Award
NIH Reporter #5P50HD093074-09
A machine learning computational approach for developing synchronized EEG and behavior biomarkers in young autistic children
Recipient
Duke University, Durham, NC, United States
Award Amount
$618,578.00
Ceiling
$618,578.00
Awarded
September 18, 2025
Identifier
5P50HD093074-09
This award funds a project to develop objective biomarkers for autism in young children using EEG, eye-tracking, machine learning, and computer vision to improve early diagnosis and intervention.
Description
The project aims to develop a multimodal biomarker combining EEG activity and synchronized behavioral measures (e.g., social attention) in young autistic children using machine learning and computer vision analysis. The goal is to improve discrimination between autistic and neurotypical children, facilitating early intervention and better outcomes.