Imperial College near infrared spectroscopy neuroimaging analysis framework

Felipe Orihuela-Espina; Daniel R. Leff; David R. C. James; Ara W. Darzi; Guang-Zhong Yang

doi:10.1117/1.NPh.5.1.011011

19 September 2017 Imperial College near infrared spectroscopy neuroimaging analysis framework

Felipe Orihuela-Espina, Daniel R. Leff, David R. C. James, Ara W. Darzi, Guang-Zhong Yang

Author Affiliations +

Funded by: Consejo Nacional de Ciencia y Tecnología (CONACyT)

Neurophotonics, Vol. 5, Issue 1, 011011 (September 2017). https://doi.org/10.1117/1.NPh.5.1.011011

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.

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Felipe Orihuela-Espina, Daniel R. Leff, David R. C. James, Ara W. Darzi, and 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

Received: 1 April 2017; Accepted: 23 August 2017; Published: 19 September 2017

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