Clustering probabilistic tractograms using independent component analysis applied to the thalamus.
Clustering probabilistic tractograms using independent component analysis applied to the thalamus.
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DOI：
10.1016/j.neuroimage.2010.09.054
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发表时间：
2011-02-01
期刊：
影响因子：
5.7
通讯作者：
Richardson MP
中科院分区：
文献类型：
--
作者：
O'Muircheartaigh J;Vollmar C;Traynor C;Barker GJ;Kumari V;Symms MR;Thompson P;Duncan JS;Koepp MJ;Richardson MP
包含在扩散张量成像（DTI）的连接信息先前已被用来包裹皮质和皮质下区域的基础上，他们的连接配置文件。目前的研究的目的是调查一种新的方法，以连接为基础的parcellation丘脑使用概率纤维束成像和独立成分分析（伊卡）的效用。我们使用伊卡来识别空间相干的纤维束图以及它们的底层种子区域，在一个单一的步骤。我们将其与基于种子的纤维束成像结果进行比较，并与基于来自每个丘脑体素的主导皮质连接来分割丘脑的已建立且可靠的方法进行比较（Behrens等人，2003 a，B）。伊卡方法识别对应于已知解剖学连接的丘脑-皮质通路，以及以与基于连接性的分割在空间上类似的方式分割底层丘脑。我们相信，使用这样的多变量方法来解释由概率纤维束成像创建的复杂数据集可能比其他方法更适合于分割大脑区域。<$独立成分分析用于分割丘脑<$分割一致纤维束的有前景的技术<$独立成分与来自相同区域的纤维束一致<$独立成分与其他聚类方法一致<$多变量方法应用于分割概率纤维束
The connectivity information contained in diffusion tensor imaging (DTI) has previously been used to parcellate cortical and subcortical regions based on their connectivity profiles. The aim of the current study is to investigate the utility of a novel approach to connectivity based parcellation of the thalamus using probabilistic tractography and independent component analysis (ICA). We use ICA to identify spatially coherent tractograms as well as their underlying seed regions, in a single step. We compare this to seed-based tractography results and to an established and reliable approach to parcellating the thalamus based on the dominant cortical connection from each thalamic voxel (Behrens et al., 2003a,b). The ICA approach identifies thalamo-cortical pathways that correspond to known anatomical connections, as well as parcellating the underlying thalamus in a spatially similar way to the connectivity based parcellation. We believe that the use of such a multivariate method to interpret the complex datasets created by probabilistic tractography may be better suited than other approaches to parcellating brain regions. ► Independent component analysis used to segment the thalamus ► Promising technique to parcel out consistent fibre tracts ► Independent components consistent with tractography from the same region ► Independent components consistent with other clustering methods ► Multivariate method applied to segment probabilistic tractography
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DOI：
10.1098/rstb.2005.1634
发表时间：
2005-05-29
影响因子：
6.3
作者：
Beckmann, CF;DeLuca, M;Smith, SM
通讯作者：
Smith, SM
DOI：
10.1073/pnas.0905267106
发表时间：
2009-08-04
影响因子：
11.1
作者：
Smith, Stephen M.;Fox, Peter T.;Beckmann, Christian F.
通讯作者：
Beckmann, Christian F.
影响因子：
5.7
作者：
Beckmann, CF;Smith, SM
通讯作者：
Smith, SM
DOI：
10.1073/pnas.0403743101
发表时间：
2004-09-07
影响因子：
11.1
作者：
Johansen-Berg, H;Behrens, TEJ;Matthews, PM
通讯作者：
Matthews, PM
影响因子：
5.7
作者：
Traynor, Catherine;Heckemann, Rolf A.;Richardson, Mark P.
通讯作者：
Richardson, Mark P.