功能近红外光谱
计算机科学
统计参数映射
软件
参数统计
漫反射光学成像
信号处理
信号(编程语言)
统计推断
人工智能
神经功能成像
神经影像学
工具箱
模式识别(心理学)
数字信号处理
迭代重建
数学
程序设计语言
认知
放射科
神经科学
前额叶皮质
磁共振成像
计算机硬件
精神科
统计
生物
医学
心理学
作者
Peck H. Koh,Daniel E. Glaser,Guillaume Flandin,Stefan J. Kiebel,Brian Butterworth,Atsushi Maki,David T. Delpy,Clare E. Elwell
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 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.
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