# ENIGMA-COINSTAC-APOE2 Functional and structural connectome protective mechanisms for Alzheimer’s disease and mood disorders: Request for supplemental funds for NIH R01:1R01MH121246

> **NIH NIH R01** · GEORGIA STATE UNIVERSITY · 2020 · $354,194

## Abstract

Abstract
 In the supplement we propose to partner with the ENIGMA APOE2 working group, led by Paul
Thompson, to uncover the structural and functional network changes associated with the
protective factor of apolipoprotein variant ε2, which occurs in approximately 8% of the population.
We will also evaluate the relationship of brain measure to apathy and anhedonia within each
APOE variant (which has also shown to be protective against mood disorders) and identify
common and unique aspects in our mental illness cohorts. To do this we will develop a
decentralized statistical testing framework for decentralized multivariate analysis with group
independent component analysis (ICA) and also an enhanced data fusion approach. This will
enable us to evaluate, in thousands of individuals, the unique structural and functional signatures
of individuals with the protective APOE variant and the profiles of negative symptoms and their
relationship to profiles of these symptoms in mental illness assessed within the parent R01.

## Key facts

- **NIH application ID:** 10122700
- **Project number:** 3R01MH121246-02S1
- **Recipient organization:** GEORGIA STATE UNIVERSITY
- **Principal Investigator:** VINCE D CALHOUN
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $354,194
- **Award type:** 3
- **Project period:** 2019-08-02 → 2024-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10122700

## Citation

> US National Institutes of Health, RePORTER application 10122700, ENIGMA-COINSTAC-APOE2 Functional and structural connectome protective mechanisms for Alzheimer’s disease and mood disorders: Request for supplemental funds for NIH R01:1R01MH121246 (3R01MH121246-02S1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10122700. Licensed CC0.

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