LENA (Language Environmental Analysis) intends to determine whether infant vocalizations predict subsequent autism diagnosis and later language and social communication scores, and to specify the relationship between caregiver speech and infant communication skills. This study will determine if multivariate caregiver speech is related to targeted prefrontal and temporal brain regions. By determining if caregiver speech can have a protective effect on brain development, we forge a new scientific approach to studying communication development in infants at elevated likelihood of autism.

This study is working in collaboration with PI Meghan Swanson at University of Minnesota & the IBIS Network as a part of their IBIS-Early Prediction Study (IBIS-EP).

NIH Reporter

Please contact Sarah Schillinger at carlanguagelab@chop.edu if interested in participating or learning more about this study.

CLASS-ACT (Computational Linguistics for Autism-related Social Skills: Assessment for Characterization and Therapy) aims to identify measures of social communication to inform intervention efforts for transition-aged youth on the autism spectrum.

This study is working in collaboration with Ty Vernon at the University of California, Santa Barbara and Koegel Autism Center.

NIH Reporter

Please contact Calli Faulk at carlanguagelab@chop.edu if interested in participating or learning more about this study.

Please contact Amanda Lee at carlanguagelab@chop.edu if interested in learning more about this study.

This study uses linguistic and fMRI data from the IBIS Network to find specific vocalization characteristics that differentiate infants later diagnosed with ASD from other children. In collaboration with IBIS.

Please contact Sarah Schillinger at carlanguagelab@chop.edu if interested in learning more about this study.