06/20/2025
Dear all,
I hope you are well. I wanted to let you know that one of our graduate students, Ms. Ameira Hernandez, will be defending her MA thesis titled: “Measuring the Autism Spectrum Disorder Female Phenotype” on Tuesday 6/24/2025 at 11:00AM via Teams. You can find below her thesis abstract and the information to the virtual event.
Advisor: Dr. Corbera Lopez
Readers: Dr. Carolyn Fallahi (CCSU) and Dr. Rebecca Wood (CCSU)
Abstract: Autism Spectrum Disorder (ASD) has historically been characterized and diagnosed based on the presentation of symptoms in males, leading to a significant underdiagnosis and misdiagnosis of females with ASD. This capstone study examined the female ASD phenotype, which includes unique behavioral, social, and cognitive characteristics that diverge from traditional diagnostic frameworks. Through an extensive literature review, this study explored the biological, neurological, and psychological factors influencing ASD diagnosis in females, the limitations of current standardized assessments, and the barriers that contribute to the late or missed diagnosis of females with ASD. The study aimed to provide recommendations for improving ASD assessments to enhance diagnostic accuracy and accessibility for females, which would ultimately help address gaps in research and clinical practice. For that purpose, the extensive literature review assisted in the development of a comprehensive checklist of female-specific ASD traits to evaluate the accuracy of existing diagnostic tools in capturing these characteristics. Eight commonly used diagnostic measures for ASD were thoroughly examined, ADOS-2, ADI-R, CARS-2, DISCO, 3di, SCQ, CAT-Q, and M-CHAT, and were assessed against each of the symptom characteristics of the checklist. From that examination, a set of recommendations were developed, which suggested for an optimal assessment of the ASD female traits to use a complementary battery of tools, specifically, the ADOS-2, ADI-R, and CAT-Q along with targeted clinical queries to better identify ASD in females. By refining diagnostic methods, this research sought to improve early detection and support for females on the spectrum, reducing the prevalence of misdiagnosis and associated mental health challenges.
Link to the meeting:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_YjliNjQwM2EtZmI4MC00MGI1LTllYzgtZmU2N2Y2NjU0OTI0%40thread.v2/0?context=%7b%22Tid%22%3a%222329c570-b580-4223-803b-427d800e81b6%22%2c%22Oid%22%3a%22addf7865-bae2-467d-85ef-d23c0249775d%22%7d
All the best,
Sílvia Corbera López, Ph.D.