State transitions in the substantia nigra reticulata predict the onset of motor deficits in models of progressive dopamine depletion in mice

黑质网状结构的状态转变可预测小鼠进行性多巴胺耗竭模型中运动缺陷的发生

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作者:Amanda M Willard #, Brian R Isett #, Timothy C Whalen, Kevin J Mastro, Chris S Ki, Xiaobo Mao, Aryn H Gittis

Abstract

Parkinson's disease (PD) is a progressive neurodegenerative disorder whose cardinal motor symptoms are attributed to dysfunction of basal ganglia circuits under conditions of low dopamine. Despite well-established physiological criteria to define basal ganglia dysfunction, correlations between individual parameters and motor symptoms are often weak, challenging their predictive validity and causal contributions to behavior. One limitation is that basal ganglia pathophysiology is studied only at end-stages of depletion, leaving an impoverished understanding of when deficits emerge and how they evolve over the course of depletion. In this study, we use toxin- and neurodegeneration-induced mouse models of dopamine depletion to establish the physiological trajectory by which the substantia nigra reticulata (SNr) transitions from the healthy to the diseased state. We find that physiological progression in the SNr proceeds in discrete state transitions that are highly stereotyped across models and correlate well with the prodromal and symptomatic stages of behavior.

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