Analysis of within Subjects Variability in Mouse Ultrasonic Vocalization: Pups Exhibit Inconsistent, State-Like Patterns of Call Production.

Analysis of within Subjects Variability in Mouse Ultrasonic Vocalization: Pups Exhibit Inconsistent, State-Like Patterns of Call Production.
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DOI:
10.3389/fnbeh.2016.00182
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发表时间:
2016
影响因子:
3
通讯作者:
Dougherty JD
Dougherty JD
中科院分区:
医学3区
文献类型:
--
作者:
Rieger MA;Dougherty JD

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小鼠在多种交流环境中产生超声波发声(USV),包括成年社交互动(例如雄性对雌性求爱),以及与母鼠分离时的幼崽叫声。对幼犬 USV 的评估已广泛应用于社交和交流障碍模型,其中数十种模型已显示出这种保守行为的改变。然而,即使在实验组内,呼叫产生率等特征也可能存在很大差异,并且尚不清楚 USV 的各个方面在多大程度上代表了稳定的性状影响或容易受到动物状态的影响。为了解决这个问题,我们采用了混合建模方法来描述 USV 特征随时间的一致性,利用从两种菌株记录的多个大型群体,以及跨年龄/时间。我们发现幼犬 USV 的大多数特征在记录过程中表现出一致的模式,但在出生后发育过程中表现出不一致的模式。这支持了这样的结论:小型无人水面艇受“状态”类变量的影响最为强烈。相比之下,成人 USV 呼叫率和呼叫持续时间在会话中表现出更高的一致性,并且可能反映了稳定的“特征”。然而,成年歌曲的频谱特征(例如音调跳跃的存在)并未显示出这种程度的一致性,这表明音调调制更容易受到录音时影响动物状态的因素的影响。总的来说,这项工作的效用有三重。首先,由于变异性必然会影响检测实验扰动的测定的灵敏度,我们希望此处提供的信息将用于帮助研究人员计划足够有力的实验,以及优先考虑特定年龄来研究 USV 行为并决定在分析中最强烈考虑哪些特征。其次,通过 mouseTube 平台,我们提供了这数百个录音和相关数据,作为对这些菌株的基准数据或开发研究小鼠歌曲特征的算法感兴趣的其他研究人员的共享资源。最后,我们希望这项工作能够为发育障碍模型中 USV 研究的解释提供信息,并有助于进一步研究了解有助于 USV 行为的产生和可预测性的神经过程。
Mice produce ultrasonic vocalizations (USV) in multiple communicative contexts, including adult social interaction (e.g., male to female courtship), as well as pup calls when separated from the dam. Assessment of pup USV has been widely applied in models of social and communicative disorders, dozens of which have shown alterations to this conserved behavior. However, features such as call production rate can vary substantially even within experimental groups and it is unclear to what extent aspects of USV represent stable trait-like influences or are vulnerable to an animal's state. To address this question, we have employed a mixed modeling approach to describe consistency in USV features across time, leveraging multiple large cohorts recorded from two strains, and across ages/times. We find that most features of pup USV show consistent patterns within a recording session, but inconsistent patterns across postnatal development. This supports the conclusion that pup USV is most strongly influenced by “state”-like variables. In contrast, adult USV call rate and call duration show higher consistency across sessions and may reflect a stable “trait.” However, spectral features of adult song such as the presence of pitch jumps do not show this level of consistency, suggesting that pitch modulation is more susceptible to factors affecting the animal's state at the time of recording. Overall, the utility of this work is three-fold. First, as variability necessarily affects the sensitivity of the assay to detect experimental perturbation, we hope the information provided here will be used to help researchers plan sufficiently powered experiments, as well as prioritize specific ages to study USV behavior and to decide which features to consider most strongly in analysis. Second, via the mouseTube platform, we have provided these hundreds of recordings and associated data to serve as a shared resource for other researchers interested in either benchmark data for these strains or in developing algorithms for studying features of mouse song. Finally, we hope that this work informs both interpretation of USV studies in models of developmental disorder, and helps to further research into understanding the neural processes that contribute to the production and predictability of USV behavior.
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