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猴子运动皮层静息态尖峰活动的复杂性

On the Complexity of Resting State Spiking Activity in Monkey Motor Cortex.

作者信息

Dąbrowska Paulina Anna, Voges Nicole, von Papen Michael, Ito Junji, Dahmen David, Riehle Alexa, Brochier Thomas, Grün Sonja

机构信息

Institute of Neuroscience and Medicine (INM-6 and INM-10) and Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich 52425, Germany.

RWTH Aachen University, Aachen 52062, Germany.

出版信息

Cereb Cortex Commun. 2021 May 18;2(3):tgab033. doi: 10.1093/texcom/tgab033. eCollection 2021.

DOI:10.1093/texcom/tgab033
PMID:34296183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8271144/
Abstract

Resting state has been established as a classical paradigm of brain activity studies, mostly based on large-scale measurements such as functional magnetic resonance imaging or magneto- and electroencephalography. This term typically refers to a behavioral state characterized by the absence of any task or stimuli. The corresponding neuronal activity is often called idle or ongoing. Numerous modeling studies on spiking neural networks claim to mimic such idle states, but compare their results with task- or stimulus-driven experiments, or to results from experiments with anesthetized subjects. Both approaches might lead to misleading conclusions. To provide a proper basis for comparing physiological and simulated network dynamics, we characterize simultaneously recorded single neurons' spiking activity in monkey motor cortex at rest and show the differences from spontaneous and task- or stimulus-induced movement conditions. We also distinguish between rest with open eyes and sleepy rest with eyes closed. The resting state with open eyes shows a significantly higher dimensionality, reduced firing rates, and less balance between population level excitation and inhibition than behavior-related states.

摘要

静息状态已被确立为大脑活动研究的经典范式,主要基于功能磁共振成像或磁振造影和脑电图等大规模测量手段。这个术语通常指的是一种没有任何任务或刺激的行为状态。相应的神经元活动通常被称为闲置或持续活动。许多关于脉冲神经网络的建模研究声称能够模拟这种闲置状态,但它们将结果与任务或刺激驱动的实验进行比较,或者与麻醉受试者的实验结果进行比较。这两种方法都可能导致误导性结论。为了提供一个比较生理和模拟网络动力学的合适基础,我们对猴子运动皮层在静息状态下同时记录的单个神经元的脉冲活动进行了表征,并展示了其与自发以及任务或刺激诱发的运动状态的差异。我们还区分了睁眼静息和闭眼困倦静息。睁眼静息状态显示出维度显著更高、放电率降低,并且群体水平的兴奋和抑制之间的平衡比与行为相关的状态更少。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae97/8271144/17a5e1e90658/tgab033f9.jpg
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