Functional optical signal analysis: a software tool for near-infrared spectroscopy data processing incorporating statistical parametric mapping

被引：72

作者：

Koh, Peck H. ^{[1
]}

Glaser, Daniel E. ^{[2
]}

Flandin, Guillaume ^{[3
]}

Kiebel, Stefan ^{[3
]}

Butterworth, Brian ^{[2
]}

Maki, Atsushi ^{[4
]}

Delpy, David T. ^{[1
]}

Elwell, Clare E. ^{[1
]}

机构：

[1] UCL, Dept Med Phys & Bioengn, Biomed Opt Res Lab, London WC1E 6BT, England

[2] UCL, Inst Cognit Neurosci, London WC1N 3AR, England

[3] UCL, Wellcome Dept Imaging Neurosci, Funct Imaging Lab, London WC1N 3AR, England

[4] Hitachi Ltd, Adv Res Lab, Hatoyama, Saitama 3500395, Japan

来源：

JOURNAL OF BIOMEDICAL OPTICS | 2007年 / 12卷 / 06期

基金：

英国医学研究理事会; 英国工程与自然科学研究理事会;

关键词：

biomedical optics; infrared spectroscopy; data processing;

D O I：

10.1117/1.2804092

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Optical topography (OT) relies on the near infrared spectroscopy (NIRS) technique to provide noninvasively a spatial map of functional brain activity. OT has advantages over conventional fMRI in terms of its simple approach to measuring the hemodynamic response, its ability to distinguish between changes in oxy- and deoxyhemoglobin and the range of human participants that can be readily investigated. We offer a new software tool, functional optical signal analysis (fOSA), for analyzing the spatially resolved optical signals that provides statistical inference capabilities about the distribution of brain activity in space and time and by experimental condition. It does this by mapping the signal into a standard functional neuro-imaging analysis software, statistical parametric mapping (SPM), and forms, in effect, a new SPM toolbox specifically designed for NIRS in an OT configuration. The validity of the program has been tested using synthetic data, and its applicability is demonstrated with experimental data. (C) 2007 Society of Photo-Optical Instrumentation Engineers.

引用

页数：13

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