Podcast: Culturally sensitive care with Mia Kotikovski

On this week’s podcast, Mia Kotivkoski, founder of her own 5013c and recent graduate of Stony Brook University, reviews why understanding cultural and contextual factors influence not just an autism diagnosis but general health and outcomes of a broad group of people. They include immigrants, racial and ethnic differences, and socio-economic factors. What can be done? Listen to this week’s podcast to learn more.

https://www.aacap.org/App_Themes/AACAP/Docs/resource_centers/cultural_diversity/competency_curriculum%20_cap_training/cases_supporting_materials/clinics/Bernier-psychopathology_families_and_culture-autism.pdf

https://www.sciencedirect.com/science/article/pii/S1750946718300758?via%3Dihub

https://www.researchgate.net/publication/258193289_The_Impact_of_Culture_on_Autism_Diagnosis_and_Treatment_Considerations_for_Counselors_and_Other_Professionals

https://www.maactearly.org/uploads/9/2/2/3/9223642/considering_culture_facilitatorguide_final_102116.pdf

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614360

https://www.scientificamerican.com/article/why-are-there-so-few-autism-specialists

In recognition of Father’s Day on the 16th, today’s podcast includes the latest research on fathers. Fathers may often be the “secondary caregiver” but should hardly be dismissed as inconsequential. Father’s sensitivity and insightfulness plays an important part in development, psychiatric diagnoses (including autism) change the the chance of having a child with autism, and more understanding is being done on the heritable factors associated with chemical exposures in the father.

https://www.tandfonline.com/doi/full/10.1080/14616734.2024.2326416

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11059471/pdf/main.pdf

While NDBIs are generally considered beneficial, they still face controversies – do they actually work and does that translate to an improved quality of life for the family? This week’s #ASF podcast interviews Molly Reilly and Jinwei Song of @UConn to dive into these issues, as well as the role of the caregiver in the intervention and how their influence affects the outcome. References below.

https://pubmed.ncbi.nlm.nih.gov/38719439

https://journals.sagepub.com/doi/epub/10.1177/13623613241227516

https://link.springer.com/article/10.1007/s10803-023-06198-x

Thank you to Dennis Wall from Stanford University for explaining what Machine Learning is, how it’s related to Artificial Intelligence (today’s four buzz words) and how these new technologies are helping families get a diagnosis. In this week’s podcast episode, he talks about the overall goals of these techniques, highlighting Cognoa’s CanvasDx to provide remote diagnoses to potentially reduce the waiting lists for families.

Did you miss the ASF 2024 Day of Learning and can’t wait for the videos to be posted? This is a 17 minute brief summary of what was discussed, but unfortunately, with no visuals. Don’t just listen to the podcast, watch the videos when they are posted. Also included in this podcast is a shoutout to the Profound Autism Summit which brought together hundreds of advocates around those who need 24/7 care for their lives. The link to their advocacy page is here: https://www.votervoice.net/ProfoundAutism/campaigns/112917/respond

This podcast episode provides updates on studies that help with prediction of an autism diagnosis – which is important for preparing for the future and for intervening early. First, a study that uses environmental factors to create an equation for the probability of a diagnosis following a combination of of non-genetic factors only which does a fairly good, but not perfect, job at predicting a diagnosis. Second, a study that looks at the accuracy of a machine that predicts autism from eye gaze as early as 9 months of age and with only a 2 minute test. This one wasn’t as accurate as the one that takes longer and tests older kids, but it’s a first step. No ONE thing does a perfect job at predicting a diagnosis – it’s going to be a combination of things, tested over time and multiple times that will be most helpful at predicting a diagnosis. Both studies are open access!

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10904522/pdf/fpsyt-15-1291356.pdf

https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/38429348/

Vision problems, including far- and near-sightedness, affect up to 44% of children with autism. These deficits may lead to sensory deprivation and impair skills related to autism, including attention and communication. Refractive errors are usually corrected by the use of eyeglasses or contact lenses, but most individuals with profound autism cannot tolerate wearing them and may benefit from vision-correcting, refractive surgery. In this study, pediatric ophthalmologist Dr. Margaret Reynolds will examine social reciprocity, social interaction, and adaptive behavior in children with profound autism who have had this vision-correcting surgery. The methods used to track these outcomes do not rely on the child’s speech or language ability, so those who are non- or minimally-verbal can participate. While at present only a few doctors perform this surgery in children, this relatively simple medical procedure could lead to improved quality of life and function.

Sleep problems are highly prevalent in individuals with profound autism and exacerbate emotional disturbances, cognitive deficits, and challenging behaviors. Existing studies of sleep in autism have mostly excluded children with profound autism. This omission has been blamed on the added burden, expense, and difficulty of studying sleep in children with profound autism in a lab setting. This grant will expand a sleep study currently in progress to add a cohort of children with profound autism. The goal of the study is to validate the use of a minimally invasive headband device that measures sleep quality at home and provides data on specific brainwave patterns during different phases of sleep in people with autism vs. people without autism

Genetic testing is recommended for all children with autism. However, many children receive test results that reveal mutations in genes that have not yet been associated with autism. Unfortunately, these variants of uncertain significance can cause confusion and problems for parents seeking clinical diagnoses and support. This study will utilize machine learning to integrate genetic findings with the child’s attainment of key developmental milestones, because often milestone delays are associated with rare genetic disorders. Eventually, this research could lead to a brief, low-cost clinical prediction tool that increases the diagnostic certainty of genetic testing in autism.

In the last version of the Diagnostic and Statistical Manual, the different subtypes of autism were folded into one label: autism spectrum disorder. A similar revision is being made around the International Classification of Diseases, the system the WHO uses across the world to describe autism and provide appropriate reimbursements for services and supports. In this version, the ICD-11, a combination of 300 different presentations of autism are described. A diagnosis can be made if 1 feature of social-communication and 1 feature of repetitive behaviors are documented, with an onset of any time in life. This is causing a lot of confusion in the community, because since the presentations are not specific to autism, it is difficult to provide an accurate diagnosis using the ICD-11. On this week’s podcast episode we talk to German psychiatrist Inge Kamp-Becker, MD, who outlines what the changes are, and how misdiagnosis can be made and what those consequences might be. Her summary is linked below.

https://www.nature.com/articles/s41380-023-02354-y

Those who are minimally verbal or non speaking represent about 25% of those with an autism diagnosis, yet there is really a lack of effective interventions for this group of autistic individuals. It used to be that everyone who was non-speaking was thought to have minimal ability to understand language, since understanding and speaking are so linked in development. However, group at Boston University studied the largest group of non-speaking autistic individuals so far and discovered that about 25% of them understand more language than they can speak, although this ability is still far lower than those who are neurotypical. The other 75% understand about as much as they can communicate verbally. This indicates that in some cases, the ability to understand words and their meaning exceeds the ability to communicate those ideas verbally. Surprise surprise, just like everything autism – there are differences across the spectrum. Thanks to Yanru Chen at Boston University for explaining the study to us in this week’s podcast episode.

https://onlinelibrary.wiley.com/doi/10.1002/aur.3079

On the first podcast of 2024, we describe a new paper in the Journal of the American Medical Association or JAMA which uses physiological measurements like heart rate and skin conductance to predict severe and dangerous behaviors, specifically aggression. If aggression can be predicted, it might be able to be prevented. It turns out aggression can be predicted up to 3 minutes before an episode occurs, in the future these measures can be used to possibly redirect aggression. In a separate study, the issue of stigma is addressed. There is an intense debate over “person first” vs. “identity first” language in autism, promoting recommendations of using one over the other because fear that person first language promotes stigma against autism. A new study shows that there is no added prejudice or fear using either person first or identity first language, but the stigma associated with schizophrenia is worse than it is for autism. What contributes to stigma? There is a wide range of experiences and perceptions of autism that need to be addressed. It’s not as simple as the language used.

https://pubmed.ncbi.nlm.nih.gov/38127348/

https://pubmed.ncbi.nlm.nih.gov/37965364/