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Quantitative evaluation of functional Near Infrared Spectroscopy measurements with different source-detector separations using Monte Carlo simulation
Abstract   Open access

Quantitative evaluation of functional Near Infrared Spectroscopy measurements with different source-detector separations using Monte Carlo simulation

Lei Wang, Meltem Izzetoglu and Hasan Ayaz
Frontiers in human neuroscience, v 12
2018
url
https://doi.org/10.3389/conf.fnhum.2018.227.00139View
Published, Version of Record (VoR) Open CC BY V4.0

Abstract

Functional Near Infrared Spectroscopy (fNIRS) is an emerging neuroimaging technique that utilizes near infrared light to detect cortical concentration changes of oxy-hemoglobin and deoxy-hemoglobin non-invasively (Strangman, Boas, & Sutton, 2002; Villringer & Chance, 1997). Infrared light propagates through the tissue and eventually part of it is back-scattered to the surface and collected by detector. The detected attenuated light encodes information about brain activity as a consequence of absorption and scattering dominated light tissue interaction.

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