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使用菲洛沙妥加权层流MRI绘制灵长类动物大脑中的血管网络结构。

Mapping vascular network architecture in primate brain using ferumoxytol-weighted laminar MRI.

作者信息

Autio Joonas A, Kimura Ikko, Ose Takayuki, Matsumoto Yuki, Ohno Masahiro, Urushibata Yuta, Ikeda Takuro, Glasser Matthew F, Van Essen David C, Hayashi Takuya

机构信息

Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.

Siemens Healthcare K.K., Tokyo, Japan.

出版信息

bioRxiv. 2025 Feb 14:2024.05.16.594068. doi: 10.1101/2024.05.16.594068.

Abstract

Mapping the vascular organization of the brain is of great importance across various domains of basic neuroimaging research, diagnostic radiology, and neurology. However, the intricate task of precisely mapping vasculature across brain regions and cortical layers presents formidable challenges, resulting in a limited understanding of neurometabolic factors influencing the brain's microvasculature. Addressing this gap, our study investigates whole-brain vascular volume using ferumoxytol-weighted laminar-resolution multi-echo gradient-echo imaging in macaque monkeys. We validate the results with published data for vascular densities and compare them with cytoarchitecture, neuron and synaptic densities. The ferumoxytol-induced change in transverse relaxation rate ( ), an indirect proxy measure of cerebral blood volume (CBV), was mapped onto twelve equivolumetric laminar cortical surfaces. Our findings reveal that CBV varies 3-fold across the brain, with the highest vascular volume observed in the inferior colliculus and lowest in the corpus callosum. In the cerebral cortex, CBV is notably high in early primary sensory areas and low in association areas responsible for higher cognitive functions. Classification of CBV into distinct groups unveils extensive replication of translaminar vascular network motifs, suggesting distinct computational energy supply requirements in areas with varying cytoarchitecture types. Regionally, baseline and CBV exhibit positive correlations with neuron density and negative correlations with receptor densities. Adjusting image resolution based on the critical sampling frequency of penetrating cortical vessels allows us to delineate approximately 30% of the arterial-venous vessels. Collectively, these results mark significant methodological and conceptual advancements, contributing to the refinement of cerebrovascular MRI. Furthermore, our study establishes a linkage between neurometabolic factors and the vascular network architecture in the primate brain.

摘要

绘制大脑的血管组织图在基础神经成像研究、诊断放射学和神经病学等各个领域都具有极其重要的意义。然而,精确绘制跨脑区和皮质层的脉管系统这一复杂任务面临着巨大挑战,导致我们对影响大脑微血管系统的神经代谢因素的了解有限。为了填补这一空白,我们的研究使用菲洛施(ferumoxytol)加权的层分辨率多回波梯度回波成像技术,对猕猴的全脑血管体积进行了研究。我们用已发表的血管密度数据验证了结果,并将其与细胞结构、神经元和突触密度进行了比较。将菲洛施诱导的横向弛豫率变化( )(脑血容量(CBV)的间接替代指标)映射到十二个等体积的层状皮质表面上。我们的研究结果表明,全脑的CBV变化了3倍,在下丘脑中观察到的血管体积最高,而在胼胝体中最低。在大脑皮层中,早期初级感觉区域的CBV明显较高,而负责更高认知功能的联合区域的CBV较低。将CBV分类为不同的组揭示了跨层血管网络模式的广泛重复性,这表明在具有不同细胞结构类型的区域中存在不同的计算能量供应需求。在区域上,基线 和CBV与神经元密度呈正相关,与受体密度呈负相关。根据穿透皮质血管的临界采样频率调整图像分辨率,使我们能够勾勒出大约30%的动静脉血管。总的来说,这些结果标志着在方法和概念上取得了重大进展,有助于改进脑血管磁共振成像。此外,我们的研究在灵长类动物大脑中建立了神经代谢因素与血管网络结构之间的联系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a83/11828528/4a07fa721aac/nihpp-2024.05.16.594068v4-f0001.jpg

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