# Arousal and Timekeeping in a Mouse Model of Parkisonism (Supplement)

> **NIH NIH R15** · UTAH STATE UNIVERSITY · 2024 · $145,996

## Abstract

PROJECT SUMMARY / ABSTRACT
This is an application for an administrative supplement to the original R15 application "Arousal
and Timekeeping in a Mouse Mode of Parkinsonism" to extend our studies to mouse models of
Alzheimer's Disease. Neurodegenerative disorders like Parkinson’s Disease (PD), Huntington’s
Disease, and Alzheimer's Disease (AD) are characterized by drastic impairments in planning, as
well as cognitive deficits, some of which stem from deficits in estimating durations. Estimation and
reproduction of durations in the seconds-to-minutes range are critical for fundamental processes
such as associative learning, planned motor responses and decision-making. We propose to
extend the original project to evaluate timed motor response deficits in a mouse model of AD. We
will investigate the role of arousal in alterations of timed response selection using a newly
developed model of timed response selection deficits. We will also evaluate pharmacological
approaches to rescue motor timing deficits. The project will enhance our understanding of
neuronal processes involved in cognitive and motor control deficits in neurodegenerative
disorders, and will help develop new treatment strategies in animal models, with possible
subsequent impact on clinical treatments.

## Key facts

- **NIH application ID:** 10938966
- **Project number:** 3R15NS123824-01A1S1
- **Recipient organization:** UTAH STATE UNIVERSITY
- **Principal Investigator:** CATALIN V. BUHUSI
- **Activity code:** R15 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $145,996
- **Award type:** 3
- **Project period:** 2022-04-01 → 2026-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10938966

## Citation

> US National Institutes of Health, RePORTER application 10938966, Arousal and Timekeeping in a Mouse Model of Parkisonism (Supplement) (3R15NS123824-01A1S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10938966. Licensed CC0.

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