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利用扩散磁共振成像在体绘制人类大脑皮质微观结构图谱。

Mapping the microstructure of human cerebral cortex in vivo with diffusion MRI.

作者信息

Sadikov Amir, Choi Hannah L, Xiao Jaclyn, Cai Lanya T, Mukherjee Pratik

机构信息

Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.

Graduate Group in Bioengineering, University of California, San Francisco, CA, USA.

出版信息

Commun Biol. 2025 Jul 22;8(1):1088. doi: 10.1038/s42003-025-08523-9.

Abstract

Despite advances in diffusion MRI, which have led to remarkable progress in mapping white matter of the living human brain, our understanding of cerebral cortical microstructure in vivo and its relationship to macrostructure, myeloarchitecture, cytoarchitecture, chemoarchitecture, metabolism, and function lag far behind. We present neuromaps of 21 microstructural metrics derived from diffusion tensor, diffusion kurtosis, mean apparent propagator, and neurite orientation dispersion and density imaging of the young adult cerebral cortex. These 21 metrics are explained by four composite factors that correspond to diffusion kurtosis (intracellular volume fraction/neurite density), isotropic diffusion (free water fraction), heterogenous diffusion (extracellular volume fraction) and diffusion anisotropy (neurite orientation dispersion). We demonstrate how cortical microstructure follows cytoarchitectural and laminar differentiation, aligns with the macroscale sensory-fugal and sensorimotor-association axes, and contributes to functional brain networks, neural oscillatory dynamics, neurotransmitter receptor/transporter distributions, and cognition and behavior.

摘要

尽管扩散磁共振成像(MRI)取得了进展,这使得在绘制活体人类大脑白质方面取得了显著进展,但我们对活体大脑皮质微观结构及其与宏观结构、髓鞘结构、细胞结构、化学结构、代谢和功能之间关系的理解仍远远落后。我们展示了从扩散张量、扩散峰度、平均表观传播子以及年轻成人脑皮质的神经突方向离散度和密度成像中得出的21个微观结构指标的神经图谱。这21个指标由四个复合因素解释,它们分别对应扩散峰度(细胞内体积分数/神经突密度)、各向同性扩散(自由水分数)、异质性扩散(细胞外体积分数)和扩散各向异性(神经突方向离散度)。我们展示了皮质微观结构如何遵循细胞结构和层状分化,与宏观感觉 - 离心和感觉运动 - 联合轴对齐,并对功能性脑网络、神经振荡动力学、神经递质受体/转运体分布以及认知和行为做出贡献。

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