Demographic Correlates of Autism: How Do Associations Compare Between Diagnosis and a Quantitative Trait Measure?

Prevalence of autism diagnosis has historically differed by demographic factors. Using data from 8224 participants drawn from the Environmental influences on Child Health Outcomes (ECHO) Program, we examined relationships between demographic factors and parent-reported autism-related traits as captured by the Social Responsiveness Scale (SRS; T score > 65) and compared these to relations with parent-reported clinician diagnosis of ASD, in generalized linear mixed effects regression analyses. Results suggested lower odds of autism diagnosis, but not of SRS T > 65, for non-Hispanic Black children (adjusted odds ratio [OR] = 0.

High-Potency Prenatal Cannabis Exposure and Birth Outcome Measures.

Pregnant women have limited information on the impact of prenatal cannabis exposure (PCE) alone. Our aim was to determine if PCE, without alcohol, tobacco, or illicit drug use, is associated with altered birth outcome measures in obstetrically low-risk women. In this observational cohort study, pregnant women were recruited between 2019 and 2022 from communities in Washington and Oregon, USA, and enrolled following their first trimester.

Brain volumes, cognitive, and adaptive skills in school-age children with Down syndrome.

Background: Down syndrome (DS) is the most common congenital neurodevelopmental disorder, present in about 1 in every 700 live births. Despite its prevalence, literature exploring the neurobiology underlying DS and how this neurobiology is related to behavior is limited. This study fills this gap by examining cortical volumes and behavioral correlates in school-age children with DS.

Multi-site EEG studies in early infancy: Methods to enhance data quality.

Brain differences linked to autism spectrum disorder (ASD) can manifest before observable symptoms. Studying these early neural precursors in larger and more diverse cohorts is crucial for advancing our understanding of developmental pathways and potentially facilitating earlier identification. EEG is an ideal tool for investigating early neural differences in ASD, given its scalability and high tolerability in infant populations.

Parent attitudes towards predictive testing for autism in the first year of life.

Background: Emerging biomarker technologies (e.g., MRI, EEG, digital phenotyping, eye-tracking) have potential to move the identification of autism into the first year of life.