Functional connectivity change of the rat brain in response to sensory stimuli using functional near-infrared brain imaging

Sung Woo Kim; Seung Ho Paik; Kang Il Song; Se Jung Yang; Inchan Youn; Beop Min Kim; Joon Kyung Seong

doi:10.1007/s13534-014-0166-7

Functional connectivity change of the rat brain in response to sensory stimuli using functional near-infrared brain imaging

Sung Woo Kim, Seung Ho Paik, Kang Il Song, Se Jung Yang, Inchan Youn, Beop Min Kim, Joon Kyung Seong

School of Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Purpose: Because the brain can divide into many separate regions structurally and these regions don’t exist independently in terms of their function, there are some tendencies between these regions.

Results: Concentration changes in oxyhemoglobin and deoxyhemoglobin was calculated using reconstructed absorption coefficients at each nodes in finiteelement mesh. Then these time-series node data were mapped on our rat brain MR image. In addition, we analyzed coactivation by calculating correlation coefficients between time-series node data and standard response pattern of two parameters.

Conclusions: We ascertained that some brain regions were coactivated under sensory stimulation.

Methods: This functional connectivity has been analyzed using functional magnetic resonance imaging (fMRI), but in recent, diffuse optical tomography (DOT) has started to analyze these connectivity. In our experiment, we measured the coactivation in brain regions in response to sensory stimulation using CW-DOT.

Original language	English
Pages (from-to)	370-377
Number of pages	8
Journal	Biomedical Engineering Letters
Volume	4
Issue number	4
DOIs	https://doi.org/10.1007/s13534-014-0166-7
Publication status	Published - 2014 Dec

Keywords

Diffuse optical tomography
Functional brain connectivity
Hemodynamic response
Mouse

ASJC Scopus subject areas

Biomedical Engineering

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10.1007/s13534-014-0166-7

Cite this

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title = "Functional connectivity change of the rat brain in response to sensory stimuli using functional near-infrared brain imaging",

abstract = "Purpose: Because the brain can divide into many separate regions structurally and these regions don{\textquoteright}t exist independently in terms of their function, there are some tendencies between these regions.Results: Concentration changes in oxyhemoglobin and deoxyhemoglobin was calculated using reconstructed absorption coefficients at each nodes in finiteelement mesh. Then these time-series node data were mapped on our rat brain MR image. In addition, we analyzed coactivation by calculating correlation coefficients between time-series node data and standard response pattern of two parameters.Conclusions: We ascertained that some brain regions were coactivated under sensory stimulation.Methods: This functional connectivity has been analyzed using functional magnetic resonance imaging (fMRI), but in recent, diffuse optical tomography (DOT) has started to analyze these connectivity. In our experiment, we measured the coactivation in brain regions in response to sensory stimulation using CW-DOT.",

keywords = "Diffuse optical tomography, Functional brain connectivity, Hemodynamic response, Mouse",

author = "Kim, {Sung Woo} and Paik, {Seung Ho} and Song, {Kang Il} and Yang, {Se Jung} and Inchan Youn and Kim, {Beop Min} and Seong, {Joon Kyung}",

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year = "2014",

month = dec,

doi = "10.1007/s13534-014-0166-7",

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T1 - Functional connectivity change of the rat brain in response to sensory stimuli using functional near-infrared brain imaging

AU - Kim, Sung Woo

AU - Paik, Seung Ho

AU - Song, Kang Il

AU - Yang, Se Jung

AU - Youn, Inchan

AU - Kim, Beop Min

AU - Seong, Joon Kyung

PY - 2014/12

Y1 - 2014/12

N2 - Purpose: Because the brain can divide into many separate regions structurally and these regions don’t exist independently in terms of their function, there are some tendencies between these regions.Results: Concentration changes in oxyhemoglobin and deoxyhemoglobin was calculated using reconstructed absorption coefficients at each nodes in finiteelement mesh. Then these time-series node data were mapped on our rat brain MR image. In addition, we analyzed coactivation by calculating correlation coefficients between time-series node data and standard response pattern of two parameters.Conclusions: We ascertained that some brain regions were coactivated under sensory stimulation.Methods: This functional connectivity has been analyzed using functional magnetic resonance imaging (fMRI), but in recent, diffuse optical tomography (DOT) has started to analyze these connectivity. In our experiment, we measured the coactivation in brain regions in response to sensory stimulation using CW-DOT.

AB - Purpose: Because the brain can divide into many separate regions structurally and these regions don’t exist independently in terms of their function, there are some tendencies between these regions.Results: Concentration changes in oxyhemoglobin and deoxyhemoglobin was calculated using reconstructed absorption coefficients at each nodes in finiteelement mesh. Then these time-series node data were mapped on our rat brain MR image. In addition, we analyzed coactivation by calculating correlation coefficients between time-series node data and standard response pattern of two parameters.Conclusions: We ascertained that some brain regions were coactivated under sensory stimulation.Methods: This functional connectivity has been analyzed using functional magnetic resonance imaging (fMRI), but in recent, diffuse optical tomography (DOT) has started to analyze these connectivity. In our experiment, we measured the coactivation in brain regions in response to sensory stimulation using CW-DOT.

KW - Diffuse optical tomography

KW - Functional brain connectivity

KW - Hemodynamic response

KW - Mouse

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Functional connectivity change of the rat brain in response to sensory stimuli using functional near-infrared brain imaging

Abstract

Keywords

ASJC Scopus subject areas

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