This repository contains relevant codes and implementation of EEG microstate research in propofol-induced anesthesia. The details of method are included in our paper.
The EEG recordings were freely open-access in University of Cambridge Data Repository, comprising of pretreated spontaneous EEG and behavioral data from 20 healthy participants (9 male, 11 female; mean age = 30.85; S.D. = 10.98) during propofol-induced transition of anesthesia with ethical approval provided by the Cambridgeshire 2 Regional Ethics Committee. All clinical investigations were conducted in line with the Declaration of Helsinki.
The toolbox should be loaded before the usage of the codes.
If you find the code useful, please consider to cite our paper:
- [Shi2020] Shi, W., Li, Y., Liu, Z., Li, J., Wang, Q., Yan, X., Wang, G. (2020). Non-Canonical Microstate Becomes Salient in High Density EEG During Propofol-Induced Altered States of Consciousness. Int. J. Neural Syst., 30(2), 2050005-1.
- [Li2020] Li, Y., Shi, W., Liu, Z., Li, J., Wang, Q., Yan, X., Cao, Z., Wang, G. (2020). Effective brain state estimation during propofol-induced sedation using advanced EEG microstate spectral analysis. IEEE Journal of Biomedical and Health Informatics.
- [Zhang2021] Zhang, K., Shi, W., Wang, C., Li, Y., Zhi, A., Liu, T., Li, J., Yan, X., Wang, Q., Cao, Z., Wang, G. (2021). Reliability of EEG microstate analysis at different electrode densities during propofol-Induced transitions of brain states. NeuroImage, 231:117861.
We welcome any suggestion to help improve the codes and methodology. Please feel free to contact me if you have any question. E-mail: allard.w.shi at gmail.com