scholarly journals Social engagement with parents in 11-month-old siblings at high and low genetic risk for autism spectrum disorder

Autism ◽  
2014 ◽  
Vol 19 (8) ◽  
pp. 915-924 ◽  
Author(s):  
Susan B Campbell ◽  
Nina B Leezenbaum ◽  
Amanda S Mahoney ◽  
Taylor N Day ◽  
Emily N Schmidt
2016 ◽  
Vol 46 (7) ◽  
pp. 2305-2316 ◽  
Author(s):  
Susan B. Campbell ◽  
Nina B. Leezenbaum ◽  
Amanda S. Mahoney ◽  
Elizabeth L. Moore ◽  
Celia A. Brownell

2021 ◽  
Author(s):  
Maya Varma ◽  
Peter Washington ◽  
Brianna Chrisman ◽  
Aaron Kline ◽  
Emilie Leblanc ◽  
...  

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.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 164-164
Author(s):  
Acadia Buro ◽  
Heewon Gray

Abstract Objectives This study aimed to better understand perceptions of healthy eating and a prospective nutrition intervention in adolescents with autism spectrum disorder (ASD) and parents of adolescents with ASD. Methods Four focus groups (n = 11) were conducted with adolescents with ASD aged 10–17, and nine interviews were conducted with parents of adolescents with ASD aged 10–17. Questions were semi-structured. Thematic and comparative analyses were conducted with ATLAS.ti 8 software. Results Several themes emerged. Adolescents and parents expressed a need for “nutrition guidelines and education” and discussed the importance of having “social engagement,” “visual components,” and “teen-led initiatives” in a nutrition intervention. When defining a healthy diet, both parents and adolescents mentioned the concept of a “balanced diet,” while parents also mentioned “clean foods.” Conclusions Adolescents with ASD represent an appropriate target audience for a healthy eating intervention, and an intervention should include visual and social components and teen-led initiatives. Funding Sources There was no funding source.


2019 ◽  
Vol 51 (3) ◽  
pp. 431-444 ◽  
Author(s):  
Jakob Grove ◽  
◽  
Stephan Ripke ◽  
Thomas D. Als ◽  
Manuel Mattheisen ◽  
...  

2019 ◽  
Vol 83 (3) ◽  
pp. 301-325 ◽  
Author(s):  
Bianca M. Marro ◽  
Erin Kang ◽  
Kathryn M. Hauschild ◽  
Karys M. Normansell ◽  
Tamara M. Abu-Ramadan ◽  
...  

Youth with autism spectrum disorder (ASD) experience deficits in social knowledge. It has long been theorized that these youth must learn these skills explicitly, and social skills interventions (SSIs) have followed suit. Recently, performance-based SSIs have emerged, which promote in vivo opportunities for social engagement without explicit instruction. Effects of performance-based SSIs on social knowledge have not been examined. This study employs two discrete samples (one lab-based, one community-based) of youth with ASD to examine the effects of performance-based interventions on social knowledge. Results largely support the efficacy and effectiveness of improving social knowledge by performance-based interventions without explicit teaching. This indicates that youth with ASD may be able to learn these aspects of social cognition implicitly, rather than exclusively explicitly. The results of the current study also suggest that SSI content, dosage, and intensity may relate to these outcomes, which are important considerations in clinical practice and future studies.


2018 ◽  
Vol 133 ◽  
pp. 368-376 ◽  
Author(s):  
Jaishankar Bharatharaj ◽  
Loulin Huang ◽  
Christian Krägeloh ◽  
Mohan Rajesh Elara ◽  
Ahmed Al-Jumaily

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