Meier Jil, Tewarie Prejaas, Hillebrand Arjan, Douw Linda, van Dijk Bob W, Stufflebeam Steven M, Van Mieghem Piet
1 Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology , The Netherlands .
2 Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center , Amsterdam, The Netherlands .
Brain Connect. 2016 May;6(4):298-311. doi: 10.1089/brain.2015.0408. Epub 2016 Mar 29.
The relationship between structural and functional brain networks is still highly debated. Most previous studies have used a single functional imaging modality to analyze this relationship. In this work, we use multimodal data, from functional MRI, magnetoencephalography, and diffusion tensor imaging, and assume that there exists a mapping between the connectivity matrices of the resting-state functional and structural networks. We investigate this mapping employing group averaged as well as individual data. We indeed find a significantly high goodness of fit level for this structure-function mapping. Our analysis suggests that a functional connection is shaped by all walks up to the diameter in the structural network in both modality cases. When analyzing the inverse mapping, from function to structure, longer walks in the functional network also seem to possess minor influence on the structural connection strengths. Even though similar overall properties for the structure-function mapping are found for different functional modalities, our results indicate that the structure-function relationship is modality dependent.
大脑结构网络与功能网络之间的关系仍存在激烈争论。此前大多数研究都使用单一的功能成像方式来分析这种关系。在这项工作中，我们使用了来自功能磁共振成像、脑磁图和扩散张量成像的多模态数据，并假设静息态功能网络和结构网络的连通性矩阵之间存在一种映射关系。我们采用组平均数据以及个体数据来研究这种映射关系。我们确实发现这种结构 - 功能映射的拟合优度水平显著较高。我们的分析表明，在两种模态情况下，功能连接都是由结构网络中直至直径的所有路径塑造的。在分析从功能到结构的逆映射时，功能网络中较长的路径似乎对结构连接强度也有较小影响。尽管针对不同功能模态发现了结构 - 功能映射的相似总体属性，但我们的结果表明结构 - 功能关系是依赖于模态的。
