Abstract
Order time series analysis, a very simple and fast algorithm, is used to track the transient dynamics of electroencephalogram (EEG) recordings during the different absence seizure states in absence seizure epileptic rats. Permutation entropy, forbidden order patterns (FOP), and dissimilarity index are applied to analyze the EEG data from the seizure-free, the pre-seizure, and seizure phases. The results show that the number of FOPs in pre-seizure EEG epochs is higher than that in seizure-free EEG epochs but lower than that in seizure EEG epochs. Furthermore, we investigate order time series analysis as a tool to detect the pre-seizure state by using EEG recordings. The results show that order time series analysis can track the dynamical changes of EEG data so as to describe transient dynamics prior to the absence seizures.
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References
Aarabi A, Walloisb F, Grebe R. Does spatiotemporal synchronization of EEG change prior to absence seizures? Brain Res. 2008;1188:207–21.
Amigo J, Kennel M. Forbidden ordinal patterns in higher dimensional dynamics. Phys D. 2008;237:2893–9.
Amigo J, Zambrano S, Sanjuan M. True and false forbidden patterns in deterministic and random dynamics. Europhys Lett. 2007;79:50001.
Amigo J, Elizalde S, Kennel M. Forbidden patterns and shift systems. J Comb Theory Ser A. 2008;115:485–504.
Bahraminasab A, Ghasemi F, Stefanovska A, McClintock P, Kantz H. Direction of coupling from phases of interacting oscillators: a permutation information approach. Phys Rev Lett. 2008;100:084101.
Bandt C. Ordinal time series analysis. Ecol Model. 2005;182:229–38.
Bandt C, Pompe B. Permutation entropy: a natural complexity measure for time series. Phys Rev Lett. 2002;88:174102.
Danober L, Deransart C, Depaulis A, et al. Pathophysiological mechanisms of genetic absence epilepsy in the rat. Prog Neurobiol. 1998;55:27–57.
Meeren H, Pijn J, Van Luijtelaar E, Coenen A, Lopes da Silva F. Cortical focus drives widespread corticothalamic networks during spontaneous absence seizures in rats. J Neurosci. 2002;22:1480–95.
Ouyang G, Li X. Ordinal pattern based similarity analysis for EEG recordings. Clin Neurophysiol. 2010;121:694–703.
Ouyang G, Li X, Dang C. Deterministic dynamics of neural activity during absence seizures in rats. Phys Rev E. 2009;79:041146.
Polack P, Guillemain I, Hu E, Deransart C, Depaulis A, Charpier S. Deep layer somatosensory cortical neurons initiate spike-and-wave discharges in a genetic model of absence seizures. JNeurosci. 2007;27:6590–9.
Rosso OA, Larrondo HA, Martin MT, Plastino A, Fuentes MA. Distinguishing noise from chaos. Phys Rev Lett. 2007;99:154102.
Sleigh JW, Steyn-Ross DA, Steyn-Ross ML, Grant C, Ludbrook G. Cortical entropy changes with general anaesthesia: theory and experiment. Physiol Meas. 2004;25:921–34.
Stacey W, Litt B. Technology insight: neuroengineering and epilepsy-designing devices for seizure control. Nat Clin Pract Neurol. 2008;4:190–201.
Suffczynski P, Lopes da Silva F, Parra J, Velis D, Bouwman B, van Rijn C, van Hese P, Boon P, Khosravani H, Derchansky M, Carlen P, Kalitzin S. Dynamics of epileptic phenomena determined from statistics of ictal transitions. IEEE Trans Biomed Eng. 2006;53(3):524–32.
Zanin M, Zunino L, Rosso OA, Papo D. Permutation entropy and its main biomedical and econophysics applications: a review. Entropy. 2012;14:1553–77.
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Ouyang, G., Li, X. (2016). Order Time Series Analysis of Neural Signals. In: Li, X. (eds) Signal Processing in Neuroscience. Springer, Singapore. https://doi.org/10.1007/978-981-10-1822-0_6
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DOI: https://doi.org/10.1007/978-981-10-1822-0_6
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