Automatically annotated motion tracking identifies a distinct social behavioral profile following chronic social defeat stress.
Automatically annotated motion tracking identifies a distinct social behavioral profile following chronic social defeat stress.
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DOI：
10.1038/s41467-023-40040-3
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发表时间：
2023-07-18
影响因子：
16.6
通讯作者：
Schmidt, Mathias V.
中科院分区：
文献类型：
--
作者：
Bordes, Joeri;Miranda, Lucas;Reinhardt, Maya;Narayan, Sowmya;Hartmann, Jakob;Newman, Emily L.;Brix, Lea Maria;van Doeselaar, Lotte;Engelhardt, Clara;Dillmann, Larissa;Mitra, Shiladitya;Ressler, Kerry J.;Puetz, Benno;Agakov, Felix;Mueller-Myhsok, Bertram;Schmidt, Mathias V.
严重的压力暴露会增加与压力相关的疾病的风险，如严重抑郁障碍(MDD)。MDD的一个基本特征是社会功能受损和缺乏社会动力。慢性社会失败应激是MDD研究的一个已建立的动物模型，它会引起一系列生理和行为变化。目前的无标记姿势估计工具允许进行更复杂和自然的行为测试。在这里，我们介绍了开源工具DeepOF，通过提供使用DeepLabCut注释的姿势估计数据的监督和非监督管道，来调查小鼠的个人和社会行为特征。将这一工具应用于雄性小鼠的慢性社交失败，DeepOF有监督和无监督管道检测到一种独特的压力诱导的社会行为模式，这种模式在一次新的社会相遇开始时特别观察到，并由于习惯化而随着时间的推移而消失。此外，虽然经典的社交回避任务确实识别了压力导致的社交行为差异，但两个DeepOF行为管道都提供了更清晰、更详细的概况。此外，DeepOF旨在通过提供一个开源工具来促进行为分类的重复性和统一性，该工具可以促进对啮齿动物个人和社会行为的研究，从而能够获得生物学见解，例如，随后针对精神障碍的药物开发。准确的表型鉴定是破译行为的关键。在这里，作者展示了软件包DeepOF在有监督和无监督地识别慢性社会压力后不同的个人和社会行为模式方面的效用。
Severe stress exposure increases the risk of stress-related disorders such as major depressive disorder (MDD). An essential characteristic of MDD is the impairment of social functioning and lack of social motivation. Chronic social defeat stress is an established animal model for MDD research, which induces a cascade of physiological and behavioral changes. Current markerless pose estimation tools allow for more complex and naturalistic behavioral tests. Here, we introduce the open-source tool DeepOF to investigate the individual and social behavioral profile in mice by providing supervised and unsupervised pipelines using DeepLabCut-annotated pose estimation data. Applying this tool to chronic social defeat in male mice, the DeepOF supervised and unsupervised pipelines detect a distinct stress-induced social behavioral pattern, which was particularly observed at the beginning of a novel social encounter and fades with time due to habituation. In addition, while the classical social avoidance task does identify the stress-induced social behavioral differences, both DeepOF behavioral pipelines provide a clearer and more detailed profile. Moreover, DeepOF aims to facilitate reproducibility and unification of behavioral classification by providing an open-source tool, which can advance the study of rodent individual and social behavior, thereby enabling biological insights and, for example, subsequent drug development for psychiatric disorders. Accurate phenotyping is key to deciphering behavior. Here, authors show the utility of the software package DeepOF in supervised and unsupervised identification of distinct individual and social behavioral patterns following chronic social stress.
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DOI：
10.1176/appi.focus.16407
发表时间：
2018-10-01
期刊：
Focus (American Psychiatric Publishing)
影响因子：
--
作者：
Cipriani, Andrea;Furukawa, Toshi A;Geddes, John R
通讯作者：
Geddes, John R
影响因子：
5.7
作者：
通讯作者：
--
影响因子：
3.6
作者：
KUDRYAVTSEVA, NN;BAKSHTANOVSKAYA, IV;KORYAKINA, LA
通讯作者：
KORYAKINA, LA
影响因子：
4.8
作者：
Lafabregue, Baptiste;Weber, Jonathan;Forestier, Germain
通讯作者：
Forestier, Germain
影响因子：
2.9
作者：
Hamasato EK;Lovelock D;Palermo-Neto J;Deak T
通讯作者：
Deak T