This Project Grant award from the National Institute of Environmental Health Sciences (NIEHS), under the Medical Library Assistance (CFDA 93.879) federal grant program, provides $1,042,200.00 to The Leland Stanford Junior University to develop and validate a novel computational framework for identifying, validating, and characterizing biological subtypes of psychiatric disorders, with a specific focus on autism. The key products and services to be delivered under this 4-year award (8/9/2024 - 5/31/2028) include: 1) developing methods to extract individual-level neural fingerprints, particularly brain circuit dynamics, from human brain imaging data; 2) developing analytical procedures to stratify psychiatric disorders using these neural fingerprints and applying them to identify and validate biological subtypes of autism; and 3) performing integrative analysis to determine the transcriptomic signatures of the identified autism subtypes by combining neural fingerprints and human brain gene expression data. This work aims to revolutionize the understanding of the etiology of autism and provide a new computational framework for improved stratification of other psychiatric disorders, ultimately leading to better diagnosis and more effective treatments.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $347.4k | 5/2/25 | ||
| Not listed | $347.4k | 8/9/24 | ||
| Not listed | $347.4k | 8/9/24 |