Microstructurally informed subject-specific parcellation of the corpus callosum using axonal water fraction.

IF 2.7 3区 医学 Q1 ANATOMY & MORPHOLOGY Brain Structure & Function Pub Date : 2024-12-13 DOI:10.1007/s00429-024-02872-7
Sohae Chung, Els Fieremans, Dmitry S Novikov, Yvonne W Lui
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Abstract

The corpus callosum (CC) is the most important interhemispheric white matter (WM) structure composed of several anatomically and functionally distinct WM tracts. Resolving these tracts is a challenge since the callosum appears relatively homogenous in conventional structural imaging. Commonly used callosal parcellation methods such as Hofer and Frahm scheme rely on rigid geometric guidelines to separate the substructures that are limited to consider individual variation. Here we present a novel subject-specific and microstructurally-informed method for callosal parcellation based on axonal water fraction (ƒ) known as a diffusion metric reflective of axon caliber and density. We studied 30 healthy subjects from the Human Connectome Project dataset with multi-shell diffusion MRI. The biophysical parameter ƒ was derived from compartment-specific WM modeling. Inflection points were identified where there were concavity changes in ƒ across the CC to delineate callosal subregions. We observed relatively higher ƒ in anterior and posterior areas known to consist of a greater number of small diameter fibers and lower ƒ in posterior body areas of the CC known to consist of a greater number of large diameter fibers. Based on the degree of change in ƒ along the callosum, seven callosal subregions were consistently delineated for each individual. Therefore, this method provides microstructurally informed callosal parcellation in a subject-specific way, allowing for more accurate analysis in the corpus callosum.

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利用轴突水分数,从微观结构上了解胼胝体的特定包裹。
胼胝体(CC)是大脑半球间最重要的白质(WM)结构,由几条在解剖和功能上截然不同的WM束组成。由于胼胝体在传统结构成像中看起来相对单一,因此分辨这些束是一项挑战。常用的胼胝体分割方法(如 Hofer 和 Frahm 方案)依赖于严格的几何准则来分离子结构,而这些准则在考虑个体差异时受到限制。在这里,我们根据轴突水分数(ƒ)这种反映轴突口径和密度的弥散指标,提出了一种针对特定受试者、以微观结构为依据的胼胝体划分新方法。我们利用多壳弥散核磁共振成像对人类连接组项目数据集中的 30 名健康受试者进行了研究。生物物理参数 ƒ 是通过特定区室 WM 建模得出的。我们确定了CC上ƒ发生凹陷变化的拐点,以划分胼胝体亚区域。我们观察到,在已知由较多小直径纤维组成的前部和后部区域,ƒ相对较高,而在已知由较多大直径纤维组成的CC体后部区域,ƒ相对较低。根据沿胼胝体的ƒ变化程度,每个个体都能一致地划分出七个胼胝体亚区。因此,这种方法以特定对象的方式提供了微观结构上的胼胝体划分信息,从而可以对胼胝体进行更准确的分析。
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来源期刊
Brain Structure & Function
Brain Structure & Function 医学-解剖学与形态学
CiteScore
6.00
自引率
6.50%
发文量
168
审稿时长
8 months
期刊介绍: Brain Structure & Function publishes research that provides insight into brain structure−function relationships. Studies published here integrate data spanning from molecular, cellular, developmental, and systems architecture to the neuroanatomy of behavior and cognitive functions. Manuscripts with focus on the spinal cord or the peripheral nervous system are not accepted for publication. Manuscripts with focus on diseases, animal models of diseases, or disease-related mechanisms are only considered for publication, if the findings provide novel insight into the organization and mechanisms of normal brain structure and function.
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