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递归定量分析揭示小鼠听觉脑干神经元中自发性微小抑制性突触后电流的非随机性质

Non-random nature of spontaneous mIPSCs in mouse auditory brainstem neurons revealed by recurrence quantification analysis.

作者信息

Leao Richardson N, Leao Fabricio N, Walmsley Bruce

机构信息

Division of Neuroscience, The John Curtin School of Medical Research, The Australian National University Synapse and Hearing Laboratory PO Box 334, Canberra, ACT 0200, Australia.

出版信息

Proc Biol Sci. 2005 Dec 7;272(1580):2551-9. doi: 10.1098/rspb.2005.3258.

Abstract

A change in the spontaneous release of neurotransmitter is a useful indicator of processes occurring within presynaptic terminals. Linear techniques (e.g. Fourier transform) have been used to analyse spontaneous synaptic events in previous studies, but such methods are inappropriate if the timing pattern is complex. We have investigated spontaneous glycinergic miniature synaptic currents (mIPSCs) in principal cells of the medial nucleus of the trapezoid body. The random versus deterministic (or periodic) nature of mIPSCs was assessed using recurrence quantification analysis. Nonlinear methods were then used to quantify any detected determinism in spontaneous release, and to test for chaotic or fractal patterns. Modelling demonstrated that this procedure is much more sensitive in detecting periodicities than conventional techniques. mIPSCs were found to exhibit periodicities that were abolished by blockade of internal calcium stores with ryanodine, suggesting calcium oscillations in the presynaptic inhibitory terminals. Analysis indicated that mIPSC occurrences were chaotic in nature. Furthermore, periodicities were less evident in congenitally deaf mice than in normal mice, indicating that appropriate neural activity during development is necessary for the expression of deterministic chaos in mIPSC patterns. We suggest that chaotic oscillations of mIPSC occurrences play a physiological role in signal processing in the auditory brainstem.

摘要

神经递质自发释放的变化是突触前终末内发生的过程的有用指标。线性技术(如傅里叶变换)在以往研究中已被用于分析自发突触事件,但如果时间模式复杂,此类方法并不适用。我们研究了梯形体内侧核主细胞中的自发甘氨酸能微小突触电流(mIPSCs)。使用递归量化分析评估了mIPSCs的随机与确定性(或周期性)性质。然后使用非线性方法量化自发释放中检测到的任何确定性,并测试混沌或分形模式。建模表明,该程序在检测周期性方面比传统技术更为敏感。发现mIPSCs表现出周期性,用ryanodine阻断细胞内钙库可消除这种周期性,提示突触前抑制性终末存在钙振荡。分析表明,mIPSC的发生本质上是混沌的。此外,先天性耳聋小鼠的周期性不如正常小鼠明显,表明发育过程中适当的神经活动对于mIPSC模式中确定性混沌的表达是必要的。我们认为,mIPSC发生的混沌振荡在听觉脑干的信号处理中发挥生理作用。

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