Abstract
In order to estimate the change of brain activity under general anesthesia, the Lempel-Ziv complexity (C(n)) of electroencephalogram (EEG) of SD rat was studied in this paper. The C(n)s of EEG from different channels under different depth of anesthesia were measured and the relationship between C(n) and the depth of anesthesia (DOA) was analyzed. The result shows that the C(n) variations of EEG of different channels with DOA are similar, and predicates that the activities of every part of brain change similarly. Therefore, it is enough to detect DOA by only one channel EEG. The C(n) of EEG will decrease while the depth of anesthesia increasing and vice versa. Two thresholds of C(n) are defined, one distinguishes awake and light anesthesia state, the other distinguishes light and deep anesthesia state. Besides EEG complexity analysis, the complexity variations of four rhythms of EEG (delta, theta, alpha and beta) are also analyzed. The study shows the dynamic change of complexity of delta rhythm leads to that of EEG, so the delta rhythm is the dominant rhythm during anesthesia for rat.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Rampil, I.J.: A primer for EEG signal processing in anesthesia. Anesthesiology 89, 980–1002 (1998)
Rubin, M.A., Freeman, H.: Brain potential changes in man during cyclopropane anaesthesia. J. Neurophysiol. 3, 33–42 (1940)
Thomsen, C.E., Christensen, K.N., Rosenflack, A.: Computerized monitoring of depth of anesthesia with isoflurane. Br. J. Anesthesia. 63, 36–43 (1989)
Drummond, J.C., Brann, C.A., et al.: A comparison of median frequency, spectral edge frequency, a frequency band power ratio, total power and dominance shift in the determination of depth of anesthesia. Acta Anaesthesiologica Scandinavica 35, 693–699 (1991)
Kolmogorov, A.N.: Three approaches to the quantitative definition of information. Probl. Inform. Transmission, 1–7 (1965)
Lempel, A., Ziv, J.: On the Complexity of Finite Sequences. IEEE Trans on Information Theory 22, 75–81 (1976)
Kaspar, F., Schuster, H.G.: Easily calculable measure for the complexity of spatiotemporal patterns. Physical Review A 36, 842–848 (1987)
Radhakrishnan, N., Gangadhar, B.N.: Estimating regularity in epileptic seizure time-series data. IEEE Engineering in medicine and Biology 17, 89–94 (1998)
Zhang, X.-S., Roy, R.J.: EEG Complexity as a Measure of Depth of Anesthesia for Patients. IEEE Trans. on Biomedical Engineering 48, 1424–1433 (2001)
Zhang, X.-S., Roy, R.J.: Derived Fuzzy Knowledge Model for Estimating the Depth of Anesthesia. IEEE Trans. on Biomedical Engineering 48, 312–323 (2001)
Zhang, X.-S., Roy, R.J.: Predicting movement during anesthesia by complexity analysis of the EEG. Medical and Biological Engineering and Computing 37, 327–334 (1999)
Nayak, A., Roy, R.J., Sharma, A.: Time-frequency spectral representation of the EEG as aid in the detection of the depth of anesthesia. Ann. Biomed. Eng. 22, 501–513 (1994)
Feng, Z., Zheng, X.: The Dynamic Change of Rat EEG’s Complexity and Power Spectrum under Anesthetized Depth. Chinese Journal of Biomedical Engineering 23, 87–91 (2004)
Klimesch, W.: EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis. Brain Research Review 29, 169–195 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xu, J., Zheng, C., Liu, X., Pei, X., Jing, G. (2005). Brain Activity Analysis of Rat Based on Electroencephalogram Complexity Under General Anesthesia. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539117_55
Download citation
DOI: https://doi.org/10.1007/11539117_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28325-6
Online ISBN: 978-3-540-31858-3
eBook Packages: Computer ScienceComputer Science (R0)