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Updated: Jan 13, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

详细的连接原子集群资源用于从超高场扩散MRI绘制白质映射

Hiuying Yip¹, Yifei He¹, Yu Xie¹

¹School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China.

|January 9, 2026

概括

这项研究引入了一种新的纤维集群白质路径图谱,包括表面和小脑区域,使用高分辨率MRI数据. 该地图揭示了已知的区域的详细细分,并确定了新的U纤维,增强了大脑连接学研究.

科学领域:

神经成像是一种神经成像.
人类大脑解剖学人类大脑解剖学
在Connectomics上,我们提供了连接.

背景情况:

现有的白质地图在表面和小脑区域缺乏细节.
大规模的大脑绘制需要更全面的解剖学资源.

研究的目的:

开发一个数据驱动的白质纤维集群地图,包括未经探索的区域.
提高对大脑连接和结构功能关系的理解.

主要方法:

利用了171名人类连接体项目参与者的超高场7T结构和扩散MRI数据.
使用多组织纤维定向分散函数和来自多个算法的聚合数据构建全脑通道图.
应用的cosine k-means集群和共识过,以分组连接皮层和皮层下区域的流线.

主要成果:

创建了一个拥有33,256个 (7网络) 和65,184个 (17网络) 星团的地图集,涵盖深层和表面白质.
在个体和种群群集之间实现了97%以上的重叠,平均戴维斯-博尔丁分数低于0.35,表明高可重复性.
细分了古典通道 (例如,弧形囊,皮质脊髓) 并确定了以前未被描述的U-纤维.

结论:

开发的地图集为白质路径提供了详细的,数据驱动的资源,特别是在表面和小脑区域.
这个开放式的地图库支持结构功能关系,算法基准和精确连接学方面的研究.
亚特拉斯的高可复制性和解剖紧性推进了神经成像分析.

关键词:

大脑图书馆大脑图书馆扩散式核磁共振成像 (MRI)曲谱学曲谱学曲谱学曲谱学白质是白质的组成部分.

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