Matsumoto Jumpei, Kanno Kouta, Kato Masahiro, Nishimaru Hiroshi, Setogawa Tsuyoshi, Chinzorig Choijiljav, Shibata Tomohiro, Nishijo Hisao
Department of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama 930-0194, Japan.
Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan.
iScience. 2022 Jul 21;25(8):104812. doi: 10.1016/j.isci.2022.104812. eCollection 2022 Aug 19.
To investigate biological mechanisms underlying social behaviors and their deficits, social communication via ultrasonic vocalizations (USVs) in mice has received considerable attention as a powerful experimental model. The advances in sound localization technology have facilitated the analysis of vocal interactions between multiple mice. However, existing sound localization systems are built around distributed-microphone arrays, which require a special recording arena and long processing time. Here, we report a novel acoustic camera system, USVCAM, which enables simpler and faster USV localization and assignment. The system comprises recently developed USV segmentation algorithms with a modification for overlapping vocalizations that results in high accuracy. Using USVCAM, we analyzed USV communications in a conventional home cage, and demonstrated novel vocal interactions in female ICR mice under a resident-intruder paradigm. The extended applicability and usability of USVCAM may facilitate future studies investigating typical and atypical vocal communication and social behaviors, as well as the underlying mechanisms.
为了研究社会行为及其缺陷背后的生物学机制,小鼠通过超声波发声(USVs)进行的社会交流作为一种强大的实验模型受到了广泛关注。声音定位技术的进步促进了对多只小鼠之间声音互动的分析。然而,现有的声音定位系统是围绕分布式麦克风阵列构建的,这需要特殊的记录场地和较长的处理时间。在此,我们报告了一种新型声学相机系统USVCAM,它能够实现更简单、更快的USV定位和分配。该系统包括最近开发的USV分割算法,并针对重叠发声进行了改进,从而实现了高精度。使用USVCAM,我们在传统的饲养笼中分析了USV通信,并在居住者 - 入侵者范式下展示了雌性ICR小鼠中的新型声音互动。USVCAM扩展的适用性和可用性可能会促进未来对典型和非典型声音通信及社会行为及其潜在机制的研究。