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使用高分辨率定量 MRI 进行活体骨髓构筑分析的主题特定框架。

A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI.

机构信息

Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Faculty of Computer Science, Otto von Guericke University Magdeburg, Magdeburg, Germany.

出版信息

Neuroimage. 2016 Jan 15;125:94-107. doi: 10.1016/j.neuroimage.2015.10.001. Epub 2015 Oct 9.

Abstract

Structural magnetic resonance imaging can now resolve laminar features within the cerebral cortex in vivo. A variety of intracortical contrasts have been used to study the cortical myeloarchitecture with the purpose of mapping cortical areas in individual subjects. In this article, we first briefly review recent advances in MRI analysis of cortical microstructure to portray the potential and limitations of the current state-of-the-art. We then present an integrated framework for the analysis of intracortical structure, composed of novel image processing tools designed for high resolution cortical images. The main features of our framework are the segmentation of quantitative T1 maps to delineate the cortical boundaries (Bazin et al., 2014), and the use of an equivolume layering model to define an intracortical coordinate system that follows the anatomical layers of the cortex (Waehnert et al., 2014). We evaluate the framework with 150μm isotropic post mortem T2(∗)-weighted images and 0.5mm isotropic in vivo T1 maps, a quantitative index of myelin content. We study the laminar structure of the primary visual cortex (Brodmann area 17) in the post mortem and in vivo data, as well as the central sulcus region in vivo, in particular Brodmann areas 1, 3b and 4. We also investigate the impact of the layering models on the relationship between T1 and cortical curvature. Our experiments demonstrate that the equivolume intracortical surfaces and transcortical profiles best reflect the laminar structure of the cortex in areas of curvature in comparison to the state-of-the-art equidistant and Laplace implementations. This framework generates a subject specific intracortical coordinate system, the basis for subsequent architectonic analyses of the cortex. Any structural or functional contrast co-registered to the T1 maps, used to segment the cortex, can be sampled on the curved grid for analysis. This work represents an important step towards in vivo structural brain mapping of individual subjects.

摘要

结构磁共振成像现在可以在体内分辨大脑皮层的层状特征。已经使用了各种皮质内对比来研究皮质的髓鞘结构,目的是在个体受试者中绘制皮质区域。在本文中,我们首先简要回顾了皮质微观结构磁共振成像分析的最新进展,以描绘当前技术的潜力和局限性。然后,我们提出了一种皮质内结构分析的综合框架,该框架由专门为高分辨率皮质图像设计的新型图像处理工具组成。我们框架的主要特点是对定量 T1 图进行分割,以描绘皮质边界(Bazin 等人,2014 年),以及使用等体积分层模型来定义遵循皮质解剖层的皮质内坐标系(Waehnert 等人,2014 年)。我们使用 150μm 各向同性死后 T2(∗)-加权图像和 0.5mm 各向同性体内 T1 图(髓鞘含量的定量指标)评估该框架。我们在死后和体内数据中研究了初级视觉皮层(Brodmann 区 17)的层状结构,以及体内中央沟区域,特别是 Brodmann 区 1、3b 和 4。我们还研究了分层模型对 T1 和皮质曲率之间关系的影响。我们的实验表明,与最先进的等距和拉普拉斯实现相比,等体积皮质内表面和跨皮质剖面在曲率区域最能反映皮质的层状结构。该框架生成了一个特定于主题的皮质内坐标系,是后续皮质结构分析的基础。可以在弯曲的网格上对与 T1 图配准的任何结构或功能对比进行采样,以便进行分析。这项工作是朝着对个体受试者进行体内结构脑映射迈出的重要一步。

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