Long-range temporal correlations in the spontaneous in vivo activity of interneuron in the mouse hippocampus

Sheng Bo Guo, Ying Wang, Xing Yan, Longnian Lin, Joseph Zhuo Tsien, De Shuang Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 CAl 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.

Original languageEnglish (US)
Title of host publicationAdvanced Intelligent Computing Theories and Applications
Subtitle of host publicationWith Aspects of Artificial Intelligence - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings
Pages1339-1344
Number of pages6
StatePublished - Dec 1 2007
Externally publishedYes
Event3rd International Conference on Intelligent Computing, ICIC 2007 - Qingdao, China
Duration: Aug 21 2007Aug 24 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4682 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Intelligent Computing, ICIC 2007
CountryChina
CityQingdao
Period8/21/078/24/07

Fingerprint

Hippocampus
Temporal Correlation
Long-range Correlations
Spike
Neurons
Mouse
Interval
Shuffle
Neuron
Sleep
Fluctuations
Surrogate Data
Neuronal Network
Scaling Exponent
Power Law
Time Scales

Keywords

  • Detrended fluctuation analysis
  • Fractal
  • Hippocampus
  • Intemeuron
  • Long-range temporal correlations

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Guo, S. B., Wang, Y., Yan, X., Lin, L., Tsien, J. Z., & Huang, D. S. (2007). Long-range temporal correlations in the spontaneous in vivo activity of interneuron in the mouse hippocampus. In Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings (pp. 1339-1344). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4682 LNAI).

Long-range temporal correlations in the spontaneous in vivo activity of interneuron in the mouse hippocampus. / Guo, Sheng Bo; Wang, Ying; Yan, Xing; Lin, Longnian; Tsien, Joseph Zhuo; Huang, De Shuang.

Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings. 2007. p. 1339-1344 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4682 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Guo, SB, Wang, Y, Yan, X, Lin, L, Tsien, JZ & Huang, DS 2007, Long-range temporal correlations in the spontaneous in vivo activity of interneuron in the mouse hippocampus. in Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4682 LNAI, pp. 1339-1344, 3rd International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, 8/21/07.
Guo SB, Wang Y, Yan X, Lin L, Tsien JZ, Huang DS. Long-range temporal correlations in the spontaneous in vivo activity of interneuron in the mouse hippocampus. In Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings. 2007. p. 1339-1344. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Guo, Sheng Bo ; Wang, Ying ; Yan, Xing ; Lin, Longnian ; Tsien, Joseph Zhuo ; Huang, De Shuang. / Long-range temporal correlations in the spontaneous in vivo activity of interneuron in the mouse hippocampus. Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - Third International Conference on Intelligent Computing, ICIC 2007, Proceedings. 2007. pp. 1339-1344 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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