Files and links (1)
Published, Version of Record (VoR)CC BY-NC-ND V4.0, Open
Journal article
Development of a Mouse Pain Scale Using Sub-second Behavioral Mapping and Statistical Modeling
Cell reports (Cambridge), v 28(6), pp 1623-1634.e4
06 Aug 2019
PMID: 31390574
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Rodents are the main model systems for pain research, but determining their pain state is challenging. To develop an objective method to assess pain sensation in mice, we adopt high-speed videography to capture sub-second behavioral features following hind paw stimulation with both noxious and innocuous stimuli and identify several differentiating parameters indicating the affective and reflexive aspects of nociception. Using statistical modeling and machine learning, we integrate these parameters into a single index and create a “mouse pain scale,” which allows us to assess pain sensation in a graded manner for each withdrawal. We demonstrate the utility of this method by determining sensations triggered by three different von Frey hairs and optogenetic activation of two different nociceptor populations. Our behavior-based “pain scale” approach will help improve the rigor and reproducibility of using withdrawal reflex assays to assess pain sensation in mice.
Abdus-Saboor et al. develop a behavior-centered “mouse pain scale” using high-speed videography, statistical modeling, and machine learning. With this method, they assess the sensation induced by noxious, innocuous, and optogenetic stimuli. This method will improve the reliability of using the mouse hind paw withdrawal to measure pain.
Metrics
Details
- Title
- Development of a Mouse Pain Scale Using Sub-second Behavioral Mapping and Statistical Modeling
- Creators
- Ishmail Abdus-Saboor - University of PennsylvaniaNathan T. Fried - Rutgers, The State University of New JerseyMark Lay - Howard Hughes Medical InstituteJustin Burdge - University of PennsylvaniaKathryn Swanson - Department of Biology, Drexel University, College of Arts and Sciences, Philadelphia, PA 19104, USA.Roman Fischer - Department of Biology, Drexel University, College of Arts and Sciences, Philadelphia, PA 19104, USA.Jessica Jones - University of PennsylvaniaPeter Dong - University of PennsylvaniaWeihua Cai - Rutgers, The State University of New JerseyXinying Guo - Rutgers, The State University of New JerseyYuan-Xiang Tao - Rutgers, The State University of New JerseyJohn Bethea - Drexel UniversityMinghong Ma - University of PennsylvaniaXinzhong Dong - Howard Hughes Medical InstituteLong Ding - University of PennsylvaniaWenqin Luo - University of Pennsylvania
- Publication Details
- Cell reports (Cambridge), v 28(6), pp 1623-1634.e4
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Biology; Neurobiology and Anatomy
- Web of Science ID
- WOS:000478978200022
- Scopus ID
- 2-s2.0-85070181237
- Other Identifier
- 991019168889804721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Cell Biology