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不同神经血管腔室中事件相关功能磁共振成像反应的组成结构。

Component structure of event-related fMRI responses in the different neurovascular compartments.

作者信息

Roberts Kenneth C, Tran Tung T, Song Allen W, Woldorff Marty G

机构信息

Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.

出版信息

Magn Reson Imaging. 2007 Apr;25(3):328-34. doi: 10.1016/j.mri.2006.08.010. Epub 2007 Jan 30.

Abstract

In most functional magnetic resonance imaging (fMRI) studies, brain activity is localized by observing changes in the blood oxygenation level-dependent (BOLD) signal that are believed to arise from capillaries, venules and veins in and around the active neuronal population. However, the contribution from veins can be relatively far downstream from active neurons, thereby limiting the ability of BOLD imaging methods to precisely pinpoint neural generators. Hemodynamic measures based on apparent diffusion coefficients (ADCs) have recently been used to identify more upstream functional blood flow changes in the capillaries, arterioles and arteries. In particular, we recently showed that, due to the complementary vascular sensitivities of ADC and BOLD signals, the voxels conjointly activated by both measures may identify the capillary networks of the active neuronal areas. In this study, we first used simultaneously acquired ADC and BOLD functional imaging signals to identify brain voxels activated by ADC only, by both ADC and BOLD and by BOLD only, thereby delineating voxels relatively dominated by the arterial, capillary, and draining venous neurovascular compartments, respectively. We then examined the event-related fMRI BOLD responses in each of these delineated neurovascular compartments, hypothesizing that their event-related responses would show different temporal componentries. In the regions activated by both the BOLD and ADC contrasts, but not in the BOLD-only areas, we observed an initial transient signal reduction (an initial dip), consistent with the local production of deoxyhemoglobin by the active neuronal population. In addition, the BOLD-ADC overlap areas and the BOLD-only areas showed a clear poststimulus undershoot, whereas the compartment activated by only ADC did not show this component. These results indicate that using ADC contrast in conjunction with BOLD imaging can help delineate the various neurovascular compartments, improve the localization of active neural populations, and provide insight into the physiological mechanisms underlying the hemodynamic signals.

摘要

在大多数功能磁共振成像(fMRI)研究中,大脑活动通过观察血氧水平依赖(BOLD)信号的变化来定位,这种信号被认为源自活跃神经元群体及其周围的毛细血管、小静脉和静脉。然而,静脉的贡献可能相对来自活跃神经元的下游较远位置,从而限制了BOLD成像方法精确确定神经发生器的能力。基于表观扩散系数(ADC)的血流动力学测量最近已被用于识别毛细血管、小动脉和动脉中更上游的功能性血流变化。特别是,我们最近表明,由于ADC和BOLD信号在血管敏感性上具有互补性,两种测量方法共同激活的体素可能识别出活跃神经元区域的毛细血管网络。在本研究中,我们首先使用同时采集的ADC和BOLD功能成像信号来识别仅由ADC激活、由ADC和BOLD共同激活以及仅由BOLD激活的脑体素,从而分别描绘出相对由动脉、毛细血管和引流静脉神经血管腔室主导的体素。然后,我们检查了这些描绘出的神经血管腔室中每一个的事件相关fMRI BOLD反应,假设它们的事件相关反应会显示出不同的时间成分。在由BOLD和ADC对比共同激活的区域,但不是仅由BOLD激活的区域,我们观察到一个初始的短暂信号降低(初始下降),这与活跃神经元群体局部产生脱氧血红蛋白一致。此外,BOLD-ADC重叠区域和仅由BOLD激活的区域显示出明显的刺激后下冲,而仅由ADC激活的腔室没有显示出这个成分。这些结果表明,将ADC对比与BOLD成像结合使用可以帮助描绘各种神经血管腔室,改善活跃神经群体的定位,并深入了解血流动力学信号背后的生理机制。

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