Departamento de Física, Facultad de Cs. Exactas y Naturales, Universidad de Buenos Aires, Av. Cantilo s/n, Pabellón 1, Ciudad Universitaria, 1428, Buenos Aires, Argentina.
Instituto de Física de Buenos Aires (IFIBA), CONICET, Av Cantilo s/n, Pabellón 1, Ciudad Universitaria, 1428, Buenos Aires, Argentina.
Sci Rep. 2017 Jul 19;7(1):5908. doi: 10.1038/s41598-017-06389-4.
Human brain dynamics and functional connectivity fluctuate over a range of temporal scales in coordination with internal states and environmental demands. However, the neurobiological significance and consequences of functional connectivity dynamics during rest have not yet been established. We show that the coarse-grained clustering of whole-brain dynamic connectivity measured with magnetic resonance imaging reveals discrete patterns (dynamic connectivity states) associated with wakefulness and sleep. We validate this using EEG in healthy subjects and patients with narcolepsy and by matching our results with previous findings in a large collaborative database. We also show that drowsiness may account for previous reports of metastable connectivity states associated with different levels of functional integration. This implies that future studies of transient functional connectivity must independently monitor wakefulness. We conclude that a possible neurobiological significance of dynamic connectivity states, computed at a sufficiently coarse temporal scale, is that of fluctuations in wakefulness.
人类大脑的动力学和功能连接在协调内部状态和环境需求的过程中,会在一系列时间尺度上波动。然而,在休息期间功能连接动力学的神经生物学意义和后果尚未确定。我们表明,使用磁共振成像测量的全脑动态连接的粗粒聚类揭示了与清醒和睡眠相关的离散模式(动态连接状态)。我们在健康受试者和发作性睡病患者中使用 EEG 进行了验证,并将我们的结果与大型合作数据库中的先前发现进行了匹配。我们还表明,嗜睡可能解释了先前与不同功能整合水平相关的亚稳态连接状态的报告。这意味着未来对瞬态功能连接的研究必须独立监测清醒状态。我们的结论是,在足够粗的时间尺度上计算出的动态连接状态的一个可能的神经生物学意义是清醒度的波动。