 (December 2025)
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Titre : Eye Tracking as a Treatment Monitoring Tool for Autism: A Multilevel Meta-Analysis Type de document : texte imprimé Auteurs : Christy D. YOON, Auteur ; Yan XIA, Auteur ; Adriana Kaori TEROL, Auteur ; Hedda MEADAN, Auteur ; Frederick SHIC, Auteur Article en page(s) : p.2548-2565 Langues : Anglais (eng) Mots-clés : autism eye tracking intervention meta-analysis treatment Index. décimale : PER Périodiques Résumé : ABSTRACT There is a growing body of evidence suggesting a concurrent association between attentional indices measured via eye tracking and autism symptoms. This meta-analysis examined the utility of eye tracking within longitudinal frameworks for autism interventions, including treatment monitoring and prediction of treatment response. We conducted a multivariate random-effects meta-analysis with a multilevel structure on 25 studies (828 autistic participants; M age?=?3?28?years) to estimate: (a) changes in eye-tracking outcomes from pre- to post-treatment (k?=?179); and (b) the correlation between baseline eye-tracking profiles and changes in developmental outcomes following treatment (k?=?39). Our analysis revealed a moderate and significant summary effect size for changes in eye-tracking outcomes from pre- to post-treatment (Hedge's g?=?0.32, p?=?0.010). Additionally, a moderate but non-significant summary effect size was revealed for the correlation between baseline eye-tracking outcomes and changes in developmental outcomes following treatment (Fisher's z?=?0.20, p?=?0.115), with moderation effects observed based on developmental domain and sex. These findings highlight the potential of eye tracking as a tool for monitoring treatment-induced changes in autistic individuals, while its predictive utility remains less supported. Limitations and implications are discussed. En ligne : https://doi.org/10.1002/aur.70141 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=578
in Autism Research > 18-12 (December 2025) . - p.2548-2565[article] Eye Tracking as a Treatment Monitoring Tool for Autism: A Multilevel Meta-Analysis [texte imprimé] / Christy D. YOON, Auteur ; Yan XIA, Auteur ; Adriana Kaori TEROL, Auteur ; Hedda MEADAN, Auteur ; Frederick SHIC, Auteur . - p.2548-2565.
Langues : Anglais (eng)
in Autism Research > 18-12 (December 2025) . - p.2548-2565
Mots-clés : autism eye tracking intervention meta-analysis treatment Index. décimale : PER Périodiques Résumé : ABSTRACT There is a growing body of evidence suggesting a concurrent association between attentional indices measured via eye tracking and autism symptoms. This meta-analysis examined the utility of eye tracking within longitudinal frameworks for autism interventions, including treatment monitoring and prediction of treatment response. We conducted a multivariate random-effects meta-analysis with a multilevel structure on 25 studies (828 autistic participants; M age?=?3?28?years) to estimate: (a) changes in eye-tracking outcomes from pre- to post-treatment (k?=?179); and (b) the correlation between baseline eye-tracking profiles and changes in developmental outcomes following treatment (k?=?39). Our analysis revealed a moderate and significant summary effect size for changes in eye-tracking outcomes from pre- to post-treatment (Hedge's g?=?0.32, p?=?0.010). Additionally, a moderate but non-significant summary effect size was revealed for the correlation between baseline eye-tracking outcomes and changes in developmental outcomes following treatment (Fisher's z?=?0.20, p?=?0.115), with moderation effects observed based on developmental domain and sex. These findings highlight the potential of eye tracking as a tool for monitoring treatment-induced changes in autistic individuals, while its predictive utility remains less supported. Limitations and implications are discussed. En ligne : https://doi.org/10.1002/aur.70141 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=578 Eye Tracking Effort Expenditure and Autonomic Arousal to Social and Circumscribed Interest Stimuli in Autism Spectrum Disorder / J.M. TRAYNOR in Journal of Autism and Developmental Disorders, 49-5 (May 2019)
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Titre : Eye Tracking Effort Expenditure and Autonomic Arousal to Social and Circumscribed Interest Stimuli in Autism Spectrum Disorder Type de document : texte imprimé Auteurs : J.M. TRAYNOR, Auteur ; A. GOUGH, Auteur ; Eric DUKU, Auteur ; David I. SHORE, Auteur ; Geoffrey B.C. HALL, Auteur Article en page(s) : p.1988-2002 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Circumscribed interests Eye tracking Pupillometry Repetitive behaviours Social communication deficits Index. décimale : PER Périodiques Résumé : The social communicative deficits and repetitive behaviours seen in Autism Spectrum Disorder (ASD) may be affected by altered stimulus salience and reward attribution. The present study used eye tracking and a behavioural measure to index effort expenditure, arousal, and attention, during viewing of images depicting social scenes and subject-specific circumscribed interests in a group of 10 adults with ASD (mean age 25.4 years) and 19 typically-developing controls (mean age 20.7 years) Split-plot and one-way repeated measures ANOVAs were used to explore results. A significant difference between the ASD and control group was found in the amount of effort expended to view social and circumscribed images. The ASD group also displayed significant differences in pupillary response to social and circumscribed images, indicative of changes in autonomic arousal. Overall, the results support the social motivation hypothesis in ASD (Chevallier et al., Trends Cogn Sci 16(4):231-239, 2012) and suggest a role for autonomic arousal in the ASD symptom dyad. En ligne : http://dx.doi.org/10.1007/s10803-018-03877-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=393
in Journal of Autism and Developmental Disorders > 49-5 (May 2019) . - p.1988-2002[article] Eye Tracking Effort Expenditure and Autonomic Arousal to Social and Circumscribed Interest Stimuli in Autism Spectrum Disorder [texte imprimé] / J.M. TRAYNOR, Auteur ; A. GOUGH, Auteur ; Eric DUKU, Auteur ; David I. SHORE, Auteur ; Geoffrey B.C. HALL, Auteur . - p.1988-2002.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 49-5 (May 2019) . - p.1988-2002
Mots-clés : Autism spectrum disorder Circumscribed interests Eye tracking Pupillometry Repetitive behaviours Social communication deficits Index. décimale : PER Périodiques Résumé : The social communicative deficits and repetitive behaviours seen in Autism Spectrum Disorder (ASD) may be affected by altered stimulus salience and reward attribution. The present study used eye tracking and a behavioural measure to index effort expenditure, arousal, and attention, during viewing of images depicting social scenes and subject-specific circumscribed interests in a group of 10 adults with ASD (mean age 25.4 years) and 19 typically-developing controls (mean age 20.7 years) Split-plot and one-way repeated measures ANOVAs were used to explore results. A significant difference between the ASD and control group was found in the amount of effort expended to view social and circumscribed images. The ASD group also displayed significant differences in pupillary response to social and circumscribed images, indicative of changes in autonomic arousal. Overall, the results support the social motivation hypothesis in ASD (Chevallier et al., Trends Cogn Sci 16(4):231-239, 2012) and suggest a role for autonomic arousal in the ASD symptom dyad. En ligne : http://dx.doi.org/10.1007/s10803-018-03877-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=393 Applying Eye Tracking to Identify Autism Spectrum Disorder in Children / Guo-Bin WAN in Journal of Autism and Developmental Disorders, 49-1 (January 2019)
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Titre : Applying Eye Tracking to Identify Autism Spectrum Disorder in Children Type de document : texte imprimé Auteurs : Guo-Bin WAN, Auteur ; Xuejun KONG, Auteur ; Binbin SUN, Auteur ; Siyi YU, Auteur ; Yiheng TU, Auteur ; Jungwee PARK, Auteur ; Courtney LANG, Auteur ; Madelyn KOH, Auteur ; Zhen WEI, Auteur ; Zhe FENG, Auteur ; Yan LIN, Auteur ; Jian KONG, Auteur Article en page(s) : p.209-215 Langues : Anglais (eng) Mots-clés : Autism Eye tracking Face Fixation time Machine learning Index. décimale : PER Périodiques Résumé : Eye tracking (ET) holds potential for the early detection of autism spectrum disorder (ASD). To overcome the difficulties of working with young children, developing a short and informative paradigm is crucial for ET. We investigated the fixation times of 37 ASD and 37 typically developing (TD) children ages 4-6 watching a 10-second video of a female speaking. ASD children showed significant reductions in fixation time at six areas of interest. Furthermore, discriminant analysis revealed fixation times at the mouth and body could significantly discriminate ASD from TD with a classification accuracy of 85.1%, sensitivity of 86.5%, and specificity of 83.8%. Our study suggests that a short video clip may provide enough information to distinguish ASD from TD children. En ligne : http://dx.doi.org/10.1007/s10803-018-3690-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=377
in Journal of Autism and Developmental Disorders > 49-1 (January 2019) . - p.209-215[article] Applying Eye Tracking to Identify Autism Spectrum Disorder in Children [texte imprimé] / Guo-Bin WAN, Auteur ; Xuejun KONG, Auteur ; Binbin SUN, Auteur ; Siyi YU, Auteur ; Yiheng TU, Auteur ; Jungwee PARK, Auteur ; Courtney LANG, Auteur ; Madelyn KOH, Auteur ; Zhen WEI, Auteur ; Zhe FENG, Auteur ; Yan LIN, Auteur ; Jian KONG, Auteur . - p.209-215.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 49-1 (January 2019) . - p.209-215
Mots-clés : Autism Eye tracking Face Fixation time Machine learning Index. décimale : PER Périodiques Résumé : Eye tracking (ET) holds potential for the early detection of autism spectrum disorder (ASD). To overcome the difficulties of working with young children, developing a short and informative paradigm is crucial for ET. We investigated the fixation times of 37 ASD and 37 typically developing (TD) children ages 4-6 watching a 10-second video of a female speaking. ASD children showed significant reductions in fixation time at six areas of interest. Furthermore, discriminant analysis revealed fixation times at the mouth and body could significantly discriminate ASD from TD with a classification accuracy of 85.1%, sensitivity of 86.5%, and specificity of 83.8%. Our study suggests that a short video clip may provide enough information to distinguish ASD from TD children. En ligne : http://dx.doi.org/10.1007/s10803-018-3690-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=377 Association between joint attention and autism traits in young adults: A gaze-contingent eye-tracking study / Hedda MEADAN ; Yan XIA ; Frederick SHIC in Research in Autism, 125 (July 2025)
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Titre : Association between joint attention and autism traits in young adults: A gaze-contingent eye-tracking study Type de document : texte imprimé Auteurs : Hedda MEADAN, Auteur ; Yan XIA, Auteur ; Frederick SHIC, Auteur Article en page(s) : p.202622 Langues : Anglais (eng) Mots-clés : Adulthood Autism Eye tracking Gaze contingency Joint attention Index. décimale : PER Périodiques Résumé : Background The Interactive Eye Tracking for Joint Attention (IET-JA), a child-focused battery consisting of video-format gaze-contingent eye-tracking tasks featuring a human communication partner, was developed to address gaps in eye-tracking research on JA in autistic children. Although JA research has often concentrated on younger populations due to its early developmental significance, studies indicate that JA difficulties associated with autism persist into adulthood, highlighting the value of examining these traits later in life. Thus, this study adapted the IET-JA for adolescents and adults (IET-JA-A) by incorporating additional attentional demands to introduce controlled attentional variations and explore whether these interactive eye-tracking measures of JA associate with autism traits in adulthood. Methods A total of 81 young adults (Mage = 19.32 years, range = 18-24 years), with a broad range of autism traits, completed the IET-JA-A. Generalized and linear mixed modeling were employed to address the aim. Results The IET-JA-A measures of responding to joint attention and initiating joint attention to comment/reference (protodeclarative) were associated with autism traits, while the IET-JA-A measures of initiating joint attention to request (protoimperative) were not associated with autism traits. Conclusions Findings advance our understanding of JA linked with autism traits in adulthood and showcase the feasibility of interactive eye-tracking methodologies in JA research. Limitations and implications for research are discussed. En ligne : https://doi.org/10.1016/j.reia.2025.202622 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=559
in Research in Autism > 125 (July 2025) . - p.202622[article] Association between joint attention and autism traits in young adults: A gaze-contingent eye-tracking study [texte imprimé] / Hedda MEADAN, Auteur ; Yan XIA, Auteur ; Frederick SHIC, Auteur . - p.202622.
Langues : Anglais (eng)
in Research in Autism > 125 (July 2025) . - p.202622
Mots-clés : Adulthood Autism Eye tracking Gaze contingency Joint attention Index. décimale : PER Périodiques Résumé : Background The Interactive Eye Tracking for Joint Attention (IET-JA), a child-focused battery consisting of video-format gaze-contingent eye-tracking tasks featuring a human communication partner, was developed to address gaps in eye-tracking research on JA in autistic children. Although JA research has often concentrated on younger populations due to its early developmental significance, studies indicate that JA difficulties associated with autism persist into adulthood, highlighting the value of examining these traits later in life. Thus, this study adapted the IET-JA for adolescents and adults (IET-JA-A) by incorporating additional attentional demands to introduce controlled attentional variations and explore whether these interactive eye-tracking measures of JA associate with autism traits in adulthood. Methods A total of 81 young adults (Mage = 19.32 years, range = 18-24 years), with a broad range of autism traits, completed the IET-JA-A. Generalized and linear mixed modeling were employed to address the aim. Results The IET-JA-A measures of responding to joint attention and initiating joint attention to comment/reference (protodeclarative) were associated with autism traits, while the IET-JA-A measures of initiating joint attention to request (protoimperative) were not associated with autism traits. Conclusions Findings advance our understanding of JA linked with autism traits in adulthood and showcase the feasibility of interactive eye-tracking methodologies in JA research. Limitations and implications for research are discussed. En ligne : https://doi.org/10.1016/j.reia.2025.202622 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=559 Comparing Automatic Eye Tracking and Manual Gaze Coding Methods in Young Children with Autism Spectrum Disorder / Courtney E. VENKER in Autism Research, 13-2 (February 2020)
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PermalinkA constellation of eye-tracking measures reveals social attention differences in ASD and the broad autism phenotype / Kritika NAYAR in Molecular Autism, 13 (2022)
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PermalinkDo children with ASD use referential gaze to learn the name of an object? An eye-tracking study / Hironori AKECHI in Research in Autism Spectrum Disorders, 5-3 (July-September 2011)
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PermalinkDynamic Eye Tracking as a Predictor and Outcome Measure of Social Skills Intervention in Adolescents and Adults with Autism Spectrum Disorder / Rachel K. GREENE in Journal of Autism and Developmental Disorders, 51-4 (April 2021)
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PermalinkExamining How Types of Object Distractors Distinctly Compete for Facial Attention in Autism Spectrum Disorder Using Eye Tracking / Ashley J. HARRISON in Journal of Autism and Developmental Disorders, 50-3 (March 2020)
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