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本文引用的文献

1
Reduction of Delay in Detecting Initial Dips from Functional Near-Infrared Spectroscopy Signals Using Vector-Based Phase Analysis.基于向量的相位分析减少功能近红外光谱信号初始下倾的检测延迟。
Int J Neural Syst. 2016 May;26(3):1650012. doi: 10.1142/S012906571650012X. Epub 2016 Jan 14.
2
Decoding four different sound-categories in the auditory cortex using functional near-infrared spectroscopy.使用功能近红外光谱技术在听觉皮层中解码四种不同的声音类别。
Hear Res. 2016 Mar;333:157-166. doi: 10.1016/j.heares.2016.01.009. Epub 2016 Jan 29.
3
Comparison of motion correction techniques applied to functional near-infrared spectroscopy data from children.应用于儿童功能性近红外光谱数据的运动校正技术比较。
J Biomed Opt. 2015;20(12):126003. doi: 10.1117/1.JBO.20.12.126003.
4
Passive BCI based on drowsiness detection: an fNIRS study.基于困倦检测的被动脑机接口:一项功能近红外光谱研究。
Biomed Opt Express. 2015 Sep 22;6(10):4063-78. doi: 10.1364/BOE.6.004063. eCollection 2015 Oct 1.
5
Single-trial lie detection using a combined fNIRS-polygraph system.使用功能性近红外光谱仪(fNIRS)与多导生理记录仪组合系统进行单次试验测谎。
Front Psychol. 2015 Jun 2;6:709. doi: 10.3389/fpsyg.2015.00709. eCollection 2015.
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A Unified Sparse Recovery and Inference Framework for Functional Diffuse Optical Tomography Using Random Effect Model.一种使用随机效应模型的功能扩散光学断层扫描的统一稀疏恢复与推断框架。
IEEE Trans Med Imaging. 2015 Jul;34(7):1602-1615. doi: 10.1109/TMI.2015.2407891. Epub 2015 Feb 27.
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Lateralization of music processing with noises in the auditory cortex: an fNIRS study.听觉皮层中音乐加工与噪声的偏侧化:一项功能近红外光谱研究。
Front Behav Neurosci. 2014 Dec 9;8:418. doi: 10.3389/fnbeh.2014.00418. eCollection 2014.
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Classification of prefrontal and motor cortex signals for three-class fNIRS-BCI.用于三类功能性近红外光谱脑机接口的前额叶和运动皮层信号分类
Neurosci Lett. 2015 Feb 5;587:87-92. doi: 10.1016/j.neulet.2014.12.029. Epub 2014 Dec 18.
9
Reduction of physiological effects in fNIRS waveforms for efficient brain-state decoding.减少功能近红外光谱波形中的生理效应以实现高效的脑状态解码。
Neurosci Lett. 2014 Sep 19;580:130-6. doi: 10.1016/j.neulet.2014.07.058. Epub 2014 Aug 8.
10
State-space models of impulse hemodynamic responses over motor, somatosensory, and visual cortices.运动、体感和视觉皮层上冲动血流动力学反应的状态空间模型。
Biomed Opt Express. 2014 May 9;5(6):1778-98. doi: 10.1364/BOE.5.001778. eCollection 2014 Jun 1.

用于功能近红外光谱三维成像的捆绑式光极实现

Bundled-optode implementation for 3D imaging in functional near-infrared spectroscopy.

作者信息

Nguyen Hoang-Dung, Hong Keum-Shik

机构信息

Department of Cogno-Mechatronics Engineering, Pusan National University, 2 Busandaehak-ro, Geumjeong-gu, Busan 46241, South Korea.

Department of Cogno-Mechatronics Engineering, Pusan National University, 2 Busandaehak-ro, Geumjeong-gu, Busan 46241, South Korea; School of Mechanical Engineering, Pusan National University, 2 Busandaehak-ro, Geumjeong-gu, Busan 46241, South Korea.

出版信息

Biomed Opt Express. 2016 Aug 16;7(9):3491-3507. doi: 10.1364/BOE.7.003491. eCollection 2016 Sep 1.

DOI:10.1364/BOE.7.003491
PMID:27699115
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5030027/
Abstract

The paper presents a functional near-infrared spectroscopy (fNIRS)-based bundled-optode method for detection of the changes of oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR) concentrations. fNIRS with 32 optodes is utilized to measure five healthy male subjects' brain-hemodynamic responses to arithmetic tasks. Specifically, the coordinates of 256 voxels in the three-dimensional (3D) volume are computed according to the known probe geometry. The mean path length factor in the Beer-Lambert equation is estimated as a function of the emitter-detector distance, which is utilized for computation of the absorption coefficient. The mean values of HbO and HbR obtained from the absorption coefficient are then applied for construction of a 3D fNIRS image. Our results show that the proposed method, as compared with the conventional approach, can detect brain activity with higher spatial resolution. This method can be extended for 3D fNIRS imaging in real-time applications.

摘要

本文提出了一种基于功能近红外光谱(fNIRS)的束状光极法,用于检测氧合血红蛋白(HbO)和脱氧血红蛋白(HbR)浓度的变化。使用具有32个光极的fNIRS来测量5名健康男性受试者对算术任务的脑血流动力学反应。具体而言,根据已知的探头几何形状计算三维(3D)体积中256个体素的坐标。将比尔-朗伯方程中的平均光程长度因子估计为发射极-探测器距离的函数,该函数用于计算吸收系数。然后,将从吸收系数获得的HbO和HbR的平均值应用于构建3D fNIRS图像。我们的结果表明,与传统方法相比,所提出的方法能够以更高的空间分辨率检测脑活动。该方法可扩展用于实时应用中的3D fNIRS成像。