9 February 2012 Analysis of independent components obtained from functional near infrared data
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We analyze statistically independent temporal components in the broadband spectrum of near-infrared data acquired on the human head during breath holding. Breath holding is used to cause strong cerebral hemodynamic changes. The signals from 698 wavelengths of 25-mm long channel and 1289 wavelengths from the 10-mm channel were analyzed using an independent component analysis algorithm. We show that in spite of a very large number of channels only two components with their characteristic optical spectra remain stable across multi-subject analysis. We demonstrate a comparison of fNIRS independent components with simultaneously acquired functional MRI data.
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Irina Schelkanova, Irina Schelkanova, Vladislav Toronov, Vladislav Toronov, "Analysis of independent components obtained from functional near infrared data", Proc. SPIE 8222, Dynamics and Fluctuations in Biomedical Photonics IX, 82220V (9 February 2012); doi: 10.1117/12.908524; https://doi.org/10.1117/12.908524

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