A Simple Design of Functional Near-Infrared Spectroscopy System
XU Gang1, LI Xiao-li1*, LIU Xiao-min2
1. National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China 2. College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 110124, China
Abstract：With the development in last twenty years, functional near-infrared spectroscopy (fNIRS) is a non-invasive brain imaging technique which widely used in cognitive neuroscience studies. Based on mechanism of neurovascular coupling, increased functional neural activities in brain induce higher regional cerebral blood flow, which will cause relative concentration change of oxygenated and deoxygenated hemoglobin. In this paper, a single channel continuous wave fNIRS system based on multi-function data acquisition board was proposed. With the benefits of narrow spectral peaks and low divergence, laser diodes provided a better accuracy for measurement with optimal dual-wavelength of 690 and 830 nm. Frequency multiplexing technique was used to distinguish light sources from different emitters, and remove environmental stable interference sources such as ambient light and line power noise as well. LabVIEW was used to design graphical user interface with functionalities including source sequence schedule, auto gain setting, digital in-phase and quadrature demodulation, data visualization and storage. The experimental results during holding breath and mental arithmetic task indicated that our system was capable of monitoring regional concentration change of hemoglobin in real time, and detecting activation associated with advanced brain functions.
[1] McIntosh M A, Shahani U, Boultonl G, et al. Invest. Ophthalmol. Vis. Sci., 2010, 51(9): 4856. [2] Cui X, Bray S, Bryant D M, et al. Neuroimage, 2011, 54(4): 2808. [3] Monden Y, Dan H, Nagashima M, et al. Clinical Neurophysiology, 2012, 123(6): 1147. [4] Takei Y, Suda M, Aoyama Y, et al. J. Psychiatr. Res., 2013, 47(11): 1581. [5] Quaresima V, Bisconti S, Ferrari M. Brain Lang, 2012, 121(2): 79. [6] Mehta R K, Parasuraman R. Front Hum. Neurosci., 2013, 7: 889. [7] Ferrari M，Quaresima V. Neuroimage, 2012, 63(2): 921. [8] ZHENG Yi, LUO Qing-ming, LIU Qian, et al(郑 毅, 骆清铭, 刘 谦，等). Chinese Journal of Biomedical Engineering(中国生物医学工程学报), 2007, 26(6): 898. [9] GONG Hui, LI Cheng-jun, LI Ting, et al(龚 辉, 李成军, 李 婷，等). Science in China (Series G)(中国科学·G辑), 2007, 37(B10): 110. [10] QIN Zhao, LI Kai-yang, YANG Xuan-dong, et al(秦 钊, 李凯扬, 杨宣东，等). Journal of Biomedical Engineering(生物医学工程学杂志), 2007, 24(6): 1220. [11] LIU Yong-kang, LI Wei-tao, QIAN Yu-zhi, et al(刘永康, 李韪韬, 钱余志, 等). Journal of Data Acquisition and Processing(数据采集与处理), 2013, 28(5): 691. [12] Kawaguchi H, Okui N, Sakaguchi K, et al. Opto-Electronics Review, 2008, 16(4): 404.
