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德尔塔振荡是清醒小鼠多巴胺耗竭严重程度和运动功能障碍的一个稳健生物标志物。

Delta oscillations are a robust biomarker of dopamine depletion severity and motor dysfunction in awake mice.

机构信息

Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania.

Neuroscience Institute and Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania.

出版信息

J Neurophysiol. 2020 Aug 1;124(2):312-329. doi: 10.1152/jn.00158.2020. Epub 2020 Jun 24.

Abstract

Delta oscillations (0.5-4 Hz) are a robust feature of basal ganglia pathophysiology in patients with Parkinson's disease (PD) in relationship to tremor, but their relationship to other parkinsonian symptoms has not been investigated. While delta oscillations have been observed in mouse models of PD, they have only been investigated in anesthetized animals, suggesting that the oscillations may be an anesthesia artifact and limiting the ability to relate them to motor symptoms. Here, we establish a novel approach to detect spike oscillations embedded in noise to provide the first study of delta oscillations in awake, dopamine-depleted mice. We find that approximately half of neurons in the substantia nigra pars reticulata (SNr) exhibit delta oscillations in dopamine depletion and that these oscillations are a strong indicator of dopamine loss and akinesia, outperforming measures such as changes in firing rate, irregularity, bursting, and synchrony. These oscillations are typically weakened, but not ablated, during movement. We further establish that these oscillations are caused by the loss of D2-receptor activation and do not originate from motor cortex, contrary to previous findings in anesthetized animals. Instead, SNr oscillations precede those in M1 at a 100- to 300-ms lag, and these neurons' relationship to M1 oscillations can be used as the basis for a novel classification of SNr into two subpopulations. These results give insight into how dopamine loss leads to motor dysfunction and suggest a reappraisal of delta oscillations as a marker of akinetic symptoms in PD. This work introduces a novel method to detect spike oscillations amidst neural noise. Using this method, we demonstrate that delta oscillations in the basal ganglia are a defining feature of awake, dopamine-depleted mice and are strongly correlated with dopamine loss and parkinsonian motor symptoms. These oscillations arise from a loss of D2-receptor activation and do not require motor cortex. Similar oscillations in human patients may be an underappreciated marker and target for Parkinson's disease (PD) treatment.

摘要

德尔塔震荡(0.5-4Hz)是帕金森病(PD)患者基底神经节生理学的一个稳健特征,与震颤有关,但它们与其他帕金森症状的关系尚未得到研究。虽然在 PD 的小鼠模型中观察到了德尔塔震荡,但它们只在麻醉动物中进行了研究,这表明这些震荡可能是麻醉的人工产物,限制了将它们与运动症状联系起来的能力。在这里,我们建立了一种新的方法来检测嵌入噪声中的尖峰震荡,以首次研究清醒、多巴胺耗竭小鼠中的德尔塔震荡。我们发现,在多巴胺耗竭时,大约一半的黑质网状部(SNr)神经元表现出德尔塔震荡,并且这些震荡是多巴胺丧失和运动不能的强烈指标,优于诸如放电率、不规则性、爆发和同步性的变化等指标。这些震荡在运动期间通常减弱,但不会被消除。我们进一步证实,这些震荡是由 D2 受体激活的丧失引起的,与以前在麻醉动物中的发现相反,它们并非源自运动皮层。相反,SNr 震荡在 100-300ms 的滞后时间内先于 M1 震荡,并且这些神经元与 M1 震荡的关系可以作为将 SNr 分为两个亚群的新分类的基础。这些结果深入了解了多巴胺丧失如何导致运动功能障碍,并提示重新评估 PD 中的德尔塔震荡作为运动不能症状的标志物。这项工作引入了一种新的方法来检测神经噪声中的尖峰震荡。使用这种方法,我们证明了基底神经节中的德尔塔震荡是清醒、多巴胺耗竭小鼠的一个定义特征,并且与多巴胺丧失和帕金森运动症状强烈相关。这些震荡源自 D2 受体激活的丧失,不需要运动皮层。人类患者中类似的震荡可能是一个被低估的标志物和帕金森病(PD)治疗的靶点。

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