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Proceedings Paper

Analysis of independent components obtained from functional near infrared data
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Paper Abstract

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.

Paper Details

Date Published: 9 February 2012
PDF: 11 pages
Proc. SPIE 8222, Dynamics and Fluctuations in Biomedical Photonics IX, 82220V (9 February 2012); doi: 10.1117/12.908524
Show Author Affiliations
Irina Schelkanova, Ryerson Univ. (Canada)
Vladislav Toronov, Ryerson Univ. (Canada)

Published in SPIE Proceedings Vol. 8222:
Dynamics and Fluctuations in Biomedical Photonics IX
Valery V. Tuchin; Donald D. Duncan; Kirill V. Larin; Martin J. Leahy; Ruikang K. Wang, Editor(s)

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