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Journal of Biomedical Optics • Open Access

Transient increase in systemic interferences in the superficial layer and its influence on event-related motor tasks: a functional near-infrared spectroscopy study
Author(s): Isao Nambu; Takuya Ozawa; Takanori Sato; Takatsugu Aihara; Yusuke Fujiwara; Yohei Otaka; Rieko Osu; Jun Izawa; Yasuhiro Wada

Paper Abstract

Functional near-infrared spectroscopy (fNIRS) is a widely utilized neuroimaging tool in fundamental neuroscience research and clinical investigation. Previous research has revealed that task-evoked systemic artifacts mainly originating from the superficial-tissue may preclude the identification of cerebral activation during a given task. We examined the influence of such artifacts on event-related brain activity during a brisk squeezing movement. We estimated task-evoked superficial-tissue hemodynamics from short source–detector distance channels (15 mm) by applying principal component analysis. The estimated superficial-tissue hemodynamics exhibited temporal profiles similar to the canonical cerebral hemodynamic model. Importantly, this task-evoked profile was also observed in data from a block design motor experiment, suggesting a transient increase in superficial-tissue hemodynamics occurs following motor behavior, irrespective of task design. We also confirmed that estimation of event-related cerebral hemodynamics was improved by a simple superficial-tissue hemodynamic artifact removal process using 15-mm short distance channels, compared to the results when no artifact removal was applied. Thus, our results elucidate task design-independent characteristics of superficial-tissue hemodynamics and highlight the need for the application of superficial-tissue hemodynamic artifact removal methods when analyzing fNIRS data obtained during event-related motor tasks.

Paper Details

Date Published: 15 March 2017
PDF: 11 pages
J. Biomed. Opt. 22(3) 035008 doi: 10.1117/1.JBO.22.3.035008
Published in: Journal of Biomedical Optics Volume 22, Issue 3
Show Author Affiliations
Isao Nambu, Nagaoka Univ. of Technology (Japan)
Takuya Ozawa, Nagaoka Univ. of Technology (Japan)
ATR Brain Information Communication Research Lab Group (Japan)
Takanori Sato, Nagaoka Univ. of Technology (Japan)
Takatsugu Aihara, Advanced Telecommunications Research Institute International (Japan)
Yusuke Fujiwara, Advanced Telecommunications Research Institute International (Japan)
Yohei Otaka, Advanced Telecommunications Research Institute International (Japan)
Tokyo Bay Rehabilitation Hospital (Japan)
Keio Univ. School of Medicine (Japan)
Rieko Osu, Advanced Telecommunications Research Institute International (Japan)
Jun Izawa, Advanced Telecommunications Research Institute International (Japan)
Univ. of Tsukuba (Japan)
Yasuhiro Wada, Nagaoka Univ. of Technology (Japan)

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