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Frequency and function in the basal ganglia: the origins of beta and gamma band activity

机译:基底节的频率和功能:β和γ带活动的起源

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Key points class="unordered" style="list-style-type:disc" id="tjp12354-list-0001">Neuronal oscillations in the basal ganglia have been observed to correlate with behaviours, although the causal mechanisms and functional significance of these oscillations remain unknown.We present a novel computational model of the healthy basal ganglia, constrained by single unit recordings from non‐human primates.When the model is run using inputs that might be expected during performance of a motor task, the network shows emergent phenomena: it functions as a selection mechanism and shows spectral properties that match those seen in vivo.Beta frequency oscillations are shown to require pallido‐striatal feedback, and occur with behaviourally relevant cortical input. Gamma oscillations arise in the subthalamic–globus pallidus feedback loop, and occur during movement.The model provides a coherent framework for the study of spectral, temporal and functional analyses of the basal ganglia and lays the foundation for an integrated approach to study basal ganglia pathologies such as Parkinson's disease in silico.
机译:关键点 class =“ unordered” style =“ list-style-type:disc” id =“ tjp12354-list-0001”> <!-list-behavior = unordered prefix-word = mark-type = disc max- label-size = 0-> 已经观察到基底神经节中的神经元振荡与行为相关,尽管这些振荡的原因机制和功能意义仍然未知。 我们提出了一种新颖的计算方法健康的基底神经节的模型,受非人类灵长类动物的单个单位记录的约束。 当使用执行运动任务时可能期望的输入来运行该模型时,网络会出现紧急现象:功能起选择机制的作用,并显示出与体内观察到的光谱性质相匹配的光谱特性。 β频率振荡被证明需要古皮-纹状体反馈,并且在行为上与皮质相关。伽马振荡发生在丘脑-下苍白球的反馈回路中,并在运动过程中发生。 该模型为研究基底节的频谱,时间和功能分析提供了一个连贯的框架,并为基础神经节研究基底节神经病变(例如帕金森病)的综合方法。

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