This project will expand an existing longitudinal study that tracked children from infancy and recently reported that a high proportion of those who were later diagnosed with autism showed an excess volume of cerebrospinal fluid in their brains when they were 6 months old. To date, assessment of these infants stopped at a diagnosis. This student will administer additional assessments to these families to determine whether this increase in cerebrospinal fluid persists as the children age, whether it’s associated with any behavioral features including attention difficulties, executive function and ADHD, and whether it predicts differences in autism severity.
Following Up with Infants with a Unique Biomarker for ASD
Many parents of older autistic children look back and recall that their children experienced eating and feeding problems during infancy. These challenges negatively impacted their child’s quality of life resulting in issues from stomach pain to malnutrition. This study will examine feeding and eating behaviors in infants as early as 6 months old with a family history of either autism or ADHD. These infants will be followed to toddlerhood to determine if eating and feeding problems can contribute to early prediction of autism. The goals of this research are to determine if early eating difficulties are a sign of autism and if they are specific to autism, as well as how best to treat these issues early in children likely to be diagnosed with autism.
On this week’s podcast episode, special correspondent Mia Kotikovski discusses challenges in getting emergency care for those with autism, what doctors and hospitals can do to ease the stressors associated with places like the ER. This is a huge issue for families as many “simple” ER visits for their autistic family members can cause such stress it provokes severe reactions, especially in those with sensory issues, intellectual disability or those who cannot express their pain.
Instead of grouping together people with autism based on traditional severity scores, what if groupings were done based on functional outcome? Would this help better understand the broad spectrum of autism and why some people with autism are so different than others? Researchers at the University of Minnesota led by Kyle Sterrett, together with UCLA and UNC utilized a study that followed children with autism in the early 1990’s into their adulthood, in the 2020’s. They created and asked these families a set of questions (included in the manuscript below) to help identify levels of functioning in people with autism. This was done to help them and their families get the right support at right time. They found that these questions could differentiate people with Profound Autism based on things like level of independence and safety concerns. Dr. Sterrett talks with us on this week’s podcast to explain what they did and why it is so important.
In part 1 of a 3 part series on Profound Autism, ASF interviews Emily Ferguson, PhD from @Stanford shares what she learned by asking parents and caregivers of Profound Autism “what do you need?” The short answer was: “There is No Help“. The responses were overwhelmingly focused on inclusion in any program or service, since they are normally excluded from traditional programs. They also call for better multidisciplinary medical management. Needs were associated with a number of factors. Why talk to caregivers? Their perspectives help identify both research and service priorities in the future.
What is the probability of having a future child with autism if you already have one or more? Families want to know. It helps preparation, planning, will hopefully improve early screening and supports. The Baby Siblings Research Consortium analyzed a bigger group of siblings compared to their 2011 numbers and found the recurrence pretty stable – 1 in 5 siblings will have an autism diagnosis compared to 1 in 36 in the general population. However, this number depends on a lot of things: Sex of infant, sex of sibling with an existing ASD diagnosis, number of autistic children in the family, race and socioeconomic status. Listen this week to hear all the numbers.
In case you missed it, listen to Alison Singer with Gina Kavali on her podcast @LifeWiththeSpectrum. Alison talks about the importance of autism research and science in general, and how families can get involved.
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.sciencedirect.com/science/article/pii/S1750946718300758?via%3Dihub
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
As health care and outcomes for very premature infants has improved, scientists are able to track their longer term behavioral development, and that includes risk of developmental disorders like autism. On this week’s #ASFpodcast, Dr. Jessica Bradshaw discusses her recent research examining biological predictors like body temperature and heart rate and how they are linked to early autism features like social communication deficits in toddlerhood. All parents of pre-meet need to be vigilant and lean into resources like @BabyNavigator to help track their infant’s development.
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.