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清醒小鼠大脑中独特的时空 fMRI 动力学。

Unique spatiotemporal fMRI dynamics in the awake mouse brain.

机构信息

Functional Neuroimaging Laboratory, Center for Neuroscience and Cognitive systems, Istituto Italiano di Tecnologia, Rovereto, Italy.

Functional Neuroimaging Laboratory, Center for Neuroscience and Cognitive systems, Istituto Italiano di Tecnologia, Rovereto, Italy; Center for Mind and Brain Sciences, University of Trento, Rovereto, Italy.

出版信息

Curr Biol. 2022 Feb 7;32(3):631-644.e6. doi: 10.1016/j.cub.2021.12.015. Epub 2022 Jan 7.

Abstract

Human imaging studies have shown that spontaneous brain activity exhibits stereotypic spatiotemporal reorganization in awake, conscious conditions with respect to minimally conscious states. However, whether and how this phenomenon can be generalized to lower mammalian species remains unclear. Leveraging a robust protocol for resting-state fMRI (rsfMRI) mapping in non-anesthetized, head-fixed mice, we investigated functional network topography and dynamic structure of spontaneous brain activity in wakeful animals. We found that rsfMRI networks in the awake state, while anatomically comparable to those observed under anesthesia, are topologically configured to maximize interregional communication, departing from the underlying community structure of the mouse axonal connectome. We further report that rsfMRI activity in wakeful animals exhibits unique spatiotemporal dynamics characterized by a state-dependent, dominant occurrence of coactivation patterns encompassing a prominent participation of arousal-related forebrain nuclei and functional anti-coordination between visual-auditory and polymodal cortical areas. We finally show that rsfMRI dynamics in awake mice exhibits a stereotypical temporal structure, in which state-dominant coactivation patterns are configured as network attractors. These findings suggest that spontaneous brain activity in awake mice is critically shaped by state-specific involvement of basal forebrain arousal systems and document that its dynamic structure recapitulates distinctive, evolutionarily relevant principles that are predictive of conscious states in higher mammalian species.

摘要

人类影像学研究表明,在清醒、有意识的状态下,自发脑活动相对于最小意识状态表现出刻板的时空重新组织。然而,这种现象是否以及如何能够推广到较低等的哺乳动物物种尚不清楚。利用一种在非麻醉、头部固定的小鼠中进行静息态功能磁共振成像(rsfMRI)映射的稳健方案,我们研究了清醒动物自发脑活动的功能网络拓扑结构和动态结构。我们发现,清醒状态下的 rsfMRI 网络虽然在解剖上与麻醉状态下观察到的网络相似,但在拓扑上被配置为最大限度地增加区域间的通讯,与小鼠轴突连接组的基础社区结构不同。我们进一步报告称,清醒动物的 rsfMRI 活动表现出独特的时空动力学特征,表现为状态依赖性、主导性的共激活模式出现,这些模式突出了与觉醒相关的前脑核团的参与,以及视觉-听觉和多模态皮质区域之间的功能拮抗。我们最后表明,清醒小鼠的 rsfMRI 动力学表现出一种刻板的时间结构,其中状态主导的共激活模式被配置为网络吸引子。这些发现表明,清醒小鼠的自发脑活动受到基底前脑觉醒系统的特定状态参与的严重影响,并证明其动态结构再现了独特的、与进化相关的原则,这些原则可预测较高等哺乳动物物种的意识状态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763b/8837277/d85d8acf5bcf/fx1.jpg

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