Assessing vocal changes through spectral analyses of vocalizations in a cerebellar-specific dystonia mouse model.

IF 1.6
Dystonia Pub Date : 2026-01-01 Epub Date: 2026-03-26 DOI:10.3389/dyst.2026.15530
Austin L Fitzgerald, Jonathan A Coello, Alyssa M Lyon, Breanne L Dao, Meike E van der Heijden
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Abstract

Vocal impairments are a debilitating but understudied feature of several dystonias, including generalized and early-onset genetic forms. Despite growing recognition that cerebellar dysfunction contributes to dystonic pathophysiology, the circuit mechanisms underlying vocal-motor abnormalities remain poorly understood, and effective treatments remain limited, in part due to the lack of a preclinical model that captures specific vocal features. Our experiment evaluates ultrasonic vocalizations (USVs) in Ptf1a Cre/+ ;Vglut2 fl/fl mice, a cerebellum-specific generalized dystonia model, to assess cerebellar contributions to phonation and explore translational relevance for vocal features. At postnatal day 9, dystonic mice demonstrated statistically significant reductions in total USV count, relative count of complex calls, and key spectral parameters-especially frequency modulation and power-mirroring general phonatory abnormalities seen in dystonia. Cluster analyses further revealed impaired vocal burst initiation, suggesting disrupted cerebellar coordination of temporal vocal-motor output. These findings support the model's construct and face validity for studying cerebellar mechanisms of vocal impairment. By identifying quantifiable acoustic disruptions, our study establishes a foundational platform for future circuit-targeted investigations of vocal-motor dysfunction in dystonia.

通过对小脑特异性肌张力障碍小鼠模型发声的频谱分析来评估声音变化。
包括全身性和早发性遗传形式的肌张力障碍,声带损伤是一种使人衰弱但尚未得到充分研究的特征。尽管越来越多的人认识到小脑功能障碍有助于肌张力障碍的病理生理,但声音运动异常的电路机制仍然知之甚少,有效的治疗仍然有限,部分原因是缺乏捕捉特定声音特征的临床前模型。我们的实验评估了Ptf1a Cre/+的超声发声(USVs);Vglut2 fl/fl小鼠,一个小脑特异性的全身性肌张力障碍模型,评估小脑对发声的贡献,并探索声音特征的翻译相关性。在出生后第9天,肌张力障碍小鼠在总USV计数、复杂叫声的相对计数和关键频谱参数(尤其是频率调制和功率镜像)上表现出统计学上的显著减少。聚类分析进一步揭示了受损的声音爆发起始,表明小脑的协调中断的时间声运动输出。这些发现支持了该模型的构建,并为研究声带损伤的小脑机制提供了依据。通过识别可量化的声音干扰,我们的研究为未来针对肌张力障碍中声音运动功能障碍的电路研究建立了一个基础平台。
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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