The impact of Parkinson's disease on striatal network connectivity and corticostriatal drive: An in silico study.

IF 3.6 3区 医学 Q2 NEUROSCIENCES Network Neuroscience Pub Date : 2024-12-10 eCollection Date: 2024-01-01 DOI:10.1162/netn_a_00394
Ilaria Carannante, Martina Scolamiero, J J Johannes Hjorth, Alexander Kozlov, Bo Bekkouche, Lihao Guo, Arvind Kumar, Wojciech Chachólski, Jeanette Hellgren Kotaleski
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Abstract

Striatum, the input stage of the basal ganglia, is important for sensory-motor integration, initiation and selection of behavior, as well as reward learning. Striatum receives glutamatergic inputs from mainly cortex and thalamus. In rodents, the striatal projection neurons (SPNs), giving rise to the direct and the indirect pathway (dSPNs and iSPNs, respectively), account for 95% of the neurons, and the remaining 5% are GABAergic and cholinergic interneurons. Interneuron axon terminals as well as local dSPN and iSPN axon collaterals form an intricate striatal network. Following chronic dopamine depletion as in Parkinson's disease (PD), both morphological and electrophysiological striatal neuronal features have been shown to be altered in rodent models. Our goal with this in silico study is twofold: (a) to predict and quantify how the intrastriatal network connectivity structure becomes altered as a consequence of the morphological changes reported at the single-neuron level and (b) to investigate how the effective glutamatergic drive to the SPNs would need to be altered to account for the activity level seen in SPNs during PD. In summary, we predict that the richness of the connectivity motifs in the striatal network is significantly decreased during PD while, at the same time, a substantial enhancement of the effective glutamatergic drive to striatum is present.

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帕金森病对纹状体网络连接和皮层驱动的影响:模拟研究
纹状体是基底神经节的输入阶段,在感觉-运动整合、行为的启动和选择以及奖励学习中起重要作用。纹状体主要接受来自皮质和丘脑的谷氨酸输入。在啮齿类动物中,纹状体投射神经元(SPNs)分别产生直接和间接通路(dSPNs和ispn),占神经元总数的95%,其余5%为gaba能神经元和胆碱能中间神经元。神经元间轴突终末以及局部dSPN和iSPN轴突侧支形成复杂的纹状体网络。在帕金森病(PD)中慢性多巴胺耗竭后,在啮齿动物模型中纹状体神经元的形态和电生理特征都发生了改变。我们的这项计算机研究的目标有两个:(a)预测和量化在单个神经元水平上报告的形态学变化如何改变纹状体内网络连接结构;(b)研究如何改变有效的谷氨酸驱动到spn,以解释PD期间spn中所见的活动水平。综上所述,我们预测纹状体网络中连接基序的丰富程度在PD期间显着降低,同时,有效的谷氨酸能驱动纹状体存在实质性增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Network Neuroscience
Network Neuroscience NEUROSCIENCES-
CiteScore
6.40
自引率
6.40%
发文量
68
审稿时长
16 weeks
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