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在共济失调、肌张力障碍和震颤的小鼠模型中,小脑核细胞产生不同的致病性棘波特征。

Cerebellar nuclei cells produce distinct pathogenic spike signatures in mouse models of ataxia, dystonia, and tremor.

作者信息

van der Heijden Meike E, Brown Amanda M, Kizek Dominic J, Sillitoe Roy V

出版信息

bioRxiv. 2024 Apr 25:2023.05.07.539767. doi: 10.1101/2023.05.07.539767.

Abstract

The cerebellum contributes to a diverse array of motor conditions including ataxia, dystonia, and tremor. The neural substrates that encode this diversity are unclear. Here, we tested whether the neural spike activity of cerebellar output neurons is distinct between movement disorders with different impairments, generalizable across movement disorders with similar impairments, and capable of causing distinct movement impairments. Using awake recordings as input data, we trained a supervised classifier model to differentiate the spike parameters between mouse models for ataxia, dystonia, and tremor. The classifier model correctly assigned mouse phenotypes based on single neuron signatures. Spike signatures were shared across etiologically distinct but phenotypically similar disease models. Mimicking these pathophysiological spike signatures with optogenetics induced the predicted motor impairments in otherwise healthy mice. These data show that distinct spike signatures promote the behavioral presentation of cerebellar diseases.

摘要

小脑与多种运动状况有关,包括共济失调、肌张力障碍和震颤。编码这种多样性的神经基质尚不清楚。在这里,我们测试了小脑输出神经元的神经尖峰活动在具有不同损伤的运动障碍之间是否不同,在具有相似损伤的运动障碍之间是否具有普遍性,以及是否能够导致不同的运动损伤。使用清醒记录作为输入数据,我们训练了一个监督分类器模型,以区分共济失调、肌张力障碍和震颤小鼠模型之间的尖峰参数。分类器模型根据单个神经元特征正确地分配了小鼠表型。尖峰特征在病因不同但表型相似的疾病模型中是共享的。用光遗传学模拟这些病理生理尖峰特征会在原本健康的小鼠中诱发预测的运动损伤。这些数据表明,不同的尖峰特征促进了小脑疾病的行为表现。

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