Quantification of Aggregation and Associated Brain Areas in Drosophila Melanogaster
Quantification of Aggregation and Associated Brain Areas in Drosophila Melanogaster
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DOI：
10.1109/percomw.2019.8730594
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发表时间：
2019-03
期刊：
影响因子：
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通讯作者：
Takuto Okuno;K. Hashimoto;Hiromu Tanimoto
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文献类型：
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作者：
Takuto Okuno;K. Hashimoto;Hiromu Tanimoto
社会行为需要动物之间的互动。聚集，动物的空间集合，促进个体间的交流，并提供社会互动的机会。为了量化小动物如昆虫中的聚集，有必要以高精度检测单个动物。通过扩展最近开发的机器视觉软件的实用性，我们在这里跟踪多个个体的果蝇，并提供新的指标量化聚集。在圆形竞技场中的苍蝇立即形成聚集，其显著高于随机分布，并且其在30分钟的过程中发展。作为识别聚集背后的神经回路的第一步，我们分析了大量的轨迹数据（18992个视频），其中2204组神经元被遗传刺激。行为表现和标记神经元的大规模相关性确定了与聚集和隔离相关的大脑区域。
Social behavior requires the interaction among animals. Aggregation, spatial assembly of animals, facilitates inter-individual communication, and provides occasions of social interaction. To quantify aggregation in small animals such as insects it is necessary to detect individual animals at a high precision. By expanding the utility of recently developed machine vision software, we here track multiple individual Drosophila melanogaster and provide new metrics for quantifying aggregation. Flies in a circular arena immediately formed aggregation that is significantly higher than random distribution, and it developed over the course of 30 minutes. As the first step toward the identification of neural circuits underlying aggregation, we analyzed large trajectory data (18, 992 videos), where 2, 204 groups of neurons were genetically stimulated. Large-scale correlations of behavioral performance and labelled neurons identified brain areas associated with aggregation and isolation.