# Neuronal activity modulation and age-related neurodegeneration

> **NIH NIH R21** · CLEVELAND CLINIC LERNER COM-CWRU · 2020 · $444,610

## Abstract

Abstract
Neurodegeneration-related decline affects the health of millions of patients with
Alzheimer's disease worldwide and imposes a heavy emotional and financial burden on
patients, their families, and their communities. Commonly-used brain activity recording
methods cannot probe single-cell activity and therapeutic approaches are evaluated
based on their success at relieving disease symptoms, and not their ability to restore
normal neuronal functionality. Therefore, the relationships between age-related
neurodegeneration, impaired brain circuitry, and disrupted neuronal activity patterns in
Alzheimer's disease are poorly understood, and there are clear knowledge gaps
regarding how they change during disease progression. Drs. Dana, Raber and their
colleagues offer a new approach for chronic recording of the activity from tens of
thousands of neurons across the mouse cortex, with single-cell resolution, and in freely-
moving mice. This approach will be used for longitudinal recording of cortex-wide activity
in mouse model of Alzheimer's disease-like degeneration during cognitive and behavioral
tasks, in order to identify neurodegeneration-related changes in cortical activity patterns.

## Key facts

- **NIH application ID:** 9874303
- **Project number:** 1R21AG065914-01
- **Recipient organization:** CLEVELAND CLINIC LERNER COM-CWRU
- **Principal Investigator:** HOD Michael DANA
- **Activity code:** R21 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $444,610
- **Award type:** 1
- **Project period:** 2020-02-01 → 2023-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9874303

## Citation

> US National Institutes of Health, RePORTER application 9874303, Neuronal activity modulation and age-related neurodegeneration (1R21AG065914-01). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9874303. Licensed CC0.

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