# Manipulating Neural Oscillations with Non-Invasive Sensory Stimulation for Alzheimer's Disease Intervention

> **NIH NIH R01** · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · 2024 · $704,398

## Abstract

Alzheimer's disease (AD) is an incurable brain disorder, with a staggering human and financial cost in a rising
aging population. The complexity of its pathophysiology has proven to be a daunting challenge in the
development of effective pharmacological interventions. We have recently shown that noninvasive Gamma
ENtrainment Using Sensory stimuli (GENUS) to induce neural oscillations in the gamma frequency range (30-
90 Hz) could ameliorate pathology in various AD mouse models. Mice subjected to GENUS regime exhibited
positive effects on microglia, astrocytes, cerebral vasculature, as well as reduced accumulation of amyloid and
hyperphosphorylated tau in respective amyloid and tauopathy mouse models. However, the mechanisms by
which GENUS impacts cell-cell interactions, in particular, interactions between neurons and microglia, are not
clear. To this end, we will utilize a combination of AD mouse models and innovative iPSC 3D co-culture system
to assess the role of microglia in modifying the GENUS response, focusing on the contributions of microglial AD
risk genes, APOE and TREM2, in modulating the neuroimmune interactions in response to GENUS.

## Key facts

- **NIH application ID:** 10768686
- **Project number:** 5R01AG069232-03
- **Recipient organization:** MASSACHUSETTS INSTITUTE OF TECHNOLOGY
- **Principal Investigator:** Li-Huei Tsai
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $704,398
- **Award type:** 5
- **Project period:** 2022-04-01 → 2026-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10768686

## Citation

> US National Institutes of Health, RePORTER application 10768686, Manipulating Neural Oscillations with Non-Invasive Sensory Stimulation for Alzheimer's Disease Intervention (5R01AG069232-03). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10768686. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*