Project Grant K99MH142720
- Federal Grant Award Summary The National Institute of Mental Health (NIMH) awarded University of California, Davis a Project Grant totaling $442,750 under the Mental Health Research Grants program (CFDA 93.242) for the period April 1, 2026 through March 31, 2028. The award funds the development of novel statistical methodologies designed to predict individualized intervention effects in datasets characterized by clustering and longitudinal measurements. The project addresses a critical gap in...
- Federal Grant Award Summary The National Institute of Mental Health (NIMH) awarded the University of California, Los Angeles a Project Grant of $424,433 under the Mental Health Research Grants program (CFDA 93.242) to develop practical frameworks and implementation tools for improving participant engagement in brain-computer interface (BCI) early feasibility studies. The award, effective March 1, 2026 through December 31, 2029, will produce two primary deliverables: a comprehensive framework for...
- Federal Grant Award Summary The National Institute of Mental Health (NIMH) awarded The Leland Stanford Junior University a Project Grant totaling $192,192.00 (CFDA 93.242, Mental Health Research Grants) beginning April 15, 2026, and concluding March 31, 2031. This award supports the development of an artificial intelligence foundation model designed to advance the understanding and treatment of Major Depressive Disorder (MDD) through functional neuroimaging analysis. The project leverages...
- Federal Grant Award Summary The National Institute of Mental Health (NIMH) awarded HealthPartners Institute a Mental Health Research Grants (CFDA 93.242) Project Grant of $199,747 on April 8, 2026, with completion targeted for March 31, 2031. This mentored K23 award supports the development of electronic health record (EHR)-based predictive models to identify young individuals with bipolar disorder at risk for severe mood episodes. The research leverages advanced machine learning analytics and...
- Federal Grant Award Summary The National Institute of Mental Health (NIMH) awarded $408,843 to the University of California, Los Angeles under the Mental Health Research Grants program (CFDA 93.242) on April 25, 2026, for a project period extending through March 31, 2028. This Project Grant funds basic neuroscience research investigating the mechanistic relationship between autonomic nervous system (ANS) dysfunction and disrupted brain activity in patients with first-episode schizophrenia. The...
- Federal Grant Award Summary The National Institute of Mental Health (NIMH) awarded a Project Grant totaling $433,125 to the University of California, Los Angeles (UCLA) under the Mental Health Research Grants program (CFDA 93.242), with an award date of September 18, 2025 and completion date of September 17, 2027. The project, titled "Investigating the Asymmetrical Development of EBF1+ Cells in the Central Amygdala and Its Functional Consequences," delivers basic neuroscience...
- Federal Grant Award Summary The National Institute of Mental Health (NIMH) awarded The Feinstein Institutes for Medical Research a Project Grant of $519,558 under the Mental Health Research Grants program (CFDA 93.242), effective June 15, 2025 through April 30, 2030. The research project focuses on identifying and validating cerebellar-cortical circuitry biomarkers as predictive indicators of antipsychotic treatment response in first-episode psychosis patients. The primary deliverables...
- Federal Grant Award Summary The National Institute of Mental Health (NIMH) awarded a Project Grant of $800,384 to The Regents of the University of California, San Francisco on March 10, 2026, under the Mental Health Research Grants program (CFDA 93.242). This award supports basic neuroscience research investigating the molecular and functional mechanisms of prefrontal-hippocampal long-range inhibition, with a project completion date of December 31, 2030. The research specifically dissects...
- Federal Grant Award Summary The National Institute of Mental Health (NIMH) awarded $818,253 to The Regents of the University of California, San Francisco under the Mental Health Research Grants program (CFDA 93.242) beginning July 1, 2025, and extending through April 30, 2030. This Project Grant supports a five-year research investigation examining neuromodulatory system abnormalities in late-life depression (LLD), with specific focus on the associations between structural and functional brain...
- Federal Project Grant Award Summary The National Institute of Mental Health (NIMH) awarded The Leland Stanford Junior University a Project Grant totaling $721,645.00 under the Mental Health Research Grants program (CFDA 93.242) to develop multimodal prognostic markers for identifying youth at clinical high risk who will transition to psychotic disorders. Beginning May 1, 2026, and extending through January 31, 2031, this research initiative will employ artificial intelligence (AI)-based...
The National Institute of Mental Health (NIMH) awarded the University of California, Los Angeles $117,263 under the Mental Health Research Grants program (CFDA 93.242) on May 6, 2026, for a K99/R00 Pathway to Independence Award concluding April 30, 2028. This award supports the development of individualized novel phenotyping and predictive models for risk and resilience in psychosis and bipolar spectrum disorders (PBSD). The research synthesizes data from NIMH-sponsored clinical high-risk cohorts, including the North American Prodrome Longitudinal Study 2 and 3 (NAPLS-2, NAPLS-3) and Accelerating Medical Partnerships – Schizophrenia (AMP-SCZ), to identify demographic, social determinants of health, clinical, cognitive, and biological factors associated with risk, remission, and resilience using machine learning methodologies. The primary deliverables include validated predictive models identifying novel combinations of risk and protective factors in PBSD, external validation of these models using digital phenotyping measures, and development of a clinician-facing nomogram for automated real-time prediction of PBSD outcomes. Additionally, the research applies temporal deep learning and explainable artificial intelligence techniques to align clinical high-risk variables with common data elements within the EPIC electronic health record system, positioning the candidate as an independent clinical researcher capable of implementing precision-based interventions and preparing for future R01 funding applications.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $117.3k | 5/8/26 |