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Spatio-temporal analysis of stimuli-modulated spontaneous low frequency oscillations
引用本文:LI Ming LIU YaDong HU DeWen WANG YuCheng LIU FaYi FENG GuiYu. Spatio-temporal analysis of stimuli-modulated spontaneous low frequency oscillations[J]. 科学通报(英文版), 2007, 52(11): 1475-1483. DOI: 10.1007/s11434-007-0219-8
作者姓名:LI Ming LIU YaDong HU DeWen WANG YuCheng LIU FaYi FENG GuiYu
作者单位:[1]College of Mechatronics and Automation, National University of Defense Technology, Changsha 410073, China [2]Department of Neurophysiology, Xiangya Medical College, Central South University, Changsha 410078, China
基金项目:Supported by the National Basic Research Program of China (Grant No. 2003CB716104), the National Natural Science Foundation of China (Grant Nos. 30370416, 60575044 and 60675005), the National Distinguished Young Scholars Fund of China (Grant No. 60225015) and the Teaching and Research Award Program for 0utstanding Young Teachers
摘    要:In this paper, the spatio-temporal architecture of the stimulation-modulated spontaneous low frequency oscillation (LFO) in the SD rat's somatosensory cortex is studied by optical imaging (OI) technology. After the electrical stimulation, it is observed that the phases of the LFO signals are changed, the amplitudes are increased, and most importantly, the signals in the bilateral somatosensory cortex tend to be synchronized. Based on these phenomena, the origin of the LFO signals is discussed. It is argued that the arteriole vasomoUon may be the major contribution to the LFO signals under green illumination (546±10 nm). The phase relationship among the LFO signals of arteries, veins and cortex has also been studied. It is found that there are phase differences between the LFO signal of veins and that of cortex under red illumination (605±10 nm), the signal of cortex leads that of veins by 0.6-1.0 s, while under green illumination, no obvious differences are observed and the reason may be that the mechanism of the LFO signals of cortexes and vessels are different.

关 键 词:影象  激励调整  低频振动  时空分析
收稿时间:2007-01-10
修稿时间:2007-01-102007-03-17

Spatio-temporal analysis of stimuli-modulated spontaneous low frequency oscillations
Li Ming,Liu YaDong,Hu DeWen,Wang YuCheng,Liu FaYi,Feng GuiYu. Spatio-temporal analysis of stimuli-modulated spontaneous low frequency oscillations[J]. Chinese science bulletin, 2007, 52(11): 1475-1483. DOI: 10.1007/s11434-007-0219-8
Authors:Li Ming  Liu YaDong  Hu DeWen  Wang YuCheng  Liu FaYi  Feng GuiYu
Affiliation:(1) College of Mechatronics and Automation, National University of Defense Technology, Changsha, 410073, China;(2) Department of Neurophysiology, Xiangya Medical College, Central South University, Changsha, 410078, China
Abstract:In this paper, the spatio-temporal architecture of the stimulation-modulated spontaneous low frequency oscillation (LFO) in the SD rat’s somatosensory cortex is studied by optical imaging (OI) technology. After the electrical stimulation, it is observed that the phases of the LFO signals are changed, the amplitudes are increased, and most importantly, the signals in the bilateral somatosensory cortex tend to be synchronized. Based on these phenomena, the origin of the LFO signals is discussed. It is argued that the arteriole vasomotion may be the major contribution to the LFO signals under green illumination (546±10 nm). The phase relationship among the LFO signals of arteries, veins and cortex has also been studied. It is found that there are phase differences between the LFO signal of veins and that of cortex under red illumination (605±10 nm), the signal of cortex leads that of veins by 0.6–1.0 s, while under green illumination, no obvious differences are observed and the reason may be that the mechanism of the LFO signals of cortexes and vessels are different. Supported by the National Basic Research Program of China (Grant No. 2003CB716104), the National Natural Science Foundation of China (Grant Nos. 30370416, 60575044 and 60675005), the National Distinguished Young Scholars Fund of China (Grant No. 60225015) and the Teaching and Research Award Program for Outstanding Young Teachers
Keywords:optical imaging  spontaneous low frequency oscillation  vasomotion  spectrum analysis
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