左旋多巴诱导的帕金森病大鼠运动障碍期间神经运动网络活动的连贯变化

IF 2.5 4区 医学 Q3 NEUROSCIENCES Journal of integrative neuroscience Pub Date : 2024-12-24 DOI:10.31083/j.jin2312221
Elena S Brazhnik, Ivan E Mysin, Lyudmila B Popova, Vladislav V Minaychev, Nikolay I Novikov
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引用次数: 0

摘要

背景:长期使用左旋多巴(多巴胺(DA)的代谢前体,用于缓解帕金森病(PD)的运动症状)可引起严重的副作用,即左旋多巴诱导的运动障碍(LID)。随着LID的发展,PD患者和实验性PD大鼠的运动皮质(MCx)记录到高频伽马振荡(~100 Hz)。在左旋多巴关闭状态到运动障碍的转变过程中,研究运动网络主要成分的活动变化可以为它们对异常伽马振荡和LID发展的贡献提供有用的信息。方法:对单侧6-羟多巴胺氢溴化物(6-OHDA)诱导的神经DA细胞损伤大鼠给予高剂量左旋多巴,持续7 d。通过植入运动皮质(MCx)、丘脑腹内侧核(VM)和网状黑质核(SNpr)的电极记录局部场电位(LFPs)和神经元活动。结果:左旋多巴降低了PD大鼠运动神经网络的三个部分(MCx、VM和SNpr)中与运动缓慢相关的β振荡(30- 36hz)的功率,并促使VM和MCx随后出现稳健的高频伽马振荡(80- 120hz),但SNpr和LFPs没有。伽马振荡与异常不自主运动(AIMs)的发生密切相关,并伴有VM和MCx的峰值率增加,以及与皮质伽马振荡同步的峰值- lfp增大(VM 68%, MCx 34%)。相比之下,SNpr LFPs在LID期间没有表现出伽马振荡,并且大多数记录(87%)的神经元活动大大减少,并且与VM或MCx LFPs不同步。服用抗运动障碍药物8-羟基-2-(二丙胺)-四溴化氢(8-OH-DPAT)恢复了lfp的初始特征(30- 36hz振荡)、神经元活动率和运动迟缓。在LID期间,γ -氨基丁酸(GABA-A)激动剂muscimol对VM神经元的抑制消除了MCx和VM中的高伽马振荡,但没有消除运动障碍,这表明伽马振荡对AIMs的表达并不重要。相反,在LID期间SNpr神经元的化学发生激活消除了伽马振荡和运动障碍。结论:这些发现表明,左旋多巴治疗导致运动网络抑制控制的关键减少,原因是大多数SNpr gaba能投射神经元的峰值大幅下降,这导致运动回路持续过度活跃,导致丘脑皮质伽马振荡和LID的出现。
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Coherent Changes in Neural Motor Network Activity during Levodopa-Induced Dyskinesia in a Rat Model of Parkinson's Disease.

Background: Long-term use of levodopa, a metabolic precursor of dopamine (DA) for alleviation of motor symptoms in Parkinson's disease (PD), can cause a serious side effect known as levodopa-induced dyskinesia (LID). With the development of LID, high-frequency gamma oscillations (~100 Hz) are registered in the motor cortex (MCx) in patients with PD and rats with experimental PD. Studying alterations in the activity within major components of motor networks during transition from levodopa-off state to dyskinesia can provide useful information about their contribution to the development of abnormal gamma oscillations and LID.

Methods: Freely moving rats with unilateral 6-hydroxydopamine hydrobromide (6-OHDA)-induced nigral DA cell lesions were administered a high dose of levodopa for 7 days. Local field potentials (LFPs) and neuronal activity were recorded from electrodes implanted in the motor cortex (MCx), ventromedial nucleus of the thalamus (VM), and substantia nigra pars reticulata nucleus (SNpr).

Results: Levodopa reduced the power of beta oscillations (30-36 Hz) associated with bradykinesia in PD rats in three divisions of the motor neural network (MCx, VM, and SNpr) and prompted subsequent emergence of robust high-frequency gamma oscillations (80-120 Hz) in VM and MCx, but not SNpr, LFPs. Gamma oscillations were strongly associated with the occurrence of abnormal involuntary movements (AIMs) and accompanied by an increase in spiking rates in the VM and MCx and enlarged spike-LFP synchronization with cortical gamma oscillations (68% in the VM and 34% in the MCx). In contrast, SNpr LFPs did not exhibit gamma oscillations during LID, and neuronal activity in most recordings (87%) was largely decreased and not synchronized with VM or MCx LFPs. Administration of the antidyskinetic drug 8-hydroxy-2-(dipropylamino)-tetraline hydrobromide (8-OH-DPAT) restored the initial characteristics of LFPs (30-36 Hz oscillations), rates of neuronal activity, and bradykinesia. Inhibition of VM neurons by the gamma-aminobutyric acid (GABA-A)-agonist muscimol during LID eliminated high gamma oscillations in the MCx and VM, but not dyskinesia, suggesting that gamma oscillations are not critical for the expression of AIMs. In contrast, chemogenetic activation of SNpr neurons during LID eliminated both gamma oscillations and dyskinesia.

Conclusions: These findings suggest that levodopa treatment leads to crucial reduction of inhibitory control over motor networks due to a large decline in spiking of most SNpr GABAergic projecting neurons, which causes persistent hyperactivity in motor circuits, leading to the appearance of thalamocortical gamma oscillations and LID.

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来源期刊
CiteScore
2.80
自引率
5.60%
发文量
173
审稿时长
2 months
期刊介绍: JIN is an international peer-reviewed, open access journal. JIN publishes leading-edge research at the interface of theoretical and experimental neuroscience, focusing across hierarchical levels of brain organization to better understand how diverse functions are integrated. We encourage submissions from scientists of all specialties that relate to brain functioning.
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