Zimmermann J, Griffiths J, Schirner M, Ritter P, McIntosh A R
Baycrest Health Sciences, Rotman Research Institute, Toronto, Ontario, Canada.
Department of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universitët Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health.
Netw Neurosci. 2018 Oct 1;3(1):90-106. doi: 10.1162/netn_a_00055. eCollection 2019.
Structural connectivity (SC), the physical pathways connecting regions in the brain, and functional connectivity (FC), the temporal coactivations, are known to be tightly linked. However, the nature of this relationship is still not understood. In the present study, we examined this relation more closely in six separate human neuroimaging datasets with different acquisition and preprocessing methods. We show that using simple linear associations, the relation between an individual's SC and FC is not subject specific for five of the datasets. Subject specificity of SC-FC fit is achieved only for one of the six datasets, the multimodal Glasser Human Connectome Project (HCP) parcellated dataset. We show that subject specificity of SC-FC correspondence is limited across datasets due to relatively small variability between subjects in SC compared with the larger variability in FC.
结构连接性（SC），即大脑中连接各区域的物理通路，与功能连接性（FC），即时间上的共同激活，已知紧密相连。然而，这种关系的本质仍未被理解。在本研究中，我们在六个采用不同采集和预处理方法的独立人类神经影像数据集中更深入地研究了这种关系。我们发现，使用简单线性关联时，在其中五个数据集中，个体的SC和FC之间的关系并非个体特异的。仅在六个数据集中的一个，即多模态格拉斯纳人类连接组计划（HCP）的分区数据集，实现了SC-FC拟合的个体特异性。我们表明，由于与FC中较大的个体间变异性相比，SC中个体间变异性相对较小，SC-FC对应关系的个体特异性在各数据集中受到限制。
