Abstract
The aim of this study was to clarify effects of skin (scalp) blood flow on functional near infrared spectroscopy (fNIRS) during a verbal fluency task. In the present study, to estimate the influence of skin blood flow on fNIRS signals, we conducted examinations on 19 healthy volunteers (39.9 ± 13.1 years, 11 male and 8 female subjects). We simultaneously measured the fNIRS signals, skin blood flow (i.e., flow, velocity, and number of red blood cells [RBC]), and pulse wave rates using a multimodal fNIRS system. We found that the effects of skin blood flow, measured by the degree of interference of the flow, velocity, and number of RBCs, and pulse wave rates, on NIRS signals varied considerably across subjects. Further, by using the above physiological parameters, we evaluated application of the independent component analysis algorithm proposed by Molgedey and Schuster (MS-ICA) to remove skin blood flow artefacts from fNIRS signals.
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Suto T, Fukuda M, Ito M et al (2004) Multichannel near-infrared spectroscopy in depression and schizophrenia: cognitive brain activation study. Biol Psychiatry 55:501–511
Kameyama M, Fukuda M, Yamagishi Y et al (2006) Frontal lobe function in bipolar disorder: a multichannel near-infrared spectroscopy study. Neuroimage 29:172–184
Takizawa R, Kasai K, Kawakubo Y et al (2008) Reduced frontopolar activation during verbal fluency task in schizophrenia: a multi-channel near-infrared spectroscopy study. Schizophr Res 99:250–262
Kinou M, Takizawa R, Marumo K et al (2013) Differential spatiotemporal characteristics of the prefrontal hemodynamic response and their association with functional impairment in schizophrenia and major depression. Schizophr Res 150(2–3):459–467
Takizawa R, Fukuda M, Kawasaki S et al (2014) Neuroimaging-aided differential diagnosis of the depressive state. Neuroimage 85(Pt 1):498–507
Takahashi T, Takikawa Y, Kawagoe R et al (2011) Influence of skin blood flow on near-infrared spectroscopy signals measured on the forehead during a verbal fluency task. Neuroimage 57:991–1002
Kirilina E, Jelzow A, Heine A et al (2012) The physiological origin of task-evoked systemic artifacts in functional near infrared spectroscopy. Neuroimage 61:70–81
Kohno S, Miyai I, Seiyama A et al (2007) Removal of the skin blood flow artifact in functional near-infrared spectroscopic imaging data through independent component analysis. J Biomed Opt 12(6):062111
Katura T, Sato H, Fuchino Y et al (2008) Extracting task-related activation components from optical topography measurement using independent components analysis. J Biomed Opt 13:054008
Markham J, White BR, Zeff BW et al (2009) Blind identification of evoked human brain activity with independent component analysis of optical data. Hum Brain Mapp 30:2382–2392
Patel S, Katura T, Maki A et al (2011) Quantification of systemic interference in optical topography data during frontal lobe and motor cortex activation: an independent component analysis. Adv Exp Med Biol 915:45–51
Funane T, Atsumori H, Katura T et al (2014) Quantitative evaluation of deep and shallow tissue layers’ contribution to fNIRS signal using multi-distance optodes and independent component analysis. Neuroimage 85:150–165
Seiyama A, Sasaki Y, Takatsuki A et al (2012) Effects of the autonomic nervous system on functional neuroimaging: analyses based on the vector autoregressive model. Adv Exp Med Biol 737:77–82
Molgedey L, Schuster HG (1994) Separation of a mixture of independent signals using time delayed correlations. Phys Rev Lett 72:3634–3637
Shimodera S, Imai Y, Kamimura N et al (2012) Mapping hypofrontality during letter fluency task in schizophrenia: a multi-channel near-infrared spectroscopy study. Schizophr Res 136:63–69
Kashima S, Ono Y, Sohda A et al (1994) Separate measurement of two components of blood flow velocity in tissue by dynamic light scattering method. Jpn J Appl Phys 33:2123–2127
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This study was supported in part by grants-in-aid from the Ministry of Education, Science and Culture of Japan.
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Seiyama, A., Higaki, K., Takeuchi, N., Uehara, M., Takayama, N. (2016). Estimation of Skin Blood Flow Artefacts in NIRS Signals During a Verbal Fluency Task. In: Elwell, C.E., Leung, T.S., Harrison, D.K. (eds) Oxygen Transport to Tissue XXXVII. Advances in Experimental Medicine and Biology, vol 876. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-3023-4_41
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DOI: https://doi.org/10.1007/978-1-4939-3023-4_41
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