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First Principle Modeling of Simultaneous VASO and BOLD fMRI with Two-Photon Microscopy for Optimal Quantification of CBV Changes in Humans

机译:双光子显微镜同时血管和大胆FMRI的第一个原理建模,以实现人类CBV变化的最佳量化

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The vascular space occupancy (VASO) fMRI method probes changes in cerebral blood volume (CBV) under variousphysiological states, including neuronal activation in humans. However, it requires a careful choice of sequenceparameters because the blood oxygen-level dependent (BOLD) effect offsets the VASO signal. Assessing this BOLDcontamination as a function of pulse sequence parameters would improve the quantification of CBV changes withVASO. However, this task requires knowledge of the cerebral vascular geometry of the MRI voxel. Towards this end,optical microscopy can provide high-resolution 3D images of vasculature. Here, we use detailed angiograms of rodentbrain acquired with two-photon microscopy to model fMRI signals (VASO and BOLD) from first principles usingMonte Carlo diffusion of water protons. We present quantitative plots of VASO together with intra- and extravascularBOLD fractional signal changes as a function of echo time (TE), for spin echo (SE) and gradient echo (GRE) pulsesequences, at low to ultra-high magnetic fields. Our results indicate that at 3T, the BOLD contamination of the VASOresponse is under 12% for GRE and 2% for SE up to TE=6 ms, but this contamination is significantly higher at 7T andabove. We also found GRE BOLD intravascular contributions of 85% at 1.5T, 55% at 3T and 4% at 7T and SEintravascular contributions of 70% at 1.5T, 40% at 3T and 10% at 7T. These results may provide important informationto optimize the pulse sequence timing in human VASO and BOLD fMRI, leading the way to a wider application of thesefMRI techniques in healthy and diseased brain.
机译:血管空间占用(VASO)FMRI方法探测各种脑血量(CBV)的变化生理状态,包括人类神经元激活。但是,它需要仔细选择序列参数是因为血氧级相关(粗体)效应偏离vaso信号。评估这个大胆作为脉冲序列参数的函数的污染将提高CBV变化的量化vaso。然而,这项任务需要了解MRI体素的脑血管几何形状。为此,光学显微镜可以提供脉管系统的高分辨率3D图像。在这里,我们使用啮齿动物的详细血管造影用双光子显微镜获得脑,以从第一个原理模拟FMRI信号(vaso和粗体)蒙特卡罗的水质子扩散。我们将vaso的定量图与内血管一起一起作为回声时间(TE)的函数的粗体分数信号变化,用于旋转回波(SE)和梯度回波(GRE)脉冲序列,低于超高磁场。我们的结果表明,在3T,瓦西的大胆污染GRE的响应低于12%,SE高于TE = 6毫秒,但在7T和7T时,这种污染明显高出明显更高以上。我们还发现GRE大胆的血管内捐款85%,在7T和SE的3T和4%在3T和4%处7t,血管内贡献在1.5t,40%下为40%,40%,10%在7t。这些结果可以提供重要信息为了优化人类vaso和粗体fmri中的脉冲序列时序,这导致了更广泛的应用方式健康和患病脑中的FMRI技术。

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