全脑白质弥散MRI束状图和阈上纤维簇统计的性别差异研究。

Fan Zhang, Jarrett Rushmore, Yijie Li, Suheyla Cetin-Karayumak, Yang Song, Weidong Cai, Carl-Fredrik Westin, James J Levitt, Nikos Makris, Yogesh Rathi, Lauren J O'Donnell
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引用次数: 0

摘要

性别特征显示了对人类大脑白质的重大影响,这表明女性和男性之间的大脑结构连接模式不同。弥散磁共振成像(dMRI)是评估不同人群白质连通性和脑组织微观结构的重要工具。由于大量的脑白质连接,使用dMRI束状图进行全脑白质分析进行组间统计比较是一项具有挑战性的任务。在这项工作中,我们研究了全脑白质连接的差异在女性和男性使用dMRI束状图。我们研究了707名来自人类连接组项目年轻人数据集的健康成人受试者。通过应用完善的纤维簇簇管道和阈上纤维簇簇统计方法,我们评估了大脑皮层中的束,以及连接小脑等区域的束,这些束束在dMRI束束造影中研究相对较少。我们确定了几个在分数各向异性和/或平均扩散率方面在女性和男性之间存在显著差异的束。这些包括几个深白质束(如弓状束、皮质脊髓束和胼胝体),这些先前已被证明具有性别差异,以及额叶的浅白质束。然而,相对较少的皮质关联束表现出显著的性别差异。我们还发现了性别差异的小脑束。最后,相关分析显示,这些白质差异与一系列神经行为测量有关,其中最强烈、最一致的关联与运动功能有关。总的来说,这些发现提供了白质性别差异的特征,并表明运动功能背后的电路可能是未来研究人类大脑性别差异的重要焦点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Study of Sex Differences in the Whole Brain White Matter Using Diffusion MRI Tractography and Suprathreshold Fiber Cluster Statistics.

Study of Sex Differences in the Whole Brain White Matter Using Diffusion MRI Tractography and Suprathreshold Fiber Cluster Statistics.

Study of Sex Differences in the Whole Brain White Matter Using Diffusion MRI Tractography and Suprathreshold Fiber Cluster Statistics.

Sex-specific characteristics demonstrate a substantial influence on the human brain white matter, suggesting distinct brain structural connectivity patterns between females and males. Diffusion MRI (dMRI) tractography is an important tool in assessing white matter connectivity and brain tissue microstructure across different populations. Whole brain white matter analysis using dMRI tractography for group statistical comparison is a challenging task due to the large number of white matter connections. In this work, we study whole-brain white matter connectivity differences between females and males using dMRI tractography. We study a large cohort of 707 healthy adult subjects from the Human Connectome Project Young Adult dataset. By applying a well-established fiber clustering pipeline and a suprathreshold fiber cluster statistical method, we evaluated tracts in the cerebral cortex, as well as those connecting to regions such as the cerebellum, which have been relatively less studied using dMRI tractography. We identified several tracts that differed significantly between females and males in terms of their fractional anisotropy and/or mean diffusivity. These included several deep white matter tracts (e.g., arcuate fasciculus, corticospinal tract, and corpus callosum) that have been previously shown to have sex differences, as well as superficial white matter tracts in the frontal lobe. However, there were relatively few cortical association tracts that exhibited significant sex differences. We also identified cerebellar tracts with sex differences. Finally, correlation analysis revealed that these white matter differences were linked to a range of neurobehavioral measures, with the strongest and most consistent associations observed for motor function. Overall, these findings provide characterizations of sex differences in the white matter and indicate that the circuits underlying motor function may be an important focus of future work on sex differences in the human brain.

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