ICA analysis of optical topography signals for elucidating physiological source
Optical topography(OT)signals are a mixture of neuronal activation-induced hemodynamic changes and systemic blood-circulation changes.For a distinct discussion on an obtained result,it is important to treat these phenomena separately.In this study,we used independent component analysis (ICA)to separate signals related to cerebral hemodynamic changes and systemic blood-circulation changes.The analysis procedure had three stages:first,OT signals were separated into independent components(ICs); second,task-related ICs(TR-ICs)were selected from the separated ICs;and third,the TR-ICs were categorized by k-means clustering into TR activation-related ICs(TR-AICs)and TR noise ICs(TR-NICs).We applied this analysis procedure to the OT signals obtained from experiments using one-handed finger tapping tasks.In the averaged waveform of the TR-AICs,a small overshoot can be seen for a few seconds after the onset of each task and a few seconds after it ends,and the averaged waveforms of the TR-N1Cs have an N-shaped pattern.
Takusige Katura Hiroki Sato Hirokazu Atsumori Atsushi Maki Naoki Tanaka Hideaki Koizumi
Hitachi,Ltd.Advanced Research Laboratory
国际会议
2008亚太心智、脑和教育学术会议(Asia-Pacific Conference on Mind Brain and Education 2008)
南京
英文
330-333
2008-10-25（万方平台首次上网日期，不代表论文的发表时间）