McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC, Canada.
Psychological and Brain Sciences, Program in Neuroscience, Cognitive Science Program, Network Science Institute, Indiana University, Bloomington, IN, USA.
Trends Cogn Sci. 2020 Apr;24(4):302-315. doi: 10.1016/j.tics.2020.01.008. Epub 2020 Feb 24.
Structure-function relationships are a fundamental principle of many naturally occurring systems. However, network neuroscience research suggests that there is an imperfect link between structural connectivity and functional connectivity in the brain. Here, we synthesize the current state of knowledge linking structure and function in macroscale brain networks and discuss the different types of models used to assess this relationship. We argue that current models do not include the requisite biological detail to completely predict function. Structural network reconstructions enriched with local molecular and cellular metadata, in concert with more nuanced representations of functions and properties, hold great potential for a truly multiscale understanding of the structure-function relationship.
结构-功能关系是许多自然发生的系统的基本原则。然而，网络神经科学研究表明，大脑中的结构连接和功能连接之间存在着不完美的联系。在这里，我们综合了当前连接宏观大脑网络中的结构和功能的知识状态，并讨论了用于评估这种关系的不同类型的模型。我们认为，当前的模型没有包含必要的生物学细节来完全预测功能。结构网络重建，加上局部分子和细胞元数据的丰富，以及更细微的功能和特性表示，为真正的多尺度理解结构-功能关系提供了巨大的潜力。
