Open Access
1 July 2005 Intersubject variability of near-infrared spectroscopy signals during sensorimotor cortex activation
Hiroki Sato, Yutaka Fuchino, Masashi Kiguchi, Takusige Katura, Atsushi Maki, Takeshi Yoro, Hideaki Koizumi
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Abstract
We investigate the intersubject signal variability of near-infrared spectroscopy (NIRS), which is commonly used for noninvasive measurement of the product of the optical path length and the concentration change in oxygenated hemoglobin (ΔC′oxy) and deoxygenated hemoglobin (ΔC′deoxy) and their sum (ΔC′total) related to human cortical activation. We do this by measuring sensorimotor cortex activation in 31 healthy adults using 24-measurement-position near-infrared (NIR) topography. A finger-tapping task is used to activate the sensorimotor cortex, and significant changes in the hemisphere contralateral to the tapping hand are assessed as being due to the activation. Of the possible patterns of signal changes, 90% include a positive ΔC′oxy, 76% included a negative ΔC′deoxy, and 73% included a positive ΔC′total. The ΔC′deoxy and ΔC′total are less consistent because of a large intersubject variability in ΔC′deoxy; in some cases there is a positive ΔC′deoxy. In the cases with no positive ΔC′oxy in the contralateral hemisphere, there are cases of other possible changes for either or both hemispheres and no cases of no change in any hemoglobin species in either hemisphere. These results suggest that NIR topography is useful for observing brain activity in most cases, although intersubject signal variability still needs to be resolved.
©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)
Hiroki Sato, Yutaka Fuchino, Masashi Kiguchi, Takusige Katura, Atsushi Maki, Takeshi Yoro, and Hideaki Koizumi "Intersubject variability of near-infrared spectroscopy signals during sensorimotor cortex activation," Journal of Biomedical Optics 10(4), 044001 (1 July 2005). https://doi.org/10.1117/1.1960907
Published: 1 July 2005
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Cited by 107 scholarly publications.
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KEYWORDS
Near infrared spectroscopy

Sensorimotor cortex

Functional magnetic resonance imaging

Sensors

Statistical analysis

Analytical research

Blood

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