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.
Podcast: Juneteenth, 2023
The title gets you, right? Well, on this week’s podcast we report on a new study that examines epigenetic profiles of sperm and how they related to child outcomes. Do some of the marks on bio-dad’s sperm match to those found in kids with ASD? what about genes related to autism? Also, can parents be good proxies of their child’s intellectual ability? For the most part yes, but sometimes they tend to overestimate this ability. This means they are good, but not perfect reporters. How could they be if the child has a severe intellectual disability?
Eye tracking has long been used to characterize differences in social attention between autistic and non-autistic children, but recent work has shown that these patterns may vary widely according to the biological sex of the participants and the social complexity and gender-typicality of the eye tracking stimuli (e.g., barbies vs. transformers). To better understand effects of sex, social complexity, and object gender-typicality on social and non-social gaze behavior in autism, we compared the visual attention patterns of 67 autistic (ASD) and non-autistic (NA) males (M) and females (F) (ASD M = 21; ASD F = 18; NA M = 14; NA F = 14) across four eye tracking paradigms varying in social complexity and object gender-typicality. We found consistency across paradigms in terms of overall attention and attention to social stimuli, but attention to objects varied when paradigms considered gender in their stimulus design. Children attended more to gendered objects, particularly when the gender-typicality of the object matched their assigned sex. These results demonstrate that visual social attention in autism is affected by interactions between a child’s biological sex, social scene complexity, and object gender-typicality and have broad implications for the design and interpretation of eye tracking studies.
Keywords: attention; eye movement; gender/female ASD; sex differences.
Background: Fragile X syndrome (FXS) is the most prevalent form of inherited intellectual disability and is commonly associated with autism. Previous studies have linked the structural and functional alterations in FXS with impaired sensory processing and sensory hypersensitivity, which may hinder the early development of cognitive functions such as language comprehension. In this study, we compared the P1 response of the auditory evoked potential and its habituation to repeated auditory stimuli in male children (2-7 years old) with and without FXS, and examined their association with clinical measures in these two groups.
Methods: We collected high-density electroencephalography (EEG) data in an auditory oddball paradigm from 12 male children with FXS and 11 age- and sex-matched typically developing (TD) children. After standardized EEG pre-processing, we conducted a spatial principal component (PC) analysis and identified two major PCs-a frontal PC and a temporal PC. Within each PC, we compared the P1 amplitude and inter-trial phase coherence (ITPC) between the two groups, and performed a series of linear regression analysis to study the association between these EEG measures and several clinical measures, including assessment scores for language abilities, non-verbal skills, and sensory hypersensitivity.
Results: At the temporal PC, both early and late standard stimuli evoked a larger P1 response in FXS compared to TD participants. For temporal ITPC, the TD group showed greater habituation than the FXS group. However, neither group showed significant habituation of the frontal or temporal P1 response. Despite lack of habituation, exploratory analysis of brain-behavior associations observed that within the FXS group, reduced frontal P1 response to late standard stimuli, and increased frontal P1 habituation were both associated with better language scores.
Conclusion: We identified P1 amplitude and ITPC in the temporal region as a contrasting EEG phenotype between the FXS and the TD groups. However, only frontal P1 response and habituation were associated with language measures. Larger longitudinal studies are required to determine whether these EEG measures could be used as biomarkers for language development in patients with FXS.
Keywords: EEG; ERP; Fragile X syndrome; autism; language; neural habituation; phase coherence.
Quick answer: 26.7%. But what is “profound autism” and why is this label necessary? Have the rates of profound autism changed over time? How many do not have profound autism and are their needs different and how? Listen to this week’s ASF podcast and read the paper here: https://autismsciencefoundation.org/wp-content/uploads/2023/04/CDC-Profound-Autism-Statistics_ASF-Copy.pdf
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:
The media has just called another biological marker a “diagnostic test”, when in this case, it was always intended to be an aid, not a test itself. It involves using baby hair strands to look a variation in metabolism of certain chemical elements across time. Remarkably, it showed similar results in autistic children in Japan, the US and Sweden. It’s not ready to be used as a diagnostic test, so what is it supposed to do? Listen to an interview with the inventor and researcher, Dr. Manish Arora from The Icahn School of Medicine at Mt. Sinai School here.
The full article (open access) can be found here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740182/
Many of the existing tools to identify autism cost money or are not specific for ASD, and they are hidden behind paywalls and are hard to obtain. A group of scientists led by Tom Frazer at John Caroll University put together a 39 questionnaire called the Autism Symptoms Dimensions Questionnaire to be filled out by parents of children. It’s free and open source! But that’s just the first step. The media got the intent wrong, yet again.
It should not replace a full diagnosis. Autism is complex, and even those with genetic forms of autism show heterogeneity in symptoms. They each need comprehensive evaluations. But this is a good start. Listen to the podcast and check out the ASDQ here! It’s open source!
References below:
https://pubmed.ncbi.nlm.nih.gov/36670671/
It’s that time! The ASF Year of End Science Wrap-up was published in December, so it’s time to share it on the podcast. We cover everything from parent mediated interventions to genetics and racial and ethnic disparities. You can listen here or read it on the ASF website here: https://autismsciencefoundation.org/autism-research-in-2022/
Like ASD, the prevalence of ADHD has increased significantly in the past 2 decades. A critical analysis examines the factors, and many of them can be applicable to the increase in the rise of autism diagnoses: increased diagnosis in adults, looser diagnostic criteria, and untrained professionals making the diagnoses. While they are not of course the same, listen to some of their arguments and read their comments (link below) to see if you agree with my assessment.