Ghosh Priyanka, Donald Kirsten A, Polanczyk Guilherme V, Rodriguez Josh Paul, Shephard Elizabeth, Gabard-Durnam Laurel J
Center for Cognitive and Brain Health, Northeastern University, Boston, MA, United States.
Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.
Imaging Neurosci (Camb). 2025 Jun 27;3. doi: 10.1162/IMAG.a.59. eCollection 2025.
Microstates, brief instances of distinct spatial topographies measured with electroencephalography (EEG), offer a novel approach to studying whole-brain network dynamics at a sub-second scale. While emerging literature is leveraging microstate dynamics in adults and children to understand mature largescale network function, the developmental trajectories of these networks during their rapid construction in infancy remain poorly understood. Magnetic resonance approaches have revealed much about largescale networks in sleep, but very little is known about functional network dynamics in awake, behaving infants. Using longitudinal resting-state EEG from 854 infants across 2 diverse cohorts, we identified conserved emergence of various network configurations (classes A-G) during the first 2 years of life via data-driven clustering analyses. Significant longitudinal changes included more frequent and rapid transitions between microstate classes, particularly in early infancy. Sensory microstates showed consistent development across cohorts, while higher-order cognitive microstates demonstrated context-specific trends. These findings reveal novel insights into the functional development and organization of largescale brain networks during this period of substantial development.
微状态是通过脑电图（EEG）测量的不同空间拓扑结构的短暂实例，为在亚秒级研究全脑网络动力学提供了一种新方法。虽然新兴文献正在利用成人和儿童的微状态动力学来理解成熟的大规模网络功能，但这些网络在婴儿期快速构建过程中的发育轨迹仍知之甚少。磁共振方法已经揭示了很多关于睡眠中大规模网络的信息，但对于清醒、活动的婴儿的功能网络动力学却知之甚少。我们使用来自两个不同队列的854名婴儿的纵向静息态脑电图，通过数据驱动的聚类分析，确定了生命最初两年中各种网络配置（A - G类）的保守出现情况。显著的纵向变化包括微状态类别之间更频繁、快速的转换，特别是在婴儿早期。感觉微状态在各队列中显示出一致的发展，而高阶认知微状态则表现出特定情境的趋势。这些发现揭示了在此大量发育时期大规模脑网络功能发育和组织的新见解。
