Ou Wanmei, Nissilä Ilkka, Radhakrishnan Harsha, Boas David A, Hämäläinen Matti S, Franceschini Maria Angela
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Neuroimage. 2009 Jul 1;46(3):624-32. doi: 10.1016/j.neuroimage.2009.03.008. Epub 2009 Mar 12.
By combining diffuse optical imaging (DOI) and magnetoencephalography (MEG) we investigate neurovascular coupling non-invasively in human subjects using median-nerve stimulation. Previous fMRI studies have shown a habituation effect in the hemodynamic blood oxygen level-dependent (BOLD) response for stimulation periods longer than 2 s. With DOI and MEG we can test whether this effect in hemodynamic response can be accounted for by a habituation effect in the neural response. Our experimental results show that the habituation effect in the hemodynamic response is stronger than that in the earliest cortical neural response (N20). Using a linear convolution model to predict hemodynamic responses we found that including late neural components (> or = 30 ms) improves the prediction of the hemoglobin response. This finding suggests that in addition to the initial evoked-response deflections related to the talamic afferent input, later cortical activity is needed to predict the hemodynamic response.
通过结合扩散光学成像(DOI)和脑磁图(MEG),我们使用正中神经刺激对人类受试者进行无创性神经血管耦合研究。先前的功能磁共振成像(fMRI)研究表明,对于刺激持续时间超过2秒的情况,血液动力学血氧水平依赖(BOLD)反应存在习惯化效应。借助DOI和MEG,我们可以测试血液动力学反应中的这种效应是否可由神经反应中的习惯化效应来解释。我们的实验结果表明,血液动力学反应中的习惯化效应比最早的皮质神经反应(N20)中的更强。使用线性卷积模型预测血液动力学反应时,我们发现纳入晚期神经成分(≥30毫秒)可改善对血红蛋白反应的预测。这一发现表明,除了与丘脑传入输入相关的初始诱发反应偏转外,还需要后期的皮质活动来预测血液动力学反应。