Functional Neuroimaging Lab, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems, Rovereto, Italy.
Center for the Developing Brain. Child Mind Institute, New York, NY, USA.
Nat Commun. 2024 Oct 2;15(1):8518. doi: 10.1038/s41467-024-52721-8.
Evolutionarily relevant networks have been previously described in several mammalian species using time-averaged analyses of fMRI time-series. However, fMRI network activity is highly dynamic and continually evolves over timescales of seconds. Whether the dynamic organization of resting-state fMRI network activity is conserved across mammalian species remains unclear. Using frame-wise clustering of fMRI time-series, we find that intrinsic fMRI network dynamics in awake male macaques and humans is characterized by recurrent transitions between a set of 4 dominant, neuroanatomically homologous fMRI coactivation modes (C-modes), three of which are also plausibly represented in the male rodent brain. Importantly, in all species C-modes exhibit species-invariant dynamic features, including preferred occurrence at specific phases of fMRI global signal fluctuations, and a state transition structure compatible with infraslow coupled oscillator dynamics. Moreover, dominant C-mode occurrence reconstitutes the static organization of the fMRI connectome in all species, and is predictive of ranking of corresponding fMRI connectivity gradients. These results reveal a set of species-invariant principles underlying the dynamic organization of fMRI networks in mammalian species, and offer novel opportunities to relate fMRI network findings across the phylogenetic tree.
先前已经有研究使用 fMRI 时间序列的时间平均分析,在几种哺乳动物物种中描述了与进化相关的网络。然而,fMRI 网络活动具有高度动态性,并在秒级的时间尺度上不断演变。静息态 fMRI 网络活动的动态组织是否在哺乳动物物种中具有保守性尚不清楚。使用 fMRI 时间序列的逐帧聚类,我们发现清醒雄性猕猴和人类的内在 fMRI 网络动态特征是以一组 4 种主要的、神经解剖同源 fMRI 共激活模式(C 模式)之间的反复转换为特征,其中三种模式也可能存在于雄性啮齿动物的大脑中。重要的是,在所有物种中,C 模式都表现出物种不变的动态特征,包括在 fMRI 全局信号波动的特定相位更频繁地出现,以及与亚慢耦合振荡器动力学兼容的状态转换结构。此外,主要 C 模式的出现再现了所有物种中 fMRI 连接组的静态组织,并可预测相应 fMRI 连接梯度的排序。这些结果揭示了哺乳动物物种中 fMRI 网络动态组织的一组物种不变的原则,并为在系统发育树上关联 fMRI 网络研究提供了新的机会。