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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Near infrared spectroscopy (NIRS) / Resting state / Chaos / Nonlinear time series analysis |
Paper # | NC2012-31 |
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Committee | NC |
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Conference Date | 2012/7/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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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 |
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