This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award of $614,957 to The Trustees of the University of Pennsylvania will fund the design, development, and testing of an objective, reproducible, and scalable multimodal system to observe and quantitatively assess motor imitation performance in children with autism spectrum disorder (ASD). The key objectives of this 3-year project are to: 1) design...
This NIMH Project Grant award of $446,490 to Esperimage LLC, a startup company out of Washington University, will develop efficient and flexible data registration and modeling procedures to complement their high-fidelity, wearable, optical neuroimaging technology. The goal is to enable naturalistic brain imaging in adults and children to advance the study and treatment of autism spectrum disorder (ASD), a neurodevelopmental disorder affecting 1 in 36 children. The funding, awarded under the...
This federal Project Grant award in the amount of $794,931 was provided by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242). The grant supports a longitudinal study to investigate the relationship between early parent-infant synchrony and later developmental outcomes in middle childhood for infants at genetic risk for ADHD or autism spectrum disorder (ASD). The study will leverage three existing cohorts of infants (N=326) previously...
This $778,398 National Institute of Mental Health project grant will fund research at the University of California, San Diego to test the accuracy of eye tracking as an early screening tool for autism spectrum disorder (ASD) in the general pediatric population. The research aims to screen approximately 8,000 toddlers ages 12-24 months attending well-baby checkups over the five-year period from May 2023 to March 2028. Researchers will use eye tracking technology to measure social attention...
The University of Louisville received a $249,995 Project Grant from the National Science Foundation to develop an artificial intelligence-enabled software framework for the automatic identification of genetic and neuroimaging markers of Autism Spectrum Disorder. The goal is to reduce the age of diagnosis to approximately six months and provide a detailed profile of where individuals fall on the autism spectrum. The proposed computer-assisted diagnostic system will analyze brain structure and...
This $1,309,500 Project Grant awarded by the National Institutes of Health (NIH) under the Trans-NIH Research Support (CFDA 93.310) program supports the development of a novel digital psychiatry diagnostic framework that utilizes crowdsourcing algorithms to improve the specificity of machine learning models in distinguishing between autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) in adolescents. The key products and services to be delivered under this 3-year...
This federal Project Grant award from the National Institute of Mental Health (NIMH), under CFDA Program 93.242 Mental Health Research Grants, provides $148,423 to the University of Kansas Center for Research Inc. to study sensory feedback mechanisms of fine and gross motor control in individuals with autism spectrum disorder (ASD), with and without intellectual disability (ID). The key objectives are to clarify the sensory feedback and brain mechanisms associated with motor control deficits...
The National Science Foundation (NSF) awarded a $319,556 Project Grant under the Computer and Information Science and Engineering (CISE) program to The Research Foundation for the State University of New York (RF-SUNY) at the University at Albany. The project aims to advance computational modeling of autism spectrum disorder (ASD) through multimodal data collection, fusion, and phenotyping. The research team will integrate behavioral data (e.g. eye tracking, audio/video) with neuroimaging data...
This $357,876 Project Grant awarded by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) supports research to develop and utilize electrophysiological and behavioral biomarkers for assessing social engagement in children with autism. The primary goal is to prepare the principal investigator, Dr. Alexandra Bey, for an independent research career focused on this area. The project involves: 1) acquiring, processing, and analyzing human...
This Project Grant award, valued at $2,504,682.00 and funded by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants (CFDA 93.242) program, supports a research study examining the links between neonatal brain connectivity (the "connectome") and later social development outcomes in infants with and without a family history of autism. The key products and services to be delivered under this grant include: Collection of brain imaging data at 42-44 weeks...