Assessing Cerebral Microvascular Volumetric Pulsatility with High-Resolution 4D CBV MRI at 7T

Fanhua Guo, Chenyang Zhao, Qinyang Shou, Ning Jin, Kay Jann, Xingfeng Shao, Danny JJ Wang
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Abstract

Arterial pulsation is crucial for promoting fluid circulation and for influencing neuronal activity. Previous studies assessed the pulsatility index based on blood flow velocity pulsatility in relatively large cerebral arteries of human. Here, we introduce a novel method to quantify the volumetric pulsatility of cerebral microvasculature across cortical layers and in white matter (WM), using high-resolution 4D vascular space occupancy (VASO) MRI with simultaneous recording of pulse signals at 7T. Microvascular volumetric pulsatility index (mvPI) and cerebral blood volume (CBV) changes across cardiac cycles are assessed through retrospective sorting of VASO signals into cardiac phases and estimating mean CBV in resting state (CBV0) by arterial spin labeling (ASL) MRI at 7T. Using data from 11 young (28.4±5.8 years) and 7 older (61.3±6.2 years) healthy participants, we investigated the aging effect on mvPI and compared microvascular pulsatility with large arterial pulsatility assessed by 4D-flow MRI. We observed the highest mvPI in the cerebrospinal fluid (CSF) on the cortical surface (0.19±0.06), which decreased towards the cortical layers as well as in larger arteries. In the deep WM, a significantly increased mvPI (p = 0.029) was observed in the older participants compared to younger ones. Additionally, mvPI in deep WM is significantly associated with the velocity pulsatility index (vePI) of large arteries (r = 0.5997, p = 0.0181). We further performed test-retest scans, non-parametric reliability test and simulations to demonstrate the reproducibility and accuracy of our method. To the best of our knowledge, our method offers the first in vivo measurement of microvascular volumetric pulsatility in human brain which has implications for cerebral microvascular health and its relationship research with glymphatic system, aging and neurodegenerative diseases.
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利用 7T 高分辨率 4D CBV MRI 评估脑微血管容积脉动性
动脉搏动对促进体液循环和影响神经元活动至关重要。以往的研究根据人类相对较大的脑动脉血流速度搏动来评估搏动指数。在此,我们介绍一种新方法,利用高分辨率四维血管空间占位(VASO)磁共振成像技术,在 7T 下同时记录脉冲信号,量化大脑皮层和白质(WM)中的微血管体积搏动。通过在 7T 下回顾性地将 VASO 信号按心脏阶段分类,并通过动脉自旋标记(ASL)核磁共振成像估计静息状态下的平均 CBV(CBV0),评估微血管容积脉动指数(mvPI)和脑血容量(CBV)在整个心动周期中的变化。利用 11 名年轻(28.4±5.8 岁)和 7 名年长(61.3±6.2 岁)健康参与者的数据,我们研究了衰老对 mvPI 的影响,并将微血管搏动性与 4D 流磁共振成像评估的大动脉搏动性进行了比较。我们在皮层表面的脑脊液(CSF)中观察到最高的 mvPI(0.19±0.06),该值向皮层和大动脉方向降低。在深层 WM 中,老年参与者的 mvPI 比年轻参与者明显增加(p = 0.029)。此外,WM 深部的 mvPI 与大动脉的速度搏动指数 (vePI) 显著相关(r = 0.5997,p = 0.0181)。我们进一步进行了测试-重复扫描、非参数可靠性测试和模拟,以证明我们方法的可重复性和准确性。据我们所知,我们的方法首次提供了人脑微血管体积搏动性的活体测量,对脑部微血管健康及其与甘液系统、衰老和神经退行性疾病的关系研究具有重要意义。
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