Paper
9 February 2012 Analysis of independent components obtained from functional near infrared data
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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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Irina Schelkanova and 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); https://doi.org/10.1117/12.908524
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Cited by 1 scholarly publication.
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KEYWORDS
Independent component analysis

Functional magnetic resonance imaging

Near infrared spectroscopy

Hemodynamics

Smoothing

Absorbance

Data acquisition

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