Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.neulet.2011.09.011
Title: Recognition of stimulus-evoked neuronal optical response by identifying chaos levels of near-infrared spectroscopy time series
Authors: Hu, X.-S.
Hong, K.-S.
Ge, S.S. 
Keywords: Brain signal
Chaotic characteristics
Near-infrared spectroscopy (NIRS)
Neuronal optical response
Issue Date: 24-Oct-2011
Citation: Hu, X.-S., Hong, K.-S., Ge, S.S. (2011-10-24). Recognition of stimulus-evoked neuronal optical response by identifying chaos levels of near-infrared spectroscopy time series. Neuroscience Letters 504 (2) : 115-120. ScholarBank@NUS Repository. https://doi.org/10.1016/j.neulet.2011.09.011
Abstract: Near-infrared spectroscopy (NIRS) can detect two different kinds of signals from the human brain: the hemodynamic response (slow) and the neuronal response (fast). This paper explores a nonlinear aspect in the tactile-stimulus-evoked neuronal optical response over a NIRS time series (light intensity variation). The existence of the fast optical responses (FORs) over the time series recorded in stimulus sessions is confirmed by event-related averaging. The chaos levels of the NIRS time series recorded both in stimulus and in rest sessions are then identified according to the estimated largest Lyapunov exponent. The obtained results ascertain that stimulus-evoked neuronal optical responses can be detected in the somatosensory cortex using continuous-wave NIRS equipment. Further, the results strongly suggest that the chaos level can be used to recognize the FORs in NIRS time series and, thereby, the state of the pertinent brain activity. © 2011 Elsevier Ireland Ltd.
Source Title: Neuroscience Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/57209
ISSN: 03043940
DOI: 10.1016/j.neulet.2011.09.011
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