A computational model of shared fine-scale structure in the human connectome
A computational model of shared fine-scale structure in the human connectome
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DOI：
10.1371/journal.pcbi.1006120
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发表时间：
2018-04-01
影响因子：
4.3
通讯作者：
Haxby, James, V
中科院分区：
文献类型：
--
作者：
Guntupalli, J. Swaroop;Ma Feilong;Haxby, James, V
皮层连通性特征的变化通常被建模为具有粗糙的空间尺度，被分割成相互连接的大脑区域。我们创建了一个人类连接组的高维通用模型，以寻找大脑共享的精细结构。将个体连接数据投射到这个新的公共模型连接组中，比以前的模型在人类连接组中解释了更多的差异。这种新发现的共享结构与信息表示的精细尺度差异密切相关。这些结果揭示了一种共享的精细结构，它是人类连接组的主要组成部分，与粗尺度的区域结构共存。这种共享的精细结构在以前的模型中没有被捕获，因此无法进行分析和研究。
Variation in cortical connectivity profiles is typically modeled as having a coarse spatial scale parcellated into interconnected brain areas. We created a high-dimensional common model of the human connectome to search for fine-scale structure that is shared across brains. Projecting individual connectivity data into this new common model connectome accounts for substantially more variance in the human connectome than do previous models. This newly discovered shared structure is closely related to fine-scale distinctions in representations of information. These results reveal a shared fine-scale structure that is a major component of the human connectome that coexists with coarse-scale, areal structure. This shared fine-scale structure was not captured in previous models and was, therefore, inaccessible to analysis and study.