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Special Section on Pioneers in Biomedical Optics: F.F. Jöbsis

Removal of the skin blood flow artifact in functional near-infrared spectroscopic imaging data through independent component analysis

[+] Author Affiliations
Satoru Kohno

Shimadzu Corporation, Medical Systems Division, Research and Development Department, Kyoto 604-8511, Japan and Kyoto University Graduate School of Medicine, Human Brain Research Center, Kyoto 606-8507, Japan

Ichiro Miyai

Morinomiya Hospital, Neurorehabilitation Research Institute, Osaka 536-0025, Japan

Akitoshi Seiyama

Osaka University Graduate School of Medicine, Division of Physiology and Biosignaling, Osaka 565-0871, Japan

Ichiro Oda

Shimadzu Corporation, Technology Research Laboratory, Kyoto 619-0237, Japan

Akihiro Ishikawa, Shoichi Tsuneishi, Takashi Amita, Koji Shimizu

Shimadzu Corporation, Medical Systems Division, Research and Development Department, Kyoto 604-8511, Japan

J. Biomed. Opt. 12(6), 062111 (December 11, 2007). doi:10.1117/1.2814249
History: Received October 27, 2006; Revised July 27, 2007; Accepted July 30, 2007; Published December 11, 2007
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We investigate whether the functional near-infrared spectroscopic (fNIRS) signal includes a signal from the changing skin blood flow. During a locomotor task on a treadmill, changes in the hemodynamic response in the front-parietal area of healthy human subjects are simultaneously recorded using an fNIRS imaging system and a laser Doppler tissue blood flow meter. Independent component analysis (ICA) for fNIRS signals is performed. The skin blood flow changes during locomotor tasks on a treadmill. The activated spatial distribution of one of the components separated by ICA reveals an overall increase in fNIRS channels. To evaluate the uniformity of the activated spatial distribution, we define a new statistical value—the coefficient of spatial uniformity (CSU). The CSU value is a highly discriminating value (e.g., 2.82) compared with values of other components (e.g., 1.41, 1.10, 0.96, 0.61, and 0.58). In addition, the independent component signal corresponding to the activated spatial distribution is similar to changes in skin blood flow measured with the laser Doppler tissue blood flow meter. The coefficient of correlation indicates strong correlation. Localized activation areas around the premotor and medial somatosensory cortices are shown more clearly by eliminating the extracted component.

© 2007 Society of Photo-Optical Instrumentation Engineers

Citation

Satoru Kohno ; Ichiro Miyai ; Akitoshi Seiyama ; Ichiro Oda ; Akihiro Ishikawa, et al.
"Removal of the skin blood flow artifact in functional near-infrared spectroscopic imaging data through independent component analysis", J. Biomed. Opt. 12(6), 062111 (December 11, 2007). ; http://dx.doi.org/10.1117/1.2814249


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