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Multimodal Functional Analysis Platform: 3. Spherical Treadmill System for Small Animals
Norihiro Katayama1, Mitsuyuki Nakao2, Tetsu Tanaka3
1Biomodeling Laboratory, Department of Applied Information Sciences, Graduate School of Information Sciences, Tohoku University, Sendai, Japan. katayama@ecei.tohoku.ac.jp.
Advances in Experimental Medicine and Biology
|January 5, 2021
Summary
This chapter introduces spherical treadmills, essential for neuroscience research with restrained small animals. It covers their mechanics, data analysis, and provides programming tools for virtual locomotion experiments.
Area of Science:
- Neuroscience
- Biotechnology
- Animal Behavior Research
Background:
- Advanced neuroscience techniques like optogenetics require controlled animal movement.
- Restraining small animals is often necessary for precise experimental control.
- Spherical treadmills offer a solution for virtual locomotion in restrained subjects.
Purpose of the Study:
- To provide researchers with fundamental knowledge of spherical treadmill operation.
- To enable researchers to initiate experiments using spherical treadmills.
- To offer practical guidance on mechanical analysis, data logging, and preprocessing.
Main Methods:
- Mechanical analysis of spherical treadmill design.
- Explanation of data logging procedures for behavioral tracking.
- Description of data preprocessing techniques for analysis.
- Provision of simple computer programs for experimental setup.
Main Results:
- A clear understanding of the physical principles behind spherical treadmills.
- Established methods for data acquisition and preparation for behavioral analysis.
- Accessible software tools to facilitate experimental implementation.
Conclusions:
- Spherical treadmills are a valuable tool for neuroscience research involving virtual locomotion.
- This guide equips researchers with the necessary information to implement spherical treadmills.
- The provided resources simplify the setup and execution of experiments using this technology.

