# Effects of cell-type specific brain stimulation in Alzheimer's model mice

> **NIH NIH R03** · MEDICAL UNIVERSITY OF SOUTH CAROLINA · 2021 · $150,500

## Abstract

Project Abstract.
Alzheimer’s disease is the most common neurodegenerative disorder and the leading cause of
dementia in the elderly. Aberrant brain activity has become recognized as a key symptom in the
prodromal period of Alzheimer’s disease, raising the possibility that brain stimulation in an early
phase could prevent and restore cognitive decline in Alzheimer’s disease.
In the current proposal, using mouse model of Alzheimer’s disease, we will investigate how the
excitatory pyramidal neurons and inhibitory interneurons underlie the aberrant cortical activity and
affect the progression of the disease. In Aim 1, we will visualize the activity of pyramidal neurons
and interneurons longitudinally using in vivo two-photon imaging, and examine how the activity
changes during the formation of amyloid-beta plaques. In Aim 2, we will manipulate the activity of
pyramidal neurons and interneurons using optogenetics and examine how such manipulation will
affect the aberrant activity and the progress of the disease. The findings in this project will provide
pivotal information on how we can intervene and prevent cognitive decline, informing much-
needed solutions for patients who suffer from Alzheimer’s disease.

## Key facts

- **NIH application ID:** 10110189
- **Project number:** 1R03AG070517-01
- **Recipient organization:** MEDICAL UNIVERSITY OF SOUTH CAROLINA
- **Principal Investigator:** Takashi Sato
- **Activity code:** R03 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $150,500
- **Award type:** 1
- **Project period:** 2021-02-01 → 2023-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10110189

## Citation

> US National Institutes of Health, RePORTER application 10110189, Effects of cell-type specific brain stimulation in Alzheimer's model mice (1R03AG070517-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10110189. Licensed CC0.

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