估计纤维导向分布与应用研究大脑侧面化使用HCP D-MRI数据.
Seungyong Hwang1,2, Thomas C M Lee1, Debashis Paul1
1Department of Statistics, University of California, Davis.
The annals of applied statistics
|May 9, 2025
概括
这项研究引入了扩散权重MRI的区块wiseJames-Stein (BJS) 估计器,揭示了右撇子和左撇子个体之间高级纵向 (SLF) 大脑横向化的显著差异.
科学领域:
- 神经成像是一种神经成像.
- 计算神经科学是一种神经科学.
- 生物物理学的生物物理.
背景情况:
- 扩散权重磁共振成像 (D-MRI) 不侵入性地表征组织微观结构.
- 白物质纤维管道的重建是D-MRI的关键应用,估计水扩散以推断纤维方向.
- 纤维定向分布 (FOD) 函数模型的voxel级方向信息.
研究的目的:
- 提出一个计算可扩展的FOD估计器,即区块式詹姆斯-斯坦 (BJS) 估计器.
- 通过使用D-MRI数据调查上方纵向 (SLF) 的横向化与手性之间的关联.
- 量化SLF的半球不对称性及其与手性关系.
主要方法:
- 开发并应用了基于D-MRI数据进行FOD估计的BlockwiseJames-Stein (BJS) 估计器.
- 利用了人类结合体项目 (HCP) 的D-MRI数据进行分析.
- 使用曲谱算法重建了SLF区域,并得出了量化半球不对称性的横向化得分.
主要成果:
- 该BJS估计器被应用到HCP D-MRI数据.
- 重建了SLF区域,并为每个受试者计算了侧面化得分.
- 分析揭示了手性对SLF横向化的显著影响,这表明右手和左手个体之间的差异.
结论:
- 区块式詹姆斯-斯坦 (BJS) 估计器为D-MRI分析提供了一个可扩展的方法.
- 在右撇子和左撇子之间,SLF侧面化显著不同.
- 这一发现有助于理解大脑侧向化及其与手性关系.
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