Objective Measurement of Social Gaze and Smile Behaviors in Children with Suspected Autism Spectrum Disorder During Administration of the Autism Diagnostic Observation Schedule, 2nd Edition

Best practice for the assessment of autism spectrum disorder (ASD) symptom severity relies on clinician ratings of the Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2), but the association of these ratings with objective measures of children’s social gaze and smiling is unknown. Sixty-six preschool-age children (49 boys, M = 39.97 months, SD = 10.58) with suspected ASD (61 confirmed ASD) were administered the ADOS-2 and provided social affect calibrated severity scores (SA CSS). Children’s social gaze and smiling during the ADOS-2, captured with a camera contained in eyeglasses worn by the examiner and parent, were obtained via a computer vision processing pipeline. Children who gazed more at their parents (p = .04) and whose gaze at their parents involved more smiling (p = .02) received lower social affect severity scores, indicating fewer social affect symptoms, adjusted R2 = .15, p = .003.

Keywords: Autism diagnostic observation schedule; Autism spectrum disorder; Objective measurement; Smiling; Social gaze.

Two recent papers suggest that a childhood diagnosis of ASD is important for adulthood quality of life and well being. But another one points out that it isn’t the only thing, or even the primary factor, involved in improved quality of life and well-being as autistic adults age. There are others, like comorbid mental health problems, demographic factors like gender and current age. These studies were conducted by autistic researchers and did an amazing thing – one tried to replicate the other. The media got the point of these findings wrong (shocker) so today’s #ASFpodcast explains what they mean.

https://journals.sagepub.com/doi/pdf/10.1177/13623613231173056

https://journals.sagepub.com/doi/pdf/10.1177/13623613221086700?casa_token=Pt_EcbUzuDQAAAAA:_qVIXsQGRxWgoSOp4-kpLdohAr6CiB5lFYbhx8kK5omusM4rfHTjeyuzSLbxPh1OFftAc4j8BkuzCA

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296439/

The disparity in diagnosis between Black kids and white kids is narrowing, but not by luck or coincidence. Based on previous research, clinicians are altering their professional training and their outreach to make sure more Black families are diagnosed and receive interventions. On today’s podcast, we highlight a recent study that focused on different ways to lower the age of diagnosis and improve access to early intervention in Black families. This intervention improved cognitive outcomes in Black kids.

https://pubmed.ncbi.nlm.nih.gov/36443922/

https://pubmed.ncbi.nlm.nih.gov/37196781/

Last week in Stockholm, Sweden, 2200 researchers and scientists working to understand and help those on the spectrum, met to share their most recent findings and exchange ideas. What were the main takeaways as ASF saw them? In our latest podcast episode, we cover why some autistic people don’t want genetics to be studied, how to better engage families with IDD and who are non-speaking, females, adults, international studies and yes, diversity. The program book was released a day before the meeting and can be found here: https://cdn.ymaws.com/www.autism-insar.org/resource/resmgr/docs/annualmeeting/insar2023_program_book.pdf

Literature examining emotional regulation in infants with autism spectrum disorder (ASD) has focused on parent report. We examined behavioral and physiological responses during an emotion-evoking task designed to elicit emotional states in infants. Infants at an increased likelihood for ASD (IL; have an older sibling with ASD; 96 not classified; 29 classified with ASD at age two) and low likelihood (LL; no family history of ASD; n = 61) completed the task at 6, 12, and 18 months. The main findings were (1) the IL-ASD group displayed higher levels of negative affect during toy removal and negative tasks compared to the IL non-ASD and LL groups, respectively, (2) the IL-ASD group spent more time looking at the baseline task compared to the other two groups, and (3) the IL-ASD group showed a greater increase in heart rate from baseline during the toy removal and negative tasks compared to the LL group. These results suggest that IL children who are classified as ASD at 24 months show differences in affect, gaze, and heart rate during an emotion-evoking task, with potential implications for understanding mechanisms related to emerging ASD.

Keywords: ASD; affect; autism; baby sibling; gaze; heart rate; physiology.

On this week’s podcast, we conduct an interview with Michelle Hughes, PhD, epidemiologist with the CDC, who answers all of our questions about how many people have autism, how they are counted, what has changed since the last count and why the CDC are counting more kids than they were 10 years ago.

You can read more about her here: https://www.linkedin.com/in/michellemergler/

Here is a link to the 8 year old counting study: https://pubmed.ncbi.nlm.nih.gov/36952288/

Here is the follow up to when they turned 16: https://pubmed.ncbi.nlm.nih.gov/36849336/

What do anxiety, prevalence, ketamine, other neurodevelopmental disorders, siblings, genetics, brain imaging and the autistic researcher committee at INSAR all have in common? They were all topics at the last Day of Learning. You can hear a 20 minute summary of the talks on this week’s ASFpodcast.

The CDC released data from the Autism and Developmental Disabilities Monitoring Network (ADDM) on Thursday. In the past 2 years, the prevalence of autism has increased about 20%. Why? Are there more new cases or is diagnostic practices improving? For 20 years there has been fewer Black and Hispanic kids diagnosed. Is that still the case? Listen to this week’s #ASFpodcast to hear some early thoughts, the CDC will join us for an interview on April 20th:

https://www.cdc.gov/mmwr/volumes/72/ss/ss7202a1.htm

https://www.cdc.gov/ncbddd/autism/data.html

TikTok is overtaking the internet and many are using this platform to learn about a variety of psychiatric illnesses and psychological problems. But how accurate are these videos in sharing medical information? Could they be causing things like tics? Do they influence individuals to self-diagnose and cause mis-diagnosis? There is a new phenomenon labeled “munchausen by internet”, and while some of the videos might be helpful in raising awareness, others are just spreading lies and causing psychiatric problems. In other words: be careful about TikTok. If a social media platform shares videos that tell you to eat laundry detergent, maybe you should not listen to everything they say. Listen to this week’s podcast here.

https://journals.sagepub.com/doi/full/10.1177/07067437221082854

https://pubmed.ncbi.nlm.nih.gov/35473358/

Screening for autism is meant to cast a broad net to gather those who show enough features to be included for a full diagnostic evaluation. The most common of these tools is the MCHAT – the Modified Checklist for Autism in Toddlers. An author of the MCHAT, Diana Robins, and a colleague, Andrea Wieckowski and others gathered over 50 studies (English and other languages) in different types of samples (high likelihood and low likelihood) to determine how the MCHAT was doing in terms of finding infants with autism as well as excluding those without autism. It also touched on how well primary care doctors were doing in administering this tool. If you want to see the MCHAT for yourself or take it for your child, there is a FREE website, click here: https://mchatscreen.com Listen to the podcast here.

To read the paper, click here: https://pubmed.ncbi.nlm.nih.gov/36804771/