An 8-cage imaging system for automated analyses of mouse behavior.
An 8-cage imaging system for automated analyses of mouse behavior.
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DOI：
10.1038/s41598-023-35322-1
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发表时间：
2023-05-19
影响因子：
4.6
通讯作者：
中科院分区：
文献类型：
--
作者：
对小鼠行为的分析用于生物医学研究，以研究健康和疾病时的大脑功能。成熟的快速测定允许行为的高通量分析，但有几个缺点，包括夜间动物的日间行为的测量，动物处理的影响，以及在测试设备中缺乏适应期。我们开发了一种新的8笼成像系统，动画视觉刺激，在22小时过夜记录的小鼠行为的自动化分析。用于图像分析的软件在两个开源程序ImageJ和DeepLabCut中开发。使用4-5个月大的雌性野生型小鼠和3xTg-AD小鼠（一种广泛用于研究阿尔茨海默病（AD）的模型）对成像系统进行了测试。过夜记录提供了多种行为的测量结果，包括对新笼环境的适应、白天和夜间活动、伸展-注意姿势、在各个笼区的位置以及对动画视觉刺激的习惯。野生型和3xTg-AD小鼠的行为特征不同。与野生型小鼠相比，AD模型小鼠表现出对新笼环境的适应性降低，在黑暗的第一个小时内过度活跃，并且在家中花费的时间更少。我们建议成像系统可用于研究各种神经和神经退行性疾病，包括阿尔茨海默病。
The analysis of mouse behavior is used in biomedical research to study brain function in health and disease. Well-established rapid assays allow for high-throughput analyses of behavior but have several drawbacks, including measurements of daytime behaviors in nocturnal animals, effects of animal handling, and the lack of an acclimation period in the testing apparatus. We developed a novel 8-cage imaging system, with animated visual stimuli, for automated analyses of mouse behavior in 22-h overnight recordings. Software for image analysis was developed in two open-source programs, ImageJ and DeepLabCut. The imaging system was tested using 4–5 month-old female wild-type mice and 3xTg-AD mice, a widely-used model to study Alzheimer’s disease (AD). The overnight recordings provided measurements of multiple behaviors including acclimation to the novel cage environment, day and nighttime activity, stretch-attend postures, location in various cage areas, and habituation to animated visual stimuli. The behavioral profiles were different in wild-type and 3xTg-AD mice. AD-model mice displayed reduced acclimation to the novel cage environment, were hyperactive during the first hour of darkness, and spent less time at home in comparison to wild-type mice. We propose that the imaging system may be used to study various neurological and neurodegenerative disorders, including Alzheimer’s disease.
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影响因子：
4.6
作者：
Edmister, Sara Tucker;Hernandez, Thais Del Rosario;Ibrahim, Rahma;Brown, Cameron A.;Gore, Sayali, V;Kakodkar, Rohit;Kreiling, Jill A.;Creton, Robbert
通讯作者：
Creton, Robbert
影响因子：
14.8
作者：
Bruni G;Rennekamp AJ;Velenich A;McCarroll M;Gendelev L;Fertsch E;Taylor J;Lakhani P;Lensen D;Evron T;Lorello PJ;Huang XP;Kolczewski S;Carey G;Caldarone BJ;Prinssen E;Roth BL;Keiser MJ;Peterson RT;Kokel D
通讯作者：
Kokel D
影响因子：
25
作者：
Mathis, Alexander;Mamidanna, Pranav;Bethge, Matthias
通讯作者：
Bethge, Matthias
影响因子：
6.2
作者：
Sonzogni M;Wallaard I;Santos SS;Kingma J;du Mee D;van Woerden GM;Elgersma Y
通讯作者：
Elgersma Y
影响因子：
1.2
作者：
Seibenhener, Michael L.;Wooten, Michael C.
通讯作者：
Wooten, Michael C.