A Hierarchical Method for Whole-Brain Connectivity-Based Parcellation
A Hierarchical Method for Whole-Brain Connectivity-Based Parcellation
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DOI：
10.1002/hbm.22528
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发表时间：
2014-10-01
影响因子：
4.8
通讯作者：
Knoesche, Thomas R.
中科院分区：
文献类型：
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作者：
Moreno-Dominguez, David;Anwander, Alfred;Knoesche, Thomas R.
在现代神经科学中，人们普遍认为大脑功能依赖于网络，因此连通性对大脑功能至关重要。因此，基于扩散磁共振成像（dMRI）和纤维束成像的功能性脑区的描绘可能导致高度相关的脑地图。现有方法通常旨在找到预定义数量的区域和/或限于灰质的小区域。然而，一般来说，将大脑划分为有限数量的区域的单个分区不太可能充分代表大脑的功能解剖组织。在这项工作中，我们提出了层次聚类作为一种解决方案，以克服这些限制，实现全脑分割。我们证明，这种方法编码的信息的底层结构在所有粒度级别的层次树或树状图。我们开发了一个最佳的树构建和处理管道，以最小的信息损失降低了树的复杂性。我们展示了如何使用这些树来比较不同的主题或录音的相似性结构，以及如何从中提取包裹。我们的新方法产生了一个更详尽的表示真实的底层结构，并成功地解决了全脑包裹的挑战。《脑地图》35：5000-5025，2014年。(c)2014 Wiley Periodicals，Inc.
In modern neuroscience there is general agreement that brain function relies on networks and that connectivity is therefore of paramount importance for brain function. Accordingly, the delineation of functional brain areas on the basis of diffusion magnetic resonance imaging (dMRI) and tractography may lead to highly relevant brain maps. Existing methods typically aim to find a predefined number of areas and/or are limited to small regions of grey matter. However, it is in general not likely that a single parcellation dividing the brain into a finite number of areas is an adequate representation of the function-anatomical organization of the brain. In this work, we propose hierarchical clustering as a solution to overcome these limitations and achieve whole-brain parcellation. We demonstrate that this method encodes the information of the underlying structure at all granularity levels in a hierarchical tree or dendrogram. We develop an optimal tree building and processing pipeline that reduces the complexity of the tree with minimal information loss. We show how these trees can be used to compare the similarity structure of different subjects or recordings and how to extract parcellations from them. Our novel approach yields a more exhaustive representation of the real underlying structure and successfully tackles the challenge of whole-brain parcellation. Hum Brain Mapp 35:5000-5025, 2014. (c) 2014 Wiley Periodicals, Inc.