# Algorithm and Data Analysis (ADA) Core

> **NIH NIH P30** · THE MIND RESEARCH NETWORK · 2020 · $354,840

## Abstract

Project Summary/Abstract
 The algorithm and data analysis (ADA) core of this phase III COBRE will provide basic and advanced centralized image analysis resources for processing multimodal imaging data. These resources include tools designed for basic and advanced analysis of structural MRI (sMRI), MR spectroscopy (MRS), function MRI (fMRI),
diffusion MRI (dMRI), magnetoencephalography (MEG), electroencephalography (EEG), and genetics data. The
ADA Core will play a leading role in developing and providing software that is needed to solve basic image
analysis problems that arise when working with MR and MEG/EEG data. This will be accomplished by providing
a core set of tools and approaches for analysis of imaging and genetic data. The core set of resources includes
expertise and tools for analyzing all first level-imaging data (automated pipeline preprocessing) as well as advanced algorithms for network-based functional and structural connectivity measures to address in a comprehensive way the scientific questions being asked. We will work with the tools developed locally as well as widely-
used tools developed by other groups to enable network-based analysis, data-fusion of multimodal data, and
prediction/classification approaches. Importantly, a key aspect of this COBRE and the ADA core is focused on
combining multimodal data enabling investigators to leverage additional information via joint analysis of multiple
modalities (data fusion). An additional area of emphasis will be on the development of realistic simulation approaches, to enable comparisons of algorithms, optimization of parameters, and to provide intuition about how
new algorithms work. Finally, the ADA core will also provide essential training about data analysis of brain imaging and genetic data, as well as mentoring for specific projects. This will ensure investigators and potential
core users are informed about the various algorithms, understand how to make analysis choices given a particular hypothesis, and have a basic idea of how to implement such algorithms themselves. The director of the ADA
Core is Dr. Calhoun, who has over 20 years of experience in developing tools and approaches for working with
unimodal and multimodal imaging and genetics data. Co-director Dr. Cheryl Aine has extensive experience in
unimodal and multimodal imaging with MEG/EEG.
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## Key facts

- **NIH application ID:** 9925099
- **Project number:** 5P30GM122734-03
- **Recipient organization:** THE MIND RESEARCH NETWORK
- **Principal Investigator:** VINCE D CALHOUN
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $354,840
- **Award type:** 5
- **Project period:** — → 2020-05-02

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9925099

## Citation

> US National Institutes of Health, RePORTER application 9925099, Algorithm and Data Analysis (ADA) Core (5P30GM122734-03). Retrieved via AI Analytics 2026-06-11 from https://api.ai-analytics.org/grant/nih/9925099. Licensed CC0.

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