Abstract
Networks of living neurons exhibit diverse patterns of activity, which are always operating far from equilibrium in the mammalian central nervous system. In this study, a blocker of glutamate transporter was employed to detect if nonlinear interactions changed when extra glutamate acted as a potent neurotoxin to neural activity in hippocampus of epileptic Wistar rats. A hypothesis was made that a decrease of complexity of information could be occurred by accumulation of glutamate in hippocampus. An investigation was performed to measure intracranial EEG, which were obtained from two parts of brain in three rat’s groups, by using multifractal detrended fluctuation analysis. The results demonstrate that the change of nonlinear interactions in neural network can be clearly detected by multifractal analysis. Moreover, small fluctuation in activity of network exhibited a decrease in multifractal behavior, suggested that the complexity of information transmitting and storing in brain network was weakened by glutamate accumulation.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Zhang, T., Turner, D.: A visuomotor reaction time task increases the irregularity and complexity of inspiratory airflow pattern in man. Neurosci. Lett. 297(1), 41–44 (2001)
Parish, L., Worrell, G., Cranstoun, S., et al.: Long-range temporal correlations in epileptogenic and non-epileptogenic human hippocampus. Neuroscience 125(4), 1069–1076 (2004)
Nikulin, V., Brismar, T.: Long-range temporal correlations in electroencephalographic oscillations: relation to topography, frequency band, age and gender. Neuroscience 130(2), 549–558 (2005)
Freeman, W., Vitiello, G.: Nonlinear brain dynamics as macroscopic manifestation of underlying many-body field dynamics. Phys. Life Rev. 3(2), 93–118 (2006)
Li, Y., Qiu, J., Yang, Z., et al.: Long-range correlation of renal sympathetic nerve activity in both conscious and anaesthetized rats. J. Neuroscience Method 172(1), 131–136 (2008)
Popivanov, D., Jivkova, S., Stomonyakov, V., et al.: Effect of independent component analysis on multifractality of EEG during visual-motor task. Signal Process. 85(11), 2112–2123 (2005)
Kantelhardt, J., Zschiegner, S., Koscielny-Bunde, E., et al.: Multifractal detrended fluctuation analysis of nonstationary time series. Physica A 316(1-4), 87–114 (2002)
Oswiecimka, P., Kwapien, J., Drozdz, S.: Wavelet versus detrended fluctuation analysis of multifractal structures. Phys. Rev. E 74(1), 16103–16120 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, T., Xu, K. (2011). Multifractal Analysis of Intracranial EEG in Epilepticus Rats. In: Lu, BL., Zhang, L., Kwok, J. (eds) Neural Information Processing. ICONIP 2011. Lecture Notes in Computer Science, vol 7062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24955-6_42
Download citation
DOI: https://doi.org/10.1007/978-3-642-24955-6_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24954-9
Online ISBN: 978-3-642-24955-6
eBook Packages: Computer ScienceComputer Science (R0)