The latest autism research news stories with ASF Chief Science Officer Alycia Halladay
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Everyone knows cognitive ability is critical for understanding autism, however, how does it affect developmental trajectories of autism traits, and can it be accurately measured in those with severe intellectual disabilities? We discuss. Plus, more evidence that tylenol doees not cause autism.
https://pubmed.ncbi.nlm.nih.gov/41207796
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The NIH has launched the new Autism Data Science Initiative: https://dpcpsi.nih.gov/autism-data-science-initiative/funding-opportunities#section1, which brings questions about why linking different data sets is important. It can be done without including personal identifying information, and it should be done following ethical guidelines. If done correctly, using large datasets can answer questions relating to treatment, cause, better identification and personalized medicine for those on the spectrum. So what has linking data done for families? This week’s podcast summarizes longitudinal research that follows individuals across time, linking their information across different ages to look at factors that predict outcomes, environmental factors, and how to best support those on the spectrum.
https://pubmed.ncbi.nlm.nih.gov/40420626
https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-025-02739-4
https://pubmed.ncbi.nlm.nih.gov/40391067
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Catatonia is a syndrome which includes immobility, stupor, and sometimes regression in psychiatric wellness or even ability to feed or take care of ones self. This syndrome is seen in autism about 10% of the time but is is often overlooked or misdiagnosed. This may be because the symptoms are relatively rare or because catatonia is harder to detect in those with autism. This week, special guests Drs. Joshua Smith and Dr. Zachary Williams from Vanderbilt University discuss what happens when researchers following people who are suffering from catatonia and autism across time. What treatments work? How?
ASF has partnered with NCSA, Autism Speaks, Vanderbilt University, the Catatonia Foundation and other groups to bring you a 6 part series on catatonia given by experts and family members. It is aimed at increasing the visibility and research priority of catatonia. It is NOT this podcast – you have to register via zoom seperately here:
https://us06web.zoom.us/meeting/register/RV6rkPh_SAW8Hw3wmQdCrg
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Contextual factors, or external factors, are environmental influences and can impact not just a diagnosis but the life course of a person with autism and their families. A recent commentary by autism researchers around the world highlights the importance of these factors and provides resources on how they can be collected in a rigorous, but accessible, way. Dr. Marsha Mailick, lead author of the commentary, discusses the definition of contextual factors, why they are important, and how they can influence development. Read the commentary – open access – here: https://onlinelibrary.wiley.com/doi/10.1002/aur.3312
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On this week’s podcast, Dr. Elaine Clarke from @RutgersU discusses the role of adaptive behavior. This refers to the wide range of skills that a person with autism can exhibit. Can they hold a conversation? Dress themselves? Prepare a meal? These sets of skills are strongly influenced by cognitive ability. Dr. Clarke will talk about the link between cognitive ability and adaptive behaviors and while there may be differences in the abilities across the spectrum, it means clinicians and families need to aim for what works best for their individual child. Read more below:
https://pubmed.ncbi.nlm.nih.gov/38317766
https://pubmed.ncbi.nlm.nih.gov/39679971
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A few years after the start of the pandemic, and a couple of years into “recovery”, scientists are still disentangeling the effects of COVID-19 lockdowns and exposure. For example, is there an uptick in autism screen positives when pregnant mothers fell ill? Were there diagnostic disparities based on co-morbid conditions? Did autistic people feel better over time during the pandemic? This week’s #ASFpodcast explores these questions using new longitudinal data sets designed to better understand the long term impacts of the pandemic.
https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/39312236
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Compared to other types of research, there are so few studies that look at three time points in the same person with autism over their live to better understand groups and predict outcomes. What is missing? What do families need? What’s there and what could be done differently to get at the answers that will help families? This week we talk to @StevenGentles from McMaster University who led a review of this research and what it will add to the science. You can read the article open access here: https://journals.sagepub.com/doi/full/10.1177/13623613231170280?rfr_dat=cr_pub++0pubmed&url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org
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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? 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
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Stressful life events, among other things, affect autistics more than those who are typically developing. Why? What would cause this vulnerability? New studies suggest that cognitive inflexibility may be the key. Autistic people tend to have problems with cognitive flexibility. As a whole, they show problems with flexible thinking, changing direction and being adaptable to new situations. This is clearly tied to insistence on sameness, a core feature of ASD. Can anything help? Research needs to look at the link between improving cognitive flexibility and mental health, but in the meantime, there are things that can be done to improve skills in this area. Check out a few below.
https://pubmed.ncbi.nlm.nih.gov/36196666/
https://pubmed.ncbi.nlm.nih.gov/36113122/
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This week’s podcast highlights a paper from the IBIS (infant brain imaging study) that tracks infants from 6 months to 5 years of age to examine how ASD symptoms cluster together. These infants either have a diagnosis or they don’t, or they have something which doesn’t meet diagnostic threshold but is still impairing in some way. Ignoring the actual diagnosis, if the data is clustered together around how symptoms present, what happens? What does that mean for some of the longest standing research findings in ASD? For example, using this new approach which ignores and actual diagnosis, are more males are diagnosed than females? As it turns out, it equals out these ratios. What does this mean? Listen to this week’s podcast to hear directly from the first author, Catherine Burrows!