Abstract
The spontaneous in vivo firings of neuron in mouse hippocampus are generally considered as neuronal noise, where there is no any correlation in the inter-spike interval (ISI) sequences. In the present study, we investigate the nature of the ISI sequences of neuron in CA1 area of mouse hippocampus. By using the detrended fluctuation analysis (DFA), we calculated the fluctuation or scaling exponent of the ISI sequences. The results indicated that there exists the long-range power-law correlation over large time scale in the ISI sequences. To further investigate the long-range correlation of ISI, we studied the long-range correlation of ISI sequences from different types of neurons in mouse hippocampus, which are four types of interneurons categorized by their firing patterns. Our results show the presence of long-range correlations in the ISI sequence of different types of neurons. Furthermore, the shuffle surrogate data achieved by randomly shuffle the original ISI sequence is used to verify our conclusion. The application of shuffle surrogate shows that the long-range correlation is destroyed by randomly shuffle, which demonstrates that there is actually the long-range correlation in the ISI sequence. Furthermore, we also compare the long-range correlations of ISI sequence when mice are in different behavioral states, slow-wave sleep (SWS) and active exploration (AE). Our results indicated that the ISI sequences exhibit different extent of long-range correlations: the long-range correlation is significantly stronger when mice are in AE than that of ISI sequence when mice are in SWS, which demonstrated that the varied long-range correlations exhibiting in ISIs of interneurons might be associated with activities of neuronal network regulating the ongoing neuronal activity of different interneurons.
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
Ashkenazy, Y., Lewkowicz, M., Levitan, J., Havlin, S., Saermark, K., Moelgaard, H.: Thomsen PEB Fractals, 4(1), 85-91 (1999)
Bahar, S., Kantelhardt, J.W., Neiman, A., Rego, H.H.A., Russell, D.F., Wilkens, L., Bunde, A., Moss, F.: Long-Range Temporal Anti-Correlations in Paddlefish Eletroreceptors. Europhys. Lett. 56(3), 454–460 (2001)
Bhattacharya, J., Edwards, J., Mamelak, A.N., Schuman, E.M.: Long-Range Temporal Correlations in the Spontaneous Spiking of Neurons in the Hippocampal-Amygdala complex of humans. Neuroscience 131, 547–555 (2005)
Burgess, N., Maguire, E.A., O’Keefe, J.: The Human Hippocampus and Spatial and Episodic Memory. Neuron 35, 625–641 (2002)
Chen, Z., Ivanov, P.C., Hu, K., Stanley, H.E.: Effect of Nonstationarities on Detrended Fluctuation Analysis. Physical Review E 65 04117, 1–15 (2002)
Harris, K.D., Henze, D.A., Hirase, H., Leinekugel, X., Dragoi, G., Czurko, A., Buzsaki, G.: Spike Train Dynamics Predicts Theta-related Phase Precession in Hippocampal Pyramidal Cells. Nature 417, 738–741 (2002)
Hausdorff, J.M., Peng, C.K., Ladin, Z., Wei, J.Y., Goldberger, A.L.: Is Walking a Random Walk? Evidence for Long-Range Correlations in Stride Interval of Human gait. J Appl Physiol 78, 349–358 (1995)
Ivanov, P.C., Bunde, A., Amaral, L.A.N., Havlin, S., Fritsch-Yelle, J., Baevsky, R.M., Stanley, H.E.: Sleep-Wake Differences in Scaling Behavior of the Human Heartbeat: Analysis of Terrestrial and Long-Term Space Flight Data. Europhys. Lett. 48(5), 594–600
Jackson, B.S.: Including Long-Range Dependence in Integrated-and-Fire Models of the High Interspike-Interval Variability of Cortical Neurons. Neural Computation 16, 2125–2195 (2004)
Lan, T.H., Xu, B.Q., Yuan, H.J., Lin, J.R.: Rescaled Range Analysis Applied to the Study Delayed Rectifier Potassium Channel Kinetics. Biophys Chem 106(1), 67–74 (2003)
Lin, L.N., Osan, R., Shoham, S., Jin, W.J., Zuo, W.Q., Tsien, J.Z.: Identification of Network-Level Coding Units for Real-Time Representation of Episodic Experiences in the Hippocampus. Proc. Natl. Acad. Sci. 102(17), 6125–6230 (2005)
Lin, L.N., Chen, G.F., Xie, K., Zaia, K.A., Zhang, S., Tsien, J.Z.: Large-Scale Neural Ensemble Recording in the Brains of Freely Behaving Mice. J of Neurosc Methods 155, 28–38 (2006)
Liu, Y., Cizeau, P., Meyer, M., Peng, C.K., Stanley, H.E.: Correlations in Economic Time Series. Physica A 245, 437–440 (1997)
Liu, Y., Gopikrishnan, P., Cizeau, P., Meyer, M., Peng, C.K., Stanley, H.E.: Statistical Properties of the Volatility of Price Fluctuations. Phys Rev E 60(2), 1390–1400 (1999)
Montroll, E.W., Shlesinger, M.F.: Nonequilibrium Phenomena? In: Lebowitz, J.L., Montroll, E.W. (eds.) From Stochastics to Hydrodynamics, pp. 1–121. North-Holland, Amsterdam (1984)
Moruzzi, G., Magoun, H.W.: Brainstem Reticular Formation and Activation of the EEG. Electroencephal. Clin. Neurophysiol L, 455–473 (1949)
Peng, C.K., Buldyrev, S.V., Havlin, S., Simons, M., Stanley, H.E., Goldberger, A.L.: Mosaic Organization of DNA Nucleotides. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 49, 1685–1689 (1994)
Peng, C.K., Havlin, S., Stanley, H.E., Goldberger, A.L.: Quantification of Scaling Exponents and Crossover Phenomena in Nonstationary Heartbeat Time Series. Chaos 5, 82–87 (1995)
Penzel, T., Kantelhardt, J.W., Grote, L., Peter, J.H., Bunde, A.: Comparison of Detrended Fluctuation Analysis and Spectral Analysis for Heart Rate Variability in Sleep and Sleep Apnea. IEEE Trans. Biomed. Eng. 50, 1143–1151 (2003)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Guo, SB., Wang, Y., Yan, X., Lin, L., Tsien, J., Huang, DS. (2007). Long-Range Temporal Correlations in the Spontaneous in vivo Activity of Interneuron in the Mouse Hippocampus. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science(), vol 4682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74205-0_137
Download citation
DOI: https://doi.org/10.1007/978-3-540-74205-0_137
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74201-2
Online ISBN: 978-3-540-74205-0
eBook Packages: Computer ScienceComputer Science (R0)