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从清醒到睡眠过渡时大脑功能网络结构的调制。

Modulation of the brain's functional network architecture in the transition from wake to sleep.

机构信息

Neuroimaging Laboratory, Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA.

出版信息

Prog Brain Res. 2011;193:277-94. doi: 10.1016/B978-0-444-53839-0.00018-1.

Abstract

The transition from quiet wakeful rest to sleep represents a period over which attention to the external environment fades. Neuroimaging methodologies have provided much information on the shift in neural activity patterns in sleep, but the dynamic restructuring of human brain networks in the transitional period from wake to sleep remains poorly understood. Analysis of electrophysiological measures and functional network connectivity of these early transitional states shows subtle shifts in network architecture that are consistent with reduced external attentiveness and increased internal and self-referential processing. Further, descent to sleep is accompanied by the loss of connectivity in anterior and posterior portions of the default-mode network and more locally organized global network architecture. These data clarify the complex and dynamic nature of the transitional period between wake and sleep and suggest the need for more studies investigating the dynamics of these processes.

摘要

从安静的清醒休息过渡到睡眠代表了一个注意力逐渐从外部环境中消失的时期。神经影像学方法提供了大量关于睡眠中神经活动模式转变的信息,但人类大脑网络在从清醒到睡眠的过渡期间的动态重构仍知之甚少。对这些早期过渡状态的电生理测量和功能网络连接的分析显示,网络结构有细微的变化,这与对外在注意力的降低以及对内在和自我参照处理的增加一致。此外,进入睡眠状态伴随着默认模式网络的前侧和后侧连接的丧失,以及更局部组织的全局网络结构。这些数据阐明了清醒和睡眠之间过渡时期的复杂和动态性质,并表明需要更多的研究来调查这些过程的动态。

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