# Core-002

> **NIH NIH P01** · UNIVERSITY OF SOUTHERN CALIFORNIA · 2020 · $214,059

## Abstract

There is now a recognized need to include sophisticated informatics components to biomedical
research. This is critical to the success of any multisite or coordinated effort and enables subsequent re-use of
data and findings in unanticipated ways and greatly enhances the overall value of the project. Core C of the
proposed P01 “Vascular Contributions To Dementia And Genetic Risk Factors For Alzheimer’s Disease” will
provide high quality computational, harmonization, and imaging resources for Projects 1, 2, and 3, Core B, and
all P01 investigators, staff, and authorized scientists. The activities of Core C will support the scientific goals of
the P01 as well as the broader national Alzheimer’s disease and dementia research community.
Given the multimodality nature of data collected as a part of the P01, robust informatics, data
management, and harmonization are critical. Core C will 1) provide an informatics data management
framework for harmonized clinical and neuropsychological data for Projects 1 and 2, and harmonized imaging
data for all P01 Projects. This centralized web-based data system will be used for registration and
documentation of participants, including archival and tracking of raw and pre-processed data and open data
dissemination; 2) ensure high quality control of all neuroimaging data across P01 Projects using a state-of-the-art
workflow for the review and assessment of diffusion tensor imaging (DTI), functional MRI (fMRI), structural
magnetic resonance imaging (MRI), dynamic contrast-enhanced (DCE) MRI, arterial spin labeling (ASL) MRI,
and dynamic susceptibility contrast (DSC) MRI data; 3) deliver a harmonized analysis workflow for each
imaging modality for each Project that can accommodate any computational environment via a user-friendly,
uniform data analysis pipeline that is accessible to all investigators; and 4) coordinate biostatistical support for
on analytic approach, data harmonization, and modeling of longitudinal datasets.

## Key facts

- **NIH application ID:** 9963134
- **Project number:** 5P01AG052350-05
- **Recipient organization:** UNIVERSITY OF SOUTHERN CALIFORNIA
- **Principal Investigator:** ARTHUR W TOGA
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $214,059
- **Award type:** 5
- **Project period:** — → 2022-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9963134

## Citation

> US National Institutes of Health, RePORTER application 9963134, Core-002 (5P01AG052350-05). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9963134. Licensed CC0.

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