# Imaging Core

> **NIH NIH P30** · STANFORD UNIVERSITY · 2021 · $508,526

## Abstract

1. SUMMARY (Imaging Core) 
The overall goals of the Imaging Core are to obtain amyloid PET and high caliber MRI data to characterize 
Stanford ADRC participants along the AD and PD spectrums; to make these data available to a wide range of 
investigators at Stanford; and to provide training on the acquisition, interpretation, and analysis of imaging data 
relevant to neurodegenerative disease. The Imaging Core, capitalizing on Stanford's strength in brain imaging 
and radiochemistry, will focus on incorporation of amyloid PET imaging in conjunction with structural and 
functional MRI, and enable innovation for the exploration of novel PET targets. Dr. Greicius, the Core Director, 
has helped advance the application of functional connectivity measures to the study of AD. Dr. Mormino, the 
co-Director of the Imaging Core, has made contributions to characterizing the preclinical stage of AD using 
amyloid and tau PET. A second major focus of the Imaging Core will be to make the acquired data available to 
and readily used by researchers across disciplines and schools at Stanford. The Imaging Core will use the 
RedTree infrastructure to provide researchers with summary imaging data for PET (global and regional 
amyloid and tau PET values), structural measures (regional gray matter volume and thickness values), and 
resting state functional measures (network connectivity). The imaging data will be linked to subjects' ancillary 
data (including neuropsychological measures, spinal fluid proteins, plasma proteomics, etc.). This will allow the 
widest possible set of Stanford investigators, with or without imaging expertise, to test hypotheses using the 
ADRC data. The availability of amyloid PET and MRI data on the majority of clinical core participants will 
greatly enhance diagnostic accuracy which will fundamentally strengthen any clinical research undertaken at 
the Stanford ADRC. These imaging data, in conjunction with biofluid data from the Biomarker Core, will also 
enable classification according to the recent research framework of AD so that Stanford ADRC data can be 
more readily harmonized with data from other centers.

## Key facts

- **NIH application ID:** 10176348
- **Project number:** 5P30AG066515-02
- **Recipient organization:** STANFORD UNIVERSITY
- **Principal Investigator:** ELIZABETH MORMINO
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $508,526
- **Award type:** 5
- **Project period:** 2020-06-01 → 2025-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10176348

## Citation

> US National Institutes of Health, RePORTER application 10176348, Imaging Core (5P30AG066515-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10176348. Licensed CC0.

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