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帕金森病基底节至丘脑的相关性转移。

Correlation transfer from basal ganglia to thalamus in Parkinson's disease.

机构信息

Department of Mathematics, University of Pittsburgh Pittsburgh, PA, USA.

出版信息

Front Comput Neurosci. 2011 Dec 13;5:58. doi: 10.3389/fncom.2011.00058. eCollection 2011.

Abstract

Spike trains from neurons in the basal ganglia of parkinsonian primates show increased pairwise correlations, oscillatory activity, and burst rate compared to those from neurons recorded during normal brain activity. However, it is not known how these changes affect the behavior of downstream thalamic neurons. To understand how patterns of basal ganglia population activity may affect thalamic spike statistics, we study pairs of model thalamocortical (TC) relay neurons receiving correlated inhibitory input from the internal segment of the globus pallidus (GPi), a primary output nucleus of the basal ganglia. We observe that the strength of correlations of TC neuron spike trains increases with the GPi correlation level, and bursty firing patterns such as those seen in the parkinsonian GPi allow for stronger transfer of correlations than do firing patterns found under normal conditions. We also show that the T-current in the TC neurons does not significantly affect correlation transfer, despite its pronounced effects on spiking. Oscillatory firing patterns in GPi are shown to affect the timescale at which correlations are best transferred through the system. To explain this last result, we analytically compute the spike count correlation coefficient for oscillatory cases in a reduced point process model. Our analysis indicates that the dependence of the timescale of correlation transfer is robust to different levels of input spike and rate correlations and arises due to differences in instantaneous spike correlations, even when the long timescale rhythmic modulations of neurons are identical. Overall, these results show that parkinsonian firing patterns in GPi do affect the transfer of correlations to the thalamus.

摘要

帕金森病灵长类动物基底神经节神经元的尖峰串显示出与正常大脑活动期间记录的神经元相比,增加的成对相关性、振荡活动和爆发率。然而,尚不清楚这些变化如何影响下游丘脑神经元的行为。为了了解基底神经节群体活动模式如何影响丘脑尖峰统计,我们研究了一对接受来自苍白球内节(GPi)的相关抑制性输入的模型丘脑皮质(TC)中继神经元,GPi 是基底神经节的主要输出核。我们观察到,TC 神经元尖峰串的相关性强度随 GPi 相关性水平的增加而增加,并且爆发性发射模式(如帕金森病 GPi 中所见)允许比正常条件下发现的发射模式更强的相关性传递。我们还表明,TC 神经元中的 T 电流尽管对尖峰有明显影响,但对相关性传递的影响不大。我们还表明,GPi 中的振荡发射模式会影响相关性通过系统最佳传递的时间尺度。为了解释最后一个结果,我们在简化的点过程模型中针对振荡情况分析计算了尖峰计数相关系数。我们的分析表明,相关性传递的时间尺度的依赖性对不同水平的输入尖峰和速率相关性具有稳健性,并且由于瞬时尖峰相关性的差异而产生,即使神经元的长时间尺度节律调制是相同的。总的来说,这些结果表明,帕金森病 GPi 的发射模式确实会影响到对丘脑的相关性传递。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f17/3280480/dce1f56f76cf/fncom-05-00058-g001.jpg

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