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相关实验视频

Updated: Jul 18, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

白物质的自动预处理管道,用于大规模数据库的功能分析.

Yurui Gao^1,2, Richard D Lawless^1,3, Muwei Li^1,4

¹Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.

Proceedings of SPIE--the International Society for Optical Engineering

|August 21, 2023

概括

我们开发了一个新的管道来分析白质 (WM) 中的功能性MRI (fMRI) 信号,揭示与神经活动相关的可靠模式. 这种工具增强了使用fMRI数据研究衰老和大脑退化.

关键词:

阿尔茨海默氏症是阿尔茨海默氏症的一种疾病.XNAT XNAT 这是一个很好的方法.衰老的衰老衰老的衰老自动预处理管道自动预处理管道休息状态 fMRI 的状态.白质的功能白质的功能

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Last Updated: Jul 18, 2025

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科学领域:

神经成像是一种神经成像.
白物质神经科学是什么意思
衰老研究研究衰老研究

背景情况:

白质 (WM) 中的功能性MRI (fMRI) 信号越来越被认为与神经活动有关.
传统的fMRI分析工具对灰色物质进行了优化,不太适合WM信号处理.
在衰老和神经退行性疾病中,WM的变化得到了充分记录.

研究的目的:

开发一条针对fMRI数据的自动化,高性能预处理管道,专门设计用于量化白质中的BOLD信号.
为了促进在老龄化人口中白质的功能性改变的调查.

主要方法:

一个自动化管道集成修改现有软件模块,用于增强提取弱WM信号.
实施使用XNAT和DAX进行高性能集群处理的分布式计算策略.
预处理了5034个fMRI/T1扫描,生成了全脑时间流程,功能连接地图和组织面具.

主要成果:

该管道证明了高可靠性,在测试-再测试实验中,类内相关系数 (ICC) 从0.52到0.86 (N=1000) 之间.
实现了与灰色物质fMRI的既定方法相提并论的预处理质量.
成功处理了5,034个fMRI/T1扫描的大量数据集.

结论:

开发的自动化预处理管道对于分析白质fMRI信号是有效的.
这一管道有助于未来研究与衰老相关的白质的功能变化.
该工具为在fMRI中研究白质的更广泛的研究社区提供了实质性的好处.