1 November 2007 Functional optical signal analysis: a software tool for near-infrared spectroscopy data processing incorporating statistical parametric mapping
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J. of Biomedical Optics, 12(6), 064010 (2007). doi:10.1117/1.2804092
Abstract
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 deoxy-hemoglobin 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 neuroimaging 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.
Peck Hui Koh, Daniel Glaser, Guillaume Flandin, Stefan Kiebel, Brian Butterworth, Atsushi Maki, David T. Delpy, Clare E. Elwell, "Functional optical signal analysis: a software tool for near-infrared spectroscopy data processing incorporating statistical parametric mapping," Journal of Biomedical Optics 12(6), 064010 (1 November 2007). http://dx.doi.org/10.1117/1.2804092
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KEYWORDS
Scanning probe microscopy

Data modeling

Statistical analysis

Hemodynamics

Brain

Brain mapping

Biomedical optics

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