DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection
DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection
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DOI：
10.1016/s1053-8119(03)00142-3
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发表时间：
2003-07-01
期刊：
影响因子：
5.7
通讯作者：
Meuli, R
中科院分区：
文献类型：
--
作者：
Hagmann, P;Thiran, JP;Meuli, R
已有几种方法用于从扩散MRI数据中跟踪轴突轨迹。如果这些技术最初是在确定性框架中发展起来的，将扩散信息减少到一个单一的主要方向，那么最近出现的方法本质上是统计的，并考虑到整个扩散信息。基于来自正常大脑的弥散张量MRI数据，本文介绍了如何通过随机游走算法对大脑连接进行全局建模。由此产生的大量连接随后被实际解剖以发现不同的束。皮质脊髓束，皮质球束，皮质丘脑束，胼胝体。边缘系统，几个皮质联合束，小脑梗和内侧小丘都进行了研究。结果随后以活体脑连接图谱的形式显示出来。然后将连接模式和单个纤维束与已知的解剖学数据进行比较；找到了一个很好的匹配。(C) 2003 Elsevier Science（美国）版权所有。
Several approaches have been used to trace axonal trajectories from diffusion MRI data. If such techniques were first developed in a deterministic framework reducing the diffusion information to one single main direction, more recent approaches emerged that were statistical in nature and that took into account the whole diffusion information. Based on diffusion tensor MRI data coming from normal brains, this paper presents how brain connectivity could be modelled globally by means of a random walk algorithm. The mass of connections thus generated was then virtually dissected to uncover different tracts. Corticospinal, corticobulbar, and corticothalamic tracts, the corpus callosum. the limbic system, several cortical association bundles, the cerebellar peduncles, and the medial lemniscus were all investigated. The results were then displayed in the form of an in vivo brain connectivity atlas. The connectivity pattern and the individual fibre tracts were then compared to known anatomical data; a good matching was found. (C) 2003 Elsevier Science (USA). All rights reserved.