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2017 Fiscal Year Final Research Report

A proposal of novel index contributing to brain science and an establishment of evaluation method of brain function

Research Project

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Project/Area Number 15K06120
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Measurement engineering
Research InstitutionTokai University

Principal Investigator

Kutita Daisaku  東海大学, 情報教育センター, 准教授 (10547970)

Co-Investigator(Renkei-kenkyūsha) HAIDA Munetaka  東海大学医療技術短期大学, 看護学部, 教授 (20208408)
TAKIZAWA Shunya  東海大学, 医学部, 教授 (70197234)
Research Collaborator 高張 洋子  東海大学, 伊勢原研究推進部・生命科学統合支援センター, 技術員
岩尾 佳代子  東海大学, 伊勢原研究推進部・生命科学統合支援センター, 技術員
Project Period (FY) 2015-04-01 – 2018-03-31
KeywordsNIRS信号 / 拍動成分 / 見かけの動脈血酸素飽和度 / ヒゲ刺激 / バレル領域 / バンドパスフィルター / 頭皮血流 / 独立成分分析
Outline of Final Research Achievements

This study defined the apparent arterial oxygen saturation (App-SpO2) from the pulse wave rate of the NIRS signals as a novel index. The NIRS signals of the brain activation were measured at optode separation distance (S-D), 2.5-10 mm, in the scalp removed rat model, and App-SpO2 were evaluated whether they provided valid information as to arterial oxygen saturation in the brain. In the scalp intact rat model where is influence from skin blood flow, independent component analysis (ICA) was used to find out the brain activation signal from obtained the NIRS signals. In the scalp removed rat model, App-SpO2 value before activation was about 60-70% at S-D separation, 5.0-7.5 mm. During activation, the value increased about 3% compared to the rest. In addition, when ICA removed the effects of scalp blood flow, the App-SpO2 value during activation increased about 2% compared to the rest. These results indicate that App-SpO2 can be a novel index for the evaluation method of brain function.

Free Research Field

機能的近赤外分光法

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Published: 2019-03-29  

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