On the Validation of a Multiple-Network Poroelastic Model Using Arterial Spin Labeling MRI Data
On the Validation of a Multiple-Network Poroelastic Model Using Arterial Spin Labeling MRI Data
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使用动脉自旋标记 MRI 数据验证多网络多孔弹性模型
DOI：
10.3389/fncom.2019.00060
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发表时间：
2019-09-03
影响因子：
3.2
通讯作者：
Ventikos, Yiannis
中科院分区：
文献类型：
--
作者：
Guo, Liwei;Li, Zeyan;Ventikos, Yiannis
多网络多孔弹性理论（MPET）是一种表征大脑中多个流体网络传输的数值模型，它克服了对单个流体隔室进行单独分析以及除了不同流体本身之间的相互作用之外失去组织和流体之间的相互作用的问题。在本文中，从MPET建模的血液灌注结果部分验证使用脑血流量（CBF）数据从动脉自旋标记（ASL）磁共振成像（MRI），使用动脉血水作为内源性示踪剂来测量CBF。两名受试者-一名健康对照和一名单侧大脑中动脉（MCA）狭窄患者被纳入验证测试。比较显示了ASL的CBF数据和MPET建模的血液灌注结果之间的几个相似之处，例如灰质中的血液灌注高于白色物质，健康对照和患者的脑室周围区域中的较高灌注，以及患者的血液灌注的不对称分布。虽然部分验证主要是以定性的方式进行的，但它是MPET模型全面验证的重要一步，该模型有可能用作神经科学研究中假设和新理论的测试平台。
The Multiple-Network Poroelastic Theory (MPET) is a numerical model to characterize the transport of multiple fluid networks in the brain, which overcomes the problem of conducting separate analyses on individual fluid compartments and losing the interactions between tissue and fluids, in addition to the interaction between the different fluids themselves. In this paper, the blood perfusion results from MPET modeling are partially validated using cerebral blood flow (CBF) data obtained from arterial spin labeling (ASL) magnetic resonance imaging (MRI), which uses arterial blood water as an endogenous tracer to measure CBF. Two subjects—one healthy control and one patient with unilateral middle cerebral artery (MCA) stenosis are included in the validation test. The comparison shows several similarities between CBF data from ASL and blood perfusion results from MPET modeling, such as higher blood perfusion in the gray matter than in the white matter, higher perfusion in the periventricular region for both the healthy control and the patient, and asymmetric distribution of blood perfusion for the patient. Although the partial validation is mainly conducted in a qualitative way, it is one important step toward the full validation of the MPET model, which has the potential to be used as a testing bed for hypotheses and new theories in neuroscience research.