In their recent Review, Fotiadis and colleagues expertly summarized recent research on structure–function coupling (SFC), a neural marker representing the correspondence between structural and functional neural connections (Fotiadis, P. et al. Structure–function coupling in macroscale human brain networks. Nat. Rev. Neurosci. 25, 688–704; 2024)¹. They outlined how this marker is important for understanding ageing and neurological and psychiatric disorders, providing an invaluable resource for researchers interested in SFC. The authors identified that most studies calculate macroscale SFC by correlating structural connectivity (SC) and functional connectivity (FC) matrices. They also highlighted several methodological considerations; however, we think that there is a critical issue with SFC calculation from SC and FC that was not mentioned in this Review. Given the growing interest in this marker, we hope to highlight this issue alongside this trailblazing Review, to improve research on SFC moving forward.

在他们最近的综述中，Fotiadis 及其同事专业地总结了关于结构-功能耦合 （SFC） 的最新研究，SFC 是一种代表结构和功能神经连接之间对应关系的神经标志物 （Fotiadis， P. et al. 宏观人脑网络中的结构-功能耦合。Nat. Rev. 神经科学。25， 688–704;2024）¹.他们概述了这种标志物对于理解衰老以及神经和精神疾病的重要性，为对 SFC 感兴趣的研究人员提供了宝贵的资源。作者发现，大多数研究通过关联结构连接 （SC） 和功能连接 （FC） 矩阵来计算宏观尺度 SFC。他们还强调了几个方法论上的考虑;然而，我们认为 SFC 从 SC 和 FC 计算存在一个关键问题，该问题在本审查中没有提及。鉴于人们对这一指标的兴趣日益浓厚，我们希望在这份开创性的综述中强调这个问题，以改进对 SFC 的研究。