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人类胼胝体中的轴突密度、髓鞘形成与分数各向异性的关系。

The Relationship Between Axon Density, Myelination, and Fractional Anisotropy in the Human Corpus Callosum.

机构信息

Department of Psychology, Institute of Cognitive Neuroscience, Biopsychology, Ruhr University Bochum, 44801 Bochum, Germany.

Brain Connectivity and Behaviour Laboratory (BCBLab), Sorbonne Universities, 75013 Paris, France.

出版信息

Cereb Cortex. 2020 Apr 14;30(4):2042-2056. doi: 10.1093/cercor/bhz221.

Abstract

The corpus callosum serves the functional integration and interaction between the two hemispheres. Many studies investigate callosal microstructure via diffusion tensor imaging (DTI) fractional anisotropy (FA) in geometrically parcellated segments. However, FA is influenced by several different microstructural properties such as myelination and axon density, hindering a neurobiological interpretation. This study explores the relationship between FA and more specific measures of microstructure within the corpus callosum in a sample of 271 healthy participants. DTI tractography was used to assess 11 callosal segments and gain estimates of FA. We quantified axon density and myelination via neurite orientation dispersion and density imaging (NODDI) to assess intra-neurite volume fraction and a multiecho gradient spin-echo sequence estimating myelin water fraction. The results indicate three common factors in the distribution of FA, myelin content and axon density, indicating potentially shared rules of topographical distribution. Moreover, the relationship between measures varied across the corpus callosum, suggesting that FA should not be interpreted uniformly. More specific magnetic resonance imaging-based quantification techniques, such as NODDI and multiecho myelin water imaging, may thus play a key role in future studies of clinical trials and individual differences.

摘要

胼胝体为大脑两半球的功能整合和交互提供服务。许多研究通过扩散张量成像(DTI)的各向异性分数(FA)在几何分割的片段中研究胼胝体的微观结构。然而,FA 受到多种不同的微观结构特性的影响,如髓鞘和轴突密度,这阻碍了神经生物学的解释。本研究在 271 名健康参与者的样本中探索了 FA 与胼胝体中更特定的微观结构测量值之间的关系。使用 DTI 轨迹技术评估 11 个胼胝体段并获得 FA 的估计值。我们通过神经丝取向分散和密度成像(NODDI)量化轴突密度和髓鞘,以评估神经元内体积分数和多回波梯度回波序列估计髓鞘水分数。结果表明 FA、髓鞘含量和轴突密度的分布存在三个共同因素,表明可能存在共享的拓扑分布规则。此外,这些测量值在胼胝体上的关系不同,表明 FA 不应被统一解释。因此,更具体的基于磁共振成像的量化技术,如 NODDI 和多回波髓鞘水成像,可能在临床试验和个体差异的未来研究中发挥关键作用。

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