Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States of America.
Center for Cognitive Neuroscience, Dartmouth College, Hanover, NH, United States of America.
PLoS Comput Biol. 2018 Apr 17;14(4):e1006120. doi: 10.1371/journal.pcbi.1006120. eCollection 2018 Apr.
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.
皮质连接模式的变化通常被建模为具有粗糙的空间尺度，分割为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，以寻找在大脑之间共享的精细结构。将个体连接数据投影到这个新的通用模型连接组中，可以解释人类连接组中比以前的模型更多的方差。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，它是人类连接组的一个主要组成部分，与粗尺度、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捉到，因此无法进行分析和研究。
