Song Allen W, Gangstead Stacey L
Brain Imaging and Analysis Center, Duke University, NC 27710, USA.
J Neural Eng. 2004 Mar;1(1):32-8. doi: 10.1088/1741-2560/1/1/005. Epub 2004 Mar 15.
The blood oxygenation level dependent (BOLD) contrast has been commonly used to detect fMRI signal. The majority of the BOLD signals are believed to arise from the venous and capillary networks. However, only those from the capillaries are spatially close to the neuronal activities, while the signals from large veins could be distant, rendering the overall localization inaccurate. In recent years, an alternative contrast using arterial spin labeled (ASL) perfusion imaging techniques has been proposed for predominant capillary sensitivity. Such acquisition methods, however, are intrinsically limited in temporal resolution and spatial coverage. Another contrast mechanism, free of such constraints, is based on the apparent diffusion coefficient (ADC) changes during brain activation using isotropic diffusion weighting. It has been shown that these changes are synchronized with brain activation and that they, as a whole, temporally precede BOLD activation, suggesting significant upstream arterial contribution. Moreover, the spatial overlaps between the upstream ADC and downstream BOLD activations are shown to be more localized in the capillaries, which are the temporal and spatial middle ground. In this paper, we sought to further investigate the temporal and spatial characteristics of ADC contrast with additional arterial signal suppression. Also, a pixel-based evaluation was performed in conjunction with the averaged global assessment. It was found that in addition to the known spatial discrepancy and global timing advance compared to the BOLD signal, the ADC activation endured significant temporal heterogeneities. Such fine spatial and temporal assessment could help characterize the exact signal sources of ADC contrast, and ultimately achieve exclusive capillary sensitivity.
血氧水平依赖(BOLD)对比常用于检测功能磁共振成像(fMRI)信号。大多数BOLD信号被认为源于静脉和毛细血管网络。然而,只有来自毛细血管的信号在空间上接近神经元活动,而来自大静脉的信号可能距离较远,导致整体定位不准确。近年来,有人提出使用动脉自旋标记(ASL)灌注成像技术的另一种对比方法,以实现对毛细血管的主要敏感性。然而,这种采集方法在时间分辨率和空间覆盖方面存在内在限制。另一种不受此类限制的对比机制基于使用各向同性扩散加权时脑激活期间的表观扩散系数(ADC)变化。研究表明,这些变化与脑激活同步,并且总体上在时间上先于BOLD激活,表明上游动脉有显著贡献。此外,上游ADC激活和下游BOLD激活之间的空间重叠在毛细血管中表现得更具局限性,而毛细血管是时间和空间的中间地带。在本文中,我们试图通过额外的动脉信号抑制进一步研究ADC对比的时间和空间特征。此外,还结合平均全局评估进行了基于像素的评估。结果发现,与BOLD信号相比,除了已知的空间差异和全局时间提前外,ADC激活还存在显著的时间异质性。这种精细的空间和时间评估有助于表征ADC对比的确切信号源,并最终实现对毛细血管的专属敏感性。