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神经突成像揭示了人类大脑皮质灰质的微观结构变化。

Neurite imaging reveals microstructural variations in human cerebral cortical gray matter.

机构信息

RIKEN Center for Life Science Technologies, Kobe, Japan; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA; St. Luke's Hospital, St. Louis, MO, USA.

出版信息

Neuroimage. 2018 Nov 15;182:488-499. doi: 10.1016/j.neuroimage.2018.02.017. Epub 2018 Feb 12.

Abstract

We present distinct patterns of neurite distribution in the human cerebral cortex using diffusion magnetic resonance imaging (MRI). We analyzed both high-resolution structural (T1w and T2w images) and diffusion MRI data in 505 subjects from the Human Connectome Project. Neurite distributions were evaluated using the neurite orientation dispersion and density imaging (NODDI) model, optimized for gray matter, and mapped onto the cortical surface using a method weighted towards the cortical mid-thickness to reduce partial volume effects. The estimated neurite density was high in both somatosensory and motor areas, early visual and auditory areas, and middle temporal area (MT), showing a strikingly similar distribution to myelin maps estimated from the T1w/T2w ratio. The estimated neurite orientation dispersion was particularly high in early sensory areas, which are known for dense tangential fibers and are classified as granular cortex by classical anatomists. Spatial gradients of these cortical neurite properties revealed transitions that colocalize with some areal boundaries in a recent multi-modal parcellation of the human cerebral cortex, providing mutually supportive evidence. Our findings indicate that analyzing the cortical gray matter neurite morphology using diffusion MRI and NODDI provides valuable information regarding cortical microstructure that is related to but complementary to myeloarchitecture.

摘要

我们使用扩散磁共振成像(MRI)呈现了人类大脑皮层中不同的神经突分布模式。我们分析了来自人类连接组计划的 505 名受试者的高分辨率结构(T1w 和 T2w 图像)和扩散 MRI 数据。使用针对灰质优化的神经突取向弥散和密度成像(NODDI)模型评估神经突分布,并使用加权到皮质中间厚度的方法将其映射到皮质表面,以减少部分容积效应。在体感和运动区、早期视觉和听觉区以及颞中回(MT)中,估计的神经突密度都很高,其分布与从 T1w/T2w 比估计的髓鞘图谱非常相似。在早期感觉区,估计的神经突取向弥散特别高,这些区域以密集的切线纤维为特征,并且被经典解剖学家归类为颗粒状皮质。这些皮质神经突特性的空间梯度揭示了与最近人类大脑皮质多模态分割中的一些区域边界共定位的转变,提供了相互支持的证据。我们的发现表明,使用扩散 MRI 和 NODDI 分析皮质灰质神经突形态提供了有关与髓鞘结构相关但互补的皮质微观结构的有价值信息。

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