Non-human primate models and systems for gait and neurophysiological analysis
Fengyan Liang1,2, Shanshan Yu1, Siqi Pang1
1Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China.
Frontiers in Neuroscience
|May 15, 2023
Summary
This review highlights challenges in validating brain-computer interfaces (BCIs) using non-human primates (NHPs). Future research needs advanced wireless neural recording and accurate motion capture for better neurophysiological and locomotion analysis.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Rehabilitation Technology
Background:
- Brain-computer interfaces (BCIs) are crucial for restoring function in patients.
- Non-human primates (NHPs) are vital models for validating BCIs due to physiological similarities.
- Current BCI validation in NHPs faces limitations in neural recording and motion capture technology.
Purpose of the Study:
- To review non-human primate gait analysis studies, focusing on those relevant to BCI validation.
- To identify technological limitations in current NHP BCI research.
- To propose advancements for future BCI and gait analysis in NHPs.
Main Methods:
- Literature review of 94 NHP gait analysis studies up to June 2022.
- Analysis of technological constraints in neural recording (wired vs. wireless) and motion capture systems.
- Evaluation of accuracy and speed requirements for BCI and locomotion studies.
Main Results:
- Most studies used wired neural recordings, limiting NHP locomotion research.
- Wireless neural recording systems for NHPs present challenges in signal quality, data throughput, and power.
- Existing image-based motion capture systems lack the required accuracy (error: ≥4° and 9 mm).
Conclusions:
- Future BCI and gait studies require simultaneous, high-speed, accurate neurophysiological and movement data.
- Advancements in wireless neural recording and infrared motion capture systems are necessary.
- Improved technology will enhance the scope and quality of motor and neurophysiological analysis in NHPs.
