A Family Genetic Study of Autism and Fragile X Syndrome – 3rd Phase of the Project

In July 2024, the NDL was awarded the third renewal of A Family Genetic Study of Autism and Fragile X Syndrome (NIMH R01MH09113110). After we began the first phase of this project in 2012, our lab investigated clinical, language, and social-cognitive features that are characteristic of ASD and FMR1 conditions (fragile X syndrome (FXS) and FMR1 premutation (PM) carriers). We also [...]

Janna Guilfoyle presents exciting dissertation findings at the 2024 Frequency Following Response (FFR) Workshop in Chicago, IL

Janna Guilfoyle (6th year, clinical psychology doctoral student) presented findings from her dissertation at the 2024 Frequency Following Response (FFR) Workshop in a talk entitled "Physiological mechanisms contributing to atypical pragmatics in autism: A study of neural speech perception and speech-motor articulation." This international conference was hosted in Chicago in June 2024 by our collaborators [...]

NDL at the DevSci Graduate Student Cluster Spring 2024 Poster Symposium

The Northwestern Institute of Developmental Sciences (DevSci) fosters interdisciplinary research collaborations as part of their “Healthier, Earlier” mission to promote strong foundations in wellbeing and learning for all children as early as possible in order to improve child and community-level outcomes. The NDL is proud to support DevSci's mission, and many of our graduate students [...]

NDL presents findings in conversational speech synchrony at the 2024 Meeting on Language in Autism

At the 2024 Meeting on Language in Autism (MoLA), Janna Guilfoyle (left, 6th year clinical psychology doctoral student) presented a poster titled, “Physiological mechanisms contributing to atypical pragmatics in autism: A study of neural speech perception and speech-motor articulation,” in which she demonstrates that both the fidelity of speech sound encoding and speech-motor articulatory skills [...]

Check us out in NU Magazine!!!

Our lab has recently published important findings showing how machine learning, a branch of artificial intelligence (AI), may be used to capture clinically significant features of speech impacted in autism across different cultures and languages. This work was recently featured in Northwestern University Magazine, alongside other important findings from Northwestern, to discuss the potential of AI [...]

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