Presentation 2012-07-31
Application of Nonlinear time series analysis to Near-infrared spectroscopy (NIRS) data
Tomoki ARIYOSHI, Ryota KOBAYASHI, Katsunori KITANO,
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Abstract(in English) There is a long-running controversy as to whether brain state variables exhibit chaotic behavior or not. Evidences from an analysis of electroencephalogram (EEG) data and computer simulation imply a chaotic behavior in the brain, however, more efforts are required to search stronger evidences and understand functional implications of the chaotic behavior in the brain. In this study, spontaneous human brain activity was investigated using Near infrared spectroscopy (NIRS), which is a non-invasive brain imaging technique. The correlation dimension and the maximal Lyapunov exponents were estimated from the NIRS time series. The results suggest that high-dimensional chaos may be embedded in some brain region.
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Keyword(in English) Near infrared spectroscopy (NIRS) / Resting state / Chaos / Nonlinear time series analysis
Paper # NC2012-31
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Committee NC
Conference Date 2012/7/23(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Application of Nonlinear time series analysis to Near-infrared spectroscopy (NIRS) data
Sub Title (in English)
Keyword(1) Near infrared spectroscopy (NIRS)
Keyword(2) Resting state
Keyword(3) Chaos
Keyword(4) Nonlinear time series analysis
1st Author's Name Tomoki ARIYOSHI
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Ryota KOBAYASHI
2nd Author's Affiliation Department of Human and Computer Intelligence, Ritsumeikan University
3rd Author's Name Katsunori KITANO
3rd Author's Affiliation Department of Human and Computer Intelligence, Ritsumeikan University
Date 2012-07-31
Paper # NC2012-31
Volume (vol) vol.112
Number (no) 168
Page pp.pp.-
#Pages 4
Date of Issue