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1
How do the brain's time and space mediate consciousness and its different dimensions? Temporo-spatial theory of consciousness (TTC).大脑的时间和空间如何介导意识及其不同维度?意识的时空理论(TTC)。
Neurosci Biobehav Rev. 2017 Sep;80:630-645. doi: 10.1016/j.neubiorev.2017.07.013. Epub 2017 Jul 28.
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Contrasting variability patterns in the default mode and sensorimotor networks balance in bipolar depression and mania.双相抑郁和躁狂中默认模式网络与感觉运动网络平衡的对比性变异性模式
Proc Natl Acad Sci U S A. 2016 Apr 26;113(17):4824-9. doi: 10.1073/pnas.1517558113. Epub 2016 Apr 11.
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Large-scale signatures of unconsciousness are consistent with a departure from critical dynamics.无意识状态的大规模特征与偏离临界动力学相一致。
J R Soc Interface. 2016 Jan;13(114):20151027. doi: 10.1098/rsif.2015.1027.
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Is There a Nonadditive Interaction Between Spontaneous and Evoked Activity? Phase-Dependence and Its Relation to the Temporal Structure of Scale-Free Brain Activity.自发活动与诱发活动之间是否存在非加性相互作用?相位依赖性及其与无标度脑活动时间结构的关系。
Cereb Cortex. 2017 Feb 1;27(2):1037-1059. doi: 10.1093/cercor/bhv288.
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A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex.灵长类皮层中分层动态处理的大规模电路机制
Neuron. 2015 Oct 21;88(2):419-31. doi: 10.1016/j.neuron.2015.09.008. Epub 2015 Oct 1.
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Decoupled temporal variability and signal synchronization of spontaneous brain activity in loss of consciousness: An fMRI study in anesthesia.意识丧失时自发脑活动的时间变异性与信号同步性解耦:一项麻醉状态下的功能磁共振成像研究
Neuroimage. 2016 Jan 1;124(Pt A):693-703. doi: 10.1016/j.neuroimage.2015.08.062. Epub 2015 Sep 4.
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Why is the distinction between neural predispositions, prerequisites, and correlates of the level of consciousness clinically relevant?: Functional brain imaging in coma and vegetative state.为什么神经易感性、先决条件以及意识水平的相关因素之间的区别具有临床相关性?:昏迷和植物状态下的功能性脑成像。
Stroke. 2015 Apr;46(4):1147-51. doi: 10.1161/STROKEAHA.114.007969. Epub 2015 Feb 10.
8
A hierarchy of intrinsic timescales across primate cortex.灵长类皮层的固有时间尺度层次结构。
Nat Neurosci. 2014 Dec;17(12):1661-3. doi: 10.1038/nn.3862. Epub 2014 Nov 10.
9
Brain scale-free properties in awake rest and NREM sleep: a simultaneous EEG/fMRI study.清醒静息和非快速眼动睡眠状态下大脑的无标度特性:一项脑电图/功能磁共振成像同步研究
Brain Topogr. 2015 Mar;28(2):292-304. doi: 10.1007/s10548-014-0399-x. Epub 2014 Sep 30.
10
Altered temporal variance and neural synchronization of spontaneous brain activity in anesthesia.麻醉状态下自发脑活动的时间方差和神经同步性改变。
Hum Brain Mapp. 2014 Nov;35(11):5368-78. doi: 10.1002/hbm.22556. Epub 2014 May 28.

全麻状态下自发脑活动的时空组织崩溃。

Breakdown in the temporal and spatial organization of spontaneous brain activity during general anesthesia.

机构信息

Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, 311121, People's Republic of China.

Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, 311121, People's Republic of China.

出版信息

Hum Brain Mapp. 2018 May;39(5):2035-2046. doi: 10.1002/hbm.23984. Epub 2018 Jan 28.

DOI:10.1002/hbm.23984
PMID:29377435
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6866328/
Abstract

Which temporal features that can characterize different brain states (i.e., consciousness or unconsciousness) is a fundamental question in the neuroscience of consciousness. Using resting-state functional magnetic resonance imaging (rs-fMRI), we investigated the spatial patterns of two temporal features: the long-range temporal correlations (LRTCs), measured by power-law exponent (PLE), and temporal variability, measured by standard deviation (SD) during wakefulness and anesthetic-induced unconsciousness. We found that both PLE and SD showed global reductions across the whole brain during anesthetic state comparing to wakefulness. Importantly, the relationship between PLE and SD was altered in anesthetic state, in terms of a spatial "decoupling." This decoupling was mainly driven by a spatial pattern alteration of the PLE, rather than the SD, in the anesthetic state. Our results suggest differential physiological grounds of PLE and SD and highlight the functional importance of the topographical organization of LRTCs in maintaining an optimal spatiotemporal configuration of the neural dynamics during normal level of consciousness. The central role of the spatial distribution of LRTCs, reflecting temporo-spatial nestedness, may support the recently introduced temporo-spatial theory of consciousness (TTC).

摘要

哪些时间特征可以表征不同的大脑状态(即意识或无意识),是意识神经科学中的一个基本问题。本研究使用静息态功能磁共振成像(rs-fMRI),在清醒和麻醉诱导无意识状态下,研究了两个时间特征的空间模式:长程时间相关性(LRTCs),由幂律指数(PLE)测量;以及时间变异性,由标准差(SD)测量。结果发现,与清醒状态相比,麻醉状态下整个大脑的 PLE 和 SD 均表现出全局降低。重要的是,PLE 和 SD 之间的关系在麻醉状态下发生了改变,表现为空间“解耦”。这种解耦主要是由麻醉状态下 PLE 的空间模式改变驱动的,而不是 SD。我们的结果表明 PLE 和 SD 的生理基础不同,并强调了 LRTCs 的拓扑组织在维持正常意识水平下神经动力学的最优时空配置方面的功能重要性。LRTCs 的空间分布反映了时间-空间嵌套性,可能支持最近提出的意识的时间-空间理论(TTC)。