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静息态大脑波动与视觉响应动力学内在耦合。

Resting Brain Fluctuations Are Intrinsically Coupled to Visual Response Dynamics.

机构信息

Department of Pharmaceutical, Veterinary and Biomedical Sciences, University of Antwerp, 2610 Antwerp, Belgium.

Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA.

出版信息

Cereb Cortex. 2021 Feb 5;31(3):1511-1522. doi: 10.1093/cercor/bhaa305.

Abstract

How do intrinsic brain dynamics interact with processing of external sensory stimuli? We sought new insights using functional magnetic resonance imaging to track spatiotemporal activity patterns at the whole brain level in lightly anesthetized mice, during both resting conditions and visual stimulation trials. Our results provide evidence that quasiperiodic patterns (QPPs) are the most prominent component of mouse resting brain dynamics. These QPPs captured the temporal alignment of anticorrelation between the default mode (DMN)- and task-positive (TPN)-like networks, with global brain fluctuations, and activity in neuromodulatory nuclei of the reticular formation. Specifically, the phase of QPPs prior to stimulation could significantly stratify subsequent visual response magnitude, suggesting QPPs relate to brain state fluctuations. This is the first observation in mice that dynamics of the DMN- and TPN-like networks, and particularly their anticorrelation, capture a brain state dynamic that affects sensory processing. Interestingly, QPPs also displayed transient onset response properties during visual stimulation, which covaried with deactivations in the reticular formation. We conclude that QPPs appear to capture a brain state fluctuation that may be orchestrated through neuromodulation. Our findings provide new frontiers to understand the neural processes that shape functional brain states and modulate sensory input processing.

摘要

内在大脑动力学如何与外部感觉刺激的处理相互作用?我们使用功能磁共振成像来追踪轻度麻醉小鼠在休息状态和视觉刺激试验期间整个大脑水平的时空活动模式,以寻求新的见解。我们的结果提供了证据,表明准周期模式 (QPP) 是小鼠静息大脑动力学的最突出组成部分。这些 QPP 捕获了默认模式 (DMN) 和任务正性 (TPN) 样网络之间的去相关的时间对准,与全局大脑波动以及网状结构的神经调节核团的活动有关。具体来说,刺激前 QPP 的相位可以显著分层随后的视觉反应幅度,表明 QPP 与大脑状态波动有关。这是在小鼠中首次观察到 DMN 和 TPN 样网络的动力学,特别是它们的去相关性,捕捉到影响感觉处理的大脑状态动态。有趣的是,QPP 在视觉刺激期间也表现出短暂的起始反应特性,与网状结构的去激活相关。我们得出的结论是,QPP 似乎捕捉到了一种可能通过神经调节来协调的大脑状态波动。我们的发现为理解塑造功能大脑状态和调节感觉输入处理的神经过程提供了新的前沿。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34b1/7869084/75e00c34869b/bhaa305f1.jpg

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