Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes

Takanori Sato, Isao Nambu, Kotaro Takeda, Takatsugu Aihara, Okito Yamashita, Yuko Isogaya, Yoshihiro Inoue, Yohei Otaka, Yasuhiro Wada, Mitsuo Kawato, Masa aki Sato, Rieko Osu

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

Functional near-infrared spectroscopy (fNIRS) is used to measure cerebral activity because it is simple and portable. However, scalp-hemodynamics often contaminates fNIRS signals, leading to detection of cortical activity in regions that are actually inactive. Methods for removing these artifacts using standard source–detector distance channels (Long-channel) tend to over-estimate the artifacts, while methods using additional short source–detector distance channels (Short-channel) require numerous probes to cover broad cortical areas, which leads to a high cost and prolonged experimental time. Here, we propose a new method that effectively combines the existing techniques, preserving the accuracy of estimating cerebral activity and avoiding the disadvantages inherent when applying the techniques individually. Our new method accomplishes this by estimating a global scalp-hemodynamic component from a small number of Short-channels, and removing its influence from the Long-channels using a general linear model (GLM). To demonstrate the feasibility of this method, we collected fNIRS and functional magnetic resonance imaging (fMRI) measurements during a motor task. First, we measured changes in oxygenated hemoglobin concentration (∆ Oxy-Hb) from 18 Short-channels placed over motor-related areas, and confirmed that the majority of scalp-hemodynamics was globally consistent and could be estimated from as few as four Short-channels using principal component analysis. We then measured ∆ Oxy-Hb from 4 Short- and 43 Long-channels. The GLM identified cerebral activity comparable to that measured separately by fMRI, even when scalp-hemodynamics exhibited substantial task-related modulation. These results suggest that combining measurements from four Short-channels with a GLM provides robust estimation of cerebral activity at a low cost.

Original languageEnglish
Pages (from-to)120-132
Number of pages13
JournalNeuroImage
Volume141
DOIs
Publication statusPublished - 01-11-2016

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Near-Infrared Spectroscopy
Scalp
Hemodynamics
Linear Models
Artifacts
Hemoglobins
Magnetic Resonance Imaging
Costs and Cost Analysis
Motor Cortex
Principal Component Analysis

All Science Journal Classification (ASJC) codes

  • Neurology
  • Cognitive Neuroscience

Cite this

Sato, Takanori ; Nambu, Isao ; Takeda, Kotaro ; Aihara, Takatsugu ; Yamashita, Okito ; Isogaya, Yuko ; Inoue, Yoshihiro ; Otaka, Yohei ; Wada, Yasuhiro ; Kawato, Mitsuo ; Sato, Masa aki ; Osu, Rieko. / Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes. In: NeuroImage. 2016 ; Vol. 141. pp. 120-132.
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abstract = "Functional near-infrared spectroscopy (fNIRS) is used to measure cerebral activity because it is simple and portable. However, scalp-hemodynamics often contaminates fNIRS signals, leading to detection of cortical activity in regions that are actually inactive. Methods for removing these artifacts using standard source–detector distance channels (Long-channel) tend to over-estimate the artifacts, while methods using additional short source–detector distance channels (Short-channel) require numerous probes to cover broad cortical areas, which leads to a high cost and prolonged experimental time. Here, we propose a new method that effectively combines the existing techniques, preserving the accuracy of estimating cerebral activity and avoiding the disadvantages inherent when applying the techniques individually. Our new method accomplishes this by estimating a global scalp-hemodynamic component from a small number of Short-channels, and removing its influence from the Long-channels using a general linear model (GLM). To demonstrate the feasibility of this method, we collected fNIRS and functional magnetic resonance imaging (fMRI) measurements during a motor task. First, we measured changes in oxygenated hemoglobin concentration (∆ Oxy-Hb) from 18 Short-channels placed over motor-related areas, and confirmed that the majority of scalp-hemodynamics was globally consistent and could be estimated from as few as four Short-channels using principal component analysis. We then measured ∆ Oxy-Hb from 4 Short- and 43 Long-channels. The GLM identified cerebral activity comparable to that measured separately by fMRI, even when scalp-hemodynamics exhibited substantial task-related modulation. These results suggest that combining measurements from four Short-channels with a GLM provides robust estimation of cerebral activity at a low cost.",
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Sato, T, Nambu, I, Takeda, K, Aihara, T, Yamashita, O, Isogaya, Y, Inoue, Y, Otaka, Y, Wada, Y, Kawato, M, Sato, MA & Osu, R 2016, 'Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes', NeuroImage, vol. 141, pp. 120-132. https://doi.org/10.1016/j.neuroimage.2016.06.054

Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes. / Sato, Takanori; Nambu, Isao; Takeda, Kotaro; Aihara, Takatsugu; Yamashita, Okito; Isogaya, Yuko; Inoue, Yoshihiro; Otaka, Yohei; Wada, Yasuhiro; Kawato, Mitsuo; Sato, Masa aki; Osu, Rieko.

In: NeuroImage, Vol. 141, 01.11.2016, p. 120-132.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes

AU - Sato, Takanori

AU - Nambu, Isao

AU - Takeda, Kotaro

AU - Aihara, Takatsugu

AU - Yamashita, Okito

AU - Isogaya, Yuko

AU - Inoue, Yoshihiro

AU - Otaka, Yohei

AU - Wada, Yasuhiro

AU - Kawato, Mitsuo

AU - Sato, Masa aki

AU - Osu, Rieko

PY - 2016/11/1

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N2 - Functional near-infrared spectroscopy (fNIRS) is used to measure cerebral activity because it is simple and portable. However, scalp-hemodynamics often contaminates fNIRS signals, leading to detection of cortical activity in regions that are actually inactive. Methods for removing these artifacts using standard source–detector distance channels (Long-channel) tend to over-estimate the artifacts, while methods using additional short source–detector distance channels (Short-channel) require numerous probes to cover broad cortical areas, which leads to a high cost and prolonged experimental time. Here, we propose a new method that effectively combines the existing techniques, preserving the accuracy of estimating cerebral activity and avoiding the disadvantages inherent when applying the techniques individually. Our new method accomplishes this by estimating a global scalp-hemodynamic component from a small number of Short-channels, and removing its influence from the Long-channels using a general linear model (GLM). To demonstrate the feasibility of this method, we collected fNIRS and functional magnetic resonance imaging (fMRI) measurements during a motor task. First, we measured changes in oxygenated hemoglobin concentration (∆ Oxy-Hb) from 18 Short-channels placed over motor-related areas, and confirmed that the majority of scalp-hemodynamics was globally consistent and could be estimated from as few as four Short-channels using principal component analysis. We then measured ∆ Oxy-Hb from 4 Short- and 43 Long-channels. The GLM identified cerebral activity comparable to that measured separately by fMRI, even when scalp-hemodynamics exhibited substantial task-related modulation. These results suggest that combining measurements from four Short-channels with a GLM provides robust estimation of cerebral activity at a low cost.

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