scholarly journals Developmental changes in face visual scanning in autism spectrum disorder as assessed by data-based analysis

2015 ◽  
Vol 6 ◽  
Author(s):  
Anouck Amestoy ◽  
Etienne Guillaud ◽  
Manuel P. Bouvard ◽  
Jean-René Cazalets
Keyword(s):  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Developmental Changes ◽  
Visual Scanning

scholarly journals Identification of social engagement indicators associated with autism spectrum disorder using a game-based mobile application

2021 ◽  
Author(s):  
Maya Varma ◽  
Peter Washington ◽  
Brianna Chrisman ◽  
Aaron Kline ◽  
Emilie Leblanc ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Mobile Health ◽  
Social Engagement ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Computational Techniques ◽  
Visual Scanning ◽  
Gaze Fixation ◽  
Healthcare Needs ◽  
Children With Asd

Autism spectrum disorder (ASD) is a widespread neurodevelopmental condition with a range of potential causes and symptoms. Children with ASD exhibit behavioral and social impairments, giving rise to the possibility of utilizing computational techniques to evaluate a child's social phenotype from home videos. Here, we use a mobile health application to collect over 11 hours of video footage depicting 95 children engaged in gameplay in a natural home environment. We utilize automated dataset annotations to analyze two social indicators that have previously been shown to differ between children with ASD and their neurotypical (NT) peers: (1) gaze fixation patterns and (2) visual scanning methods. We compare the gaze fixation and visual scanning methods utilized by children during a 90-second gameplay video in order to identify statistically-significant differences between the two cohorts; we then train an LSTM neural network in order to determine if gaze indicators could be predictive of ASD. Our work identifies one statistically significant region of fixation and one significant gaze transition pattern that differ between our two cohorts during gameplay. In addition, our deep learning model demonstrates mild predictive power in identifying ASD based on coarse annotations of gaze fixations. Ultimately, our results demonstrate the utility of game-based mobile health platforms in quantifying visual patterns and providing insights into ASD. We also show the importance of automated labeling techniques in generating large-scale datasets while simultaneously preserving the privacy of participants. Our approaches can generalize to other healthcare needs.

Can pupil size and pupil responses during visual scanning contribute to the diagnosis of autism spectrum disorder in children?

2011 ◽  
Vol 45 (8) ◽  
pp. 1077-1082 ◽  
Author(s):  
Joëlle Martineau ◽  
Nadia Hernandez ◽  
Lorraine Hiebel ◽  
Laetitia Roché ◽  
Aude Metzger ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Pupil Size ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Visual Scanning

scholarly journals Developmental Changes in Pretend Play from 22- to 34-Months in Younger Siblings of Children with Autism Spectrum Disorder

2017 ◽  
Vol 46 (3) ◽  
pp. 639-654 ◽  
Author(s):  
Susan B. Campbell ◽  
Amanda S. Mahoney ◽  
Jessie Northrup ◽  
Elizabeth L. Moore ◽  
Nina B. Leezenbaum ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Pretend Play ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Developmental Changes

scholarly journals Motor Imagery of Typical and High-Functioning Autism Spectrum Disorder Children: Developmental Changes

2020 ◽  
Author(s):  
Saeid Ahar ◽  
Farhad Ghadiri ◽  
Abbas Bahram ◽  
Mehran Karimi
Keyword(s):  
Autism Spectrum Disorder ◽  
Reaction Time ◽  
Motor Imagery ◽  
High Functioning Autism ◽  
Statistical Tests ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Developmental Changes ◽  
Typical Development ◽  
High Functioning

Introduction: There are significant interactions between motor and cognitive development through life span. Investigation of cognitive processes and behavioral infrastructure is very valuable, so the present study aimed to determine the developmental changes of motor imagery in typical and high functioning autism spectrum disorder children aged 8 to 12 years. Methods: The present study was a semi- quasi one that done in a cross - sectional design. 40 children aged 8 to 10 and 40 children aged 10 to 12 years (in each age group 20 autism spectrum disorder (ASD) and 20 typical development (TD)), who matched in terms of age and IQ, were selected purposefully and accessibly selected and participated in the research voluntarily. To investigate the motor imagery, the hand rotation paradigm was used in the form of 3-D software. After calculating the reaction time and the number of errors related to the medial and lateral stimuli, repeated measures ANOVA used to analyze the reaction time data and the Mann Whitney U test used to analyze the error numbers data. All statistical tests were performed using SPSS software version 21. Results: The findings showed that the typical development (TD) group decreased its reaction time (P=0.001) and number of errors (P=0.001) by age increasing, which was not seen in the autism spectrum disorder (ASD) group. Conclusion: It seems that the cognitive and important processes involved in learning and controlling motor skills will not improve by age and will require specialized interventions and coherent programs for this purpose.

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