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8 March 2013 Hyperspectral functional imaging of the human brain
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We performed the independent component analysis of the hyperspectral functional near-infrared data acquired on humans during exercise and rest. We found that the hyperspectral functional data acquired on the human brain requires only two physiologically meaningful components to cover more than 50% o the temporal variance in hundreds of wavelengths. The analysis of the spectra of independent components showed that these components could be interpreted as results of changes in the cerebral blood volume and blood flow. Also, we found significant contributions of water and cytochrome c oxydase into changes associated with the independent components. Another remarkable effect of ICA was its good performance in terms of the filtering of the data noise.
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Vladislav Toronov and Irina Schelkanova "Hyperspectral functional imaging of the human brain", Proc. SPIE 8565, Photonic Therapeutics and Diagnostics IX, 85654K (8 March 2013);

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