19 September 2017 Imperial College near infrared spectroscopy neuroimaging analysis framework
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Abstract
This paper describes the Imperial College near infrared spectroscopy neuroimaging analysis (ICNNA) software tool for functional near infrared spectroscopy neuroimaging data. ICNNA is a MATLAB-based object-oriented framework encompassing an application programming interface and a graphical user interface. ICNNA incorporates reconstruction based on the modified Beer–Lambert law and basic processing and data validation capabilities. Emphasis is placed on the full experiment rather than individual neuroimages as the central element of analysis. The software offers three types of analyses including classical statistical methods based on comparison of changes in relative concentrations of hemoglobin between the task and baseline periods, graph theory-based metrics of connectivity and, distinctively, an analysis approach based on manifold embedding. This paper presents the different capabilities of ICNNA in its current version.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Felipe Orihuela-Espina, Daniel R. Leff, David R. C. James, Ara W. Darzi, Guang-Zhong Yang, "Imperial College near infrared spectroscopy neuroimaging analysis framework," Neurophotonics 5(1), 011011 (19 September 2017). https://doi.org/10.1117/1.NPh.5.1.011011 . Submission: Received: 1 April 2017; Accepted: 23 August 2017
Received: 1 April 2017; Accepted: 23 August 2017; Published: 19 September 2017
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