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间歇性神经同步的潜在机制与功能

Potential Mechanisms and Functions of Intermittent Neural Synchronization.

作者信息

Ahn Sungwoo, Rubchinsky Leonid L

机构信息

Department of Mathematical Sciences, Indiana University Purdue University IndianapolisIndianapolis, IN, United States.

Stark Neurosciences Research Institute, Indiana University School of MedicineIndianapolis, IN, United States.

出版信息

Front Comput Neurosci. 2017 May 30;11:44. doi: 10.3389/fncom.2017.00044. eCollection 2017.

DOI:10.3389/fncom.2017.00044
PMID:28611618
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5447717/
Abstract

Neural synchronization is believed to play an important role in different brain functions. Synchrony in cortical and subcortical circuits is frequently variable in time and not perfect. Few long intervals of desynchronized dynamics may be functionally different from many short desynchronized intervals although the average synchrony may be the same. Recent analysis of imperfect synchrony in different neural systems reported one common feature: neural oscillations may go out of synchrony frequently, but primarily for a short time interval. This study explores potential mechanisms and functional advantages of this short desynchronizations dynamics using computational neuroscience techniques. We show that short desynchronizations are exhibited in coupled neurons if their delayed rectifier potassium current has relatively large values of the voltage-dependent activation time-constant. The delayed activation of potassium current is associated with generation of quickly-rising action potential. This "spikiness" is a very general property of neurons. This may explain why very different neural systems exhibit short desynchronization dynamics. We also show how the distribution of desynchronization durations may be independent of the synchronization strength. Finally, we show that short desynchronization dynamics requires weaker synaptic input to reach a pre-set synchrony level. Thus, this dynamics allows for efficient regulation of synchrony and may promote efficient formation of synchronous neural assemblies.

摘要

神经同步被认为在不同的脑功能中发挥着重要作用。皮质和皮质下回路中的同步性在时间上经常变化且并不完美。尽管平均同步性可能相同,但少数长时间的去同步动态可能在功能上与许多短时间的去同步间隔有所不同。最近对不同神经系统中不完美同步性的分析报告了一个共同特征:神经振荡可能频繁地失去同步,但主要是在短时间间隔内。本研究使用计算神经科学技术探索这种短时间去同步动态的潜在机制和功能优势。我们表明,如果耦合神经元的延迟整流钾电流具有相对较大的电压依赖性激活时间常数,则会出现短时间的去同步。钾电流的延迟激活与快速上升的动作电位的产生有关。这种“尖峰性”是神经元的一个非常普遍的特性。这可能解释了为什么非常不同的神经系统会表现出短时间的去同步动态。我们还展示了去同步持续时间的分布如何可能与同步强度无关。最后,我们表明短时间的去同步动态需要较弱的突触输入才能达到预设的同步水平。因此,这种动态允许对同步进行有效调节,并可能促进同步神经集合的有效形成。

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