An automated rat grimace scale for the assessment of pain.
An automated rat grimace scale for the assessment of pain.
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DOI：
10.1038/s41598-023-46123-x
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发表时间：
2023-11-01
影响因子：
4.6
通讯作者：
中科院分区：
文献类型：
--
作者：
疼痛是一种复杂的神经心理社会体验，是内部和私人的，使其难以在人类和动物中评估。在疼痛研究中，动物模型被广泛使用，大鼠是最常用的研究对象之一。大鼠鬼脸量表（RGS）测量四个面部动作单位来量化大鼠的疼痛行为。然而，手动记录RGS分数是一个耗时的过程，需要培训。虽然计算机视觉模型已经被开发并用于各种鬼脸尺度，但目前还没有用于RGS的模型。为了解决这一差距，本研究致力于开发一个自动RGS系统，该系统可以检测大鼠图像中的面部动作单元并预测RGS分数。该自动化系统实现了97%的动作单元检测精度和召回率。此外，动作单元RGS分类器实现了81- 93%的加权准确率。该系统的性能使用爆炸创伤性脑损伤研究进行了评估，并与受过训练的人类评分员进行了比较。结果显示，总RGS评分的组内相关系数为0.82，表明该系统与人类评分器相当。该自动化工具可以通过为RGS的评估提供标准化和有效的方法来加强疼痛研究。
Pain is a complex neuro-psychosocial experience that is internal and private, making it difficult to assess in both humans and animals. In pain research, animal models are prominently used, with rats among the most commonly studied. The rat grimace scale (RGS) measures four facial action units to quantify the pain behaviors of rats. However, manual recording of RGS scores is a time-consuming process that requires training. While computer vision models have been developed and utilized for various grimace scales, there are currently no models for RGS. To address this gap, this study worked to develop an automated RGS system which can detect facial action units in rat images and predict RGS scores. The automated system achieved an action unit detection precision and recall of 97%. Furthermore, the action unit RGS classifiers achieved a weighted accuracy of 81–93%. The system’s performance was evaluated using a blast traumatic brain injury study, where it was compared to trained human graders. The results showed an intraclass correlation coefficient of 0.82 for the total RGS score, indicating that the system was comparable to human graders. The automated tool could enhance pain research by providing a standardized and efficient method for the assessment of RGS.
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影响因子：
7.4
作者：
Hicks, CL;von Baeyer, CL;Goodenough, B
通讯作者：
Goodenough, B
DOI：
10.1016/j.ynpai.2017.10.001
发表时间：
2017-08
期刊：
Neurobiology of pain (Cambridge, Mass.)
影响因子：
--
作者：
Akintola T;Raver C;Studlack P;Uddin O;Masri R;Keller A
通讯作者：
Keller A
影响因子：
3.7
作者：
Lencioni GC;de Sousa RV;de Souza Sardinha EJ;Corrêa RR;Zanella AJ
通讯作者：
Zanella AJ
DOI：
10.1016/b978-0-12-802151-4.00007-4
发表时间：
2016-11-25
期刊：
Principles of Animal Research for Graduate and Undergraduate Students
影响因子：
--
作者：
Hickman DL;Johnson J;Vemulapalli TH;Crisler JR;Shepherd R
通讯作者：
Shepherd R
影响因子：
3.7
作者：
Oliver V;De Rantere D;Ritchie R;Chisholm J;Hecker KG;Pang DS
通讯作者：
Pang DS