Author Interviews, Autism, JAMA, Pediatrics, UCSD / 08.02.2023
Toddlers Who Lack Attention to Mother’s Speech More Likely to Be Diagnosed with Autism
MedicalResearch.com Interview with:
[caption id="attachment_59999" align="alignleft" width="150"]
Dr. Pierce[/caption]
Karen Pierce, Ph.D.
Professor, Department of Neurosciences, UCSD
Co-Director, Autism Center of Excellence, UCSD
MedicalResearch.com: What is the background for this study?
Response: The mean age of ASD diagnosis and eventual treatment remains at ~52 months in the United States1 - years beyond the disorder’s prenatal origins2, and beyond the age when it can be reliably diagnosed in many cases3.
Currently the only way to determine if a child has autism spectrum disorder (ASD) is to receive a developmental evaluation from an experienced clinician (usually a licensed clinical psychologist). There are often long waiting lists, and only a small number of clinicians have the experience required to make early-age (i.e., between 12-36 months) diagnoses of ASD. Thus, there are many places in the country as well as world wide wherein children wait months or years to receive a formal diagnosis due to a lack of available expertise. Moreover, diagnostic evaluations are expensive and usually cost the parent and/or insurance approximately ~$2,000 or more per evaluation. Finally, clinical evaluations usually take between 2-3 hours to complete and result in fatigue for both the parent and toddler.
Eye-tracking, which generates biologically-relevant, objective, and quantifiable metrics of both visual and auditory preference profiles in babies and toddlers in just minutes, is a technology that can dramatically change how ASD is diagnosed.
Dr. Pierce[/caption]
Karen Pierce, Ph.D.
Professor, Department of Neurosciences, UCSD
Co-Director, Autism Center of Excellence, UCSD
MedicalResearch.com: What is the background for this study?
Response: The mean age of ASD diagnosis and eventual treatment remains at ~52 months in the United States1 - years beyond the disorder’s prenatal origins2, and beyond the age when it can be reliably diagnosed in many cases3.
Currently the only way to determine if a child has autism spectrum disorder (ASD) is to receive a developmental evaluation from an experienced clinician (usually a licensed clinical psychologist). There are often long waiting lists, and only a small number of clinicians have the experience required to make early-age (i.e., between 12-36 months) diagnoses of ASD. Thus, there are many places in the country as well as world wide wherein children wait months or years to receive a formal diagnosis due to a lack of available expertise. Moreover, diagnostic evaluations are expensive and usually cost the parent and/or insurance approximately ~$2,000 or more per evaluation. Finally, clinical evaluations usually take between 2-3 hours to complete and result in fatigue for both the parent and toddler.
Eye-tracking, which generates biologically-relevant, objective, and quantifiable metrics of both visual and auditory preference profiles in babies and toddlers in just minutes, is a technology that can dramatically change how ASD is diagnosed.
Dr. Saha[/caption]
Abhishek Saha, PhD
Assistant Professor
Department of Mechanical and Aerospace Engineering
University of California San Diego
MedicalResearch.com: What is the background for this study?
Response: At a very early stage of COVID 19 pandemic, the scientific community identified that respiratory droplet is the primary mode of transmission of the SARS-CoV2 virus. Naturally, the health agencies have encouraged facemasks to restrict these droplets from spreading during respiratory events, like coughing, sneezing, talking, etc. While WHO recommended using either N95 masks or other types of three-layer masks, due to a sharp increase in demand and scarcity in supplies, a variety of either home-made or locally purchased masks became popular. Naturally, one wonders if these single- and double-layer masks provide enough protection. To provide some insight into this critical question, our team, which also includes Professor Swetaprovo Chaudhuri from the University of Toronto, and Professor Saptarshi Basu of the Indian Institute of Science, experimentally analyzed what happens to the respiratory droplets when they impact single- and multi-layer masks. 
