Rat Locomotion Detection Based on Brain Functional Directed Connectivity from Implanted Electroencephalography Signals
Abstract
:1. Introduction
2. Materials and Methods
2.1. EEG Data Description
2.2. EEG Data Preprocessing
2.3. Functional Directed Connectivity Computation
2.4. Machine Learning Algorithms for Classifying Locomotion States by Brain Functional Directed Connectivity
2.5. Statistics
3. Results
3.1. Brain Functional Directed Connectivity in Rats Varied with the Locomotion State
3.2. Brain Functional Directed Connectivity in Rats Presented a Significant Difference in Each Sub-Band
3.3. Identifying Locomotion States by Their Brain Functional Directed Connectivity
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Li, B.; Zhang, M.; Liu, Y.; Hu, D.; Zhao, J.; Tang, R.; Lang, Y.; He, J. Rat Locomotion Detection Based on Brain Functional Directed Connectivity from Implanted Electroencephalography Signals. Brain Sci. 2021, 11, 345. https://doi.org/10.3390/brainsci11030345
Li B, Zhang M, Liu Y, Hu D, Zhao J, Tang R, Lang Y, He J. Rat Locomotion Detection Based on Brain Functional Directed Connectivity from Implanted Electroencephalography Signals. Brain Sciences. 2021; 11(3):345. https://doi.org/10.3390/brainsci11030345
Chicago/Turabian StyleLi, Bo, Minjian Zhang, Yafei Liu, Dingyin Hu, Juan Zhao, Rongyu Tang, Yiran Lang, and Jiping He. 2021. "Rat Locomotion Detection Based on Brain Functional Directed Connectivity from Implanted Electroencephalography Signals" Brain Sciences 11, no. 3: 345. https://doi.org/10.3390/brainsci11030345