Skip to Content

Adaptive wheel exercise for mouse models of Parkinson’s Disease (2025)

Skelton, H., Grogan, D., Kotlure, A. et al.

Abstract

Background: Physical exercise has been extensively studied for its therapeutic properties in neurological disease, particularly Parkinson's Disease (PD). However, the established techniques for exercise in mice are not well suited to motor-deficient disease-model animals, rely on spontaneous activity or force exercise with aversive stimuli, and do not facilitate active measurement of neurophysiology with tethered assays. Motorized wheel exercise may overcome these limitations, but has not been shown to reliably induce running in mice. New method: We developed an apparatus and technique for inducing exercise in mice without aversive stimuli, using a motorized wheel that dynamically responds to subject performance. Results: A commercially available motorized wheel system did not satisfactorily provide for exercise, as mice tended to avoid running at higher speeds. Our adaptive wheel exercise platform allowed for effective exercise induction in the 6-hydroxydopamine mouse model of PD, including with precise behavioral measurements and synchronized single-unit electrophysiology. Comparison with existing methods Our approach provides a superior physical platform and programming strategy compared to previously described techniques for motorized wheel exercise. Unlike voluntary exercise, this allows for controlled experimental induction of running, without the use of aversive stimuli that is typical of treadmill-based techniques. Conclusions: Adaptive wheel exercise should allow for physical exercise to be better studied as a dynamic, physiological intervention in parkinsonian mice, as well as other neurological disease models.

Published
2025

Animal Type
Mouse, Rodent
Topic
Disease/Experimental Model

Citation
Skelton, H., Grogan, D., Kotlure, A. et al. 2025. Adaptive wheel exercise for mouse models of Parkinson's Disease. Journal of Neuroscience Methods 414, 110314.

Full Article
https://doi.org/10.1016/j.jneumeth.2024.110314

Back to top