DYNAMIC NEURAL SYSTEMS UNDERLYING SOCIOEMOTIONAL FUNCTION - PROJECT SUMMARY THIS IS AN APPLICATION FOR A PA…
Federal financial assistance recorded from USAspending. This is not a procurement contract.
Assistance award details
- Assistance award identifier
- ASST_NON_R00AG065457_075
- FAIN
- R00AG065457
- Recipient
- REGENTS OF THE UNIVERSITY OF CALIFORNIA, SAN FRANCISCO, THE
- Awarding agency
- Department of Health and Human Services
- Funding agency
- Department of Health and Human Services
- Assistance listing (CFDA)
- 93.866
- Total obligated
- $952,634
- Period
- Aug 1, 2020 – May 31, 2025
- Fiscal year
- 2022
- Place of performance state
- CA
- Source file
- FY2022_All_Assistance_Full_20261006.zip
Description
DYNAMIC NEURAL SYSTEMS UNDERLYING SOCIOEMOTIONAL FUNCTION - PROJECT SUMMARY THIS IS AN APPLICATION FOR A PATHWAY TO INDEPENDENCE AWARD (K99/R00) FROM DR. LORENZO PASQUINI, A POSTDOCTORAL SCHOLAR IN CLINICAL NEUROIMAGING AT THE MEMORY AND AGING CENTER (MAC), UNIVERSITY OF CALIFORNIA, SAN FRANCISCO (UCSF). DR. PASQUINI IS AN EARLY-CAREER NEUROSCIENTIST INVESTIGATING THE NEURAL SYSTEMS UNDERLYING SOCIOEMOTIONAL SYMPTOMS IN NEURODEGENERATIVE DISEASES. DR. PASQUINI HAS A STRONG BACKGROUND IN NEUROSCIENCE, CLINICAL NEUROIMAGING, AND MACHINE-LEARNING TECHNIQUES, BUT HE REQUIRES MENTORED RESEARCH AND HIGH-LEVEL TRAINING IN FOUR DIFFERENT AREAS TO BECOME ESTABLISHED AS AN INDEPENDENT INVESTIGATOR. THE TRAINING AND RESEARCH PROGRAM OUTLINED IN THIS PROPOSAL WILL PROVIDE DR. PASQUINI WITH THE SUPPORT NECESSARY TO ACCOMPLISH THE FOLLOWING GOALS: 1) GAIN EXTENDED EXPERTIZE IN THE CLINICAL MANIFESTATION OF SOCIOEMOTIONAL SYMPTOMS AMONG ELDERLY POPULATIONS; 2) ACHIEVE PROFICIENCY IN ANALYSIS OF MULTIMODAL DYNAMIC SYSTEMS THROUGH THE APPLICATION OF CUTTING-EDGE MACHINE-LEARNING ALGORITHMS; 3) GET PROFICIENCY IN THE ANALYSIS OF AUTONOMIC PHYSIOLOGICAL RECORDINGS; AND 4) DEVELOP AN INDEPENDENT RESEARCH CAREER NICHE BASED ON SCIENTIFIC PRODUCTIVITY AND GRANT APPLICATIONS. TO ACHIEVE THESE GOALS, DR. PASQUINI HAS ASSEMBLED A MENTORSHIP TEAM INCLUDING A PRIMARY MENTOR, DR. WILLIAM SEELEY, A BEHAVIORAL NEUROLOGIST WITH DEEP EXPERTIZE IN NEUROANATOMY AND NEUROIMAGING OF NEURODEGENERATIVE DISEASES; A CO-MENTOR, DR. VIRGINIA STURM, A CLINICAL PSYCHOLOGIST WHO INVESTIGATES AUTONOMIC AND SOCIOEMOTIONAL DEFICITS ACROSS DISTINCT DEMENTIA SYNDROMES; A SECOND CO-MENTOR, DR. MANISH SAGGAR, A COMPUTATIONAL NEUROSCIENTIST DEVELOPING COMPUTATIONAL METHODS TO MAP DYNAMIC BRAIN ACTIVITY IN HEALTHY AND PSYCHIATRIC POPULATIONS; AND A SIGNIFICANT CONTRIBUTOR, DR. ISABEL ALLEN, A STATISTICIAN EXPERT IN MACHINE-LEARNING. THIS PROPOSAL DESCRIBES THE APPLICATION OF INNOVATIVE TECHNIQUES THAT AIM TO ELUCIDATE