美国埃默里大学/佐治亚理工学院Shella D. Keilholz和美国加州大学Taylor Bolt共同合作近期取得重要工作进展，他们对三种时空模式中整体功能性脑组织进行了精简描述。该研究2022年7月28日在线出版于《自然—神经科学》杂志上。

在这项研究中，研究人员试图以三种由驻波和行波动态混合组成的低频时空模式的形式来统一观察这两类现象。他们展示了一系列经验现象，包括功能连接梯度、任务正/负反相关模式、全局信号、时滞传播模式、准周期模式和功能连接组网络结构等，是这三种时空格局的表现。这些模式在很大程度上说明了作为功能连接分析基础的全球空间结构，并将以前认为不同的静止状态功能MRI现象统一起来。

据介绍，静息状态功能磁共振成像 (MRI) 对人类大脑的大规模组织产生了看似不同的见解。大脑的大规模组织可以分为两大类：功能连接结构的零滞后表征和行进波或传播结构的时滞表征。

附：英文原文

Title: A parsimonious description of global functional brain organization in three spatiotemporal patterns

Author: Bolt, Taylor, Nomi, Jason S., Bzdok, Danilo, Salas, Jorge A., Chang, Catie, Thomas Yeo, B. T., Uddin, Lucina Q., Keilholz, Shella D.

Issue&Volume: 2022-07-28

Abstract: Resting-state functional magnetic resonance imaging (MRI) has yielded seemingly disparate insights into large-scale organization of the human brain. The brain’s large-scale organization can be divided into two broad categories: zero-lag representations of functional connectivity structure and time-lag representations of traveling wave or propagation structure. In this study, we sought to unify observed phenomena across these two categories in the form of three low-frequency spatiotemporal patterns composed of a mixture of standing and traveling wave dynamics. We showed that a range of empirical phenomena, including functional connectivity gradients, the task-positive/task-negative anti-correlation pattern, the global signal, time-lag propagation patterns, the quasiperiodic pattern and the functional connectome network structure, are manifestations of these three spatiotemporal patterns. These patterns account for much of the global spatial structure that underlies functional connectivity analyses and unifies phenomena in resting-state functional MRI previously thought distinct.

DOI: 10.1038/s41593-022-01118-1

Source: https://www.nature.com/articles/s41593-022-01118-1