# Imaging Core

> **NIH NIH P30** · UNIVERSITY OF SOUTHERN CALIFORNIA · 2020 · $478,500

## Abstract

PROJECT ABSTRACT
As a part of the USC Alzheimer Disease Research Center competitive renewal, the Imaging Core will
continue to serve the overall mission to provide high-quality MR and PET imaging resources to the
local and broader AD research community. The ADRC Imaging Core will provide core resources, including
MR physics and PET expertise, multi-scanner sequence and protocol development, image data quality control
and management, research collaboration, and a global framework for conducting AD neuroimaging research.
The Imaging Core is led by a well-integrated and collaborative team, including Arthur Toga (Core Leader),
Judy Pa (Core Co-Leader), Meredith Braskie, Danny JJ Wang, Nasim Sheikh-Bahaei, and Paul
Thompson, who together provide expertise in vascular, functional, and structural imaging and its analyses for
3T and 7T MRI, and PET. We propose 5 specific aims that provide an imaging framework for all ADRC
projects; perform high quality control of all imaging data; develop technical and scientific approaches for ultra-
high field 7T MRI; assist in PET protocol development and quality control; and conduct education and training
in modern imaging techniques. Taken together, these goals will serve the USC ADRC’s unifying scientific
theme of vascular contributions to Alzheimer disease: risk factors, neurovascular and metabolic mechanisms,
and risk reduction.

## Key facts

- **NIH application ID:** 9922633
- **Project number:** 1P30AG066530-01
- **Recipient organization:** UNIVERSITY OF SOUTHERN CALIFORNIA
- **Principal Investigator:** ARTHUR W TOGA
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $478,500
- **Award type:** 1
- **Project period:** 2020-09-01 → 2025-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9922633

## Citation

> US National Institutes of Health, RePORTER application 9922633, Imaging Core (1P30AG066530-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9922633. Licensed CC0.

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