Wylie Glenn R, Graber Harry L, Voelbel Gerald T, Kohl Alexander D, DeLuca John, Pei Yaling, Xu Yong, Barbour Randall L
Neuropsychology and Neuroscience Laboratory, Kessler Foundation Research Center, 300 Executive Drive, Suite 10, West Orange, New Jersey 07052, USA.
Neuroimage. 2009 Aug 15;47(2):473-81. doi: 10.1016/j.neuroimage.2009.04.056. Epub 2009 May 3.
The premise of this report is that functional Near Infrared Spectroscopy (fNIRS) imaging data contain valuable physiological information that can be extracted by using analysis techniques that simultaneously consider the components of the measured hemodynamic response [i.e., levels of oxygenated, deoxygenated and total hemoglobin (oxyHb, deoxyHb and totalHb, respectively)]. We present an algorithm for examining the spatiotemporal co-variations among the Hb components, and apply it to the data obtained from a demonstrational study that employed a well-established visual stimulation paradigm: a contrast-reversing checkerboard. Our results indicate that the proposed method can identify regions of tissue that participate in the hemodynamic response to neuronal activation, but are distinct from the areas identified by conventional analyses of the oxyHb, deoxyHb and totalHb data. A discussion is provided that compares these findings to other recent studies using fNIRS techniques.
本报告的前提是，功能性近红外光谱（fNIRS）成像数据包含有价值的生理信息，这些信息可以通过使用同时考虑测量的血液动力学反应成分的分析技术来提取[即分别为氧合血红蛋白、脱氧血红蛋白和总血红蛋白（分别为oxyHb、deoxyHb和totalHb）的水平]。我们提出了一种用于检查血红蛋白成分之间时空协变的算法，并将其应用于从一项采用成熟视觉刺激范式（对比度反转棋盘格）的示范研究中获得的数据。我们的结果表明，所提出的方法可以识别参与对神经元激活的血液动力学反应的组织区域，但与通过对oxyHb、deoxyHb和totalHb数据进行传统分析所确定的区域不同。本文还进行了讨论，将这些发现与最近使用fNIRS技术的其他研究进行了比较。
