RT Journal Article
SR Electronic
T1 High-Speed Imaging of Paw Withdrawal Reflex to Objectively Assess Pain State in Mice
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 263400
DO 10.1101/263400
A1 Abdus-Saboor, Ishmail
A1 Fried, Nathan T.
A1 Lay, Mark
A1 Dong, Peter
A1 Burdge, Justin
A1 Lu, Ming
A1 Ma, Minghong
A1 Dong, Xinzhong
A1 Ding, Long
A1 Luo, Wenqin
YR 2018
UL http://biorxiv.org/content/early/2018/02/12/263400.abstract
AB Rodents are often used for studying chronic pain mechanisms and developing new pain therapeutics, but objectively determining the animal’s pain state is a major challenge. To improve the precision of using reflexive withdrawal behaviors for interpreting the mouse pain state, we adopted high-speed videography to capture sub-second movement features of mice upon hind paw stimulation. We identified several parameters that are significantly different between behaviors evoked by innocuous and noxious stimuli, and combined them to map the mouse pain state through statistical modeling and machine learning. To test the utility of this approach, we determined the pain state triggered by von Frey hairs (VFHs) and optogenetic activation of two nociceptor populations. Our method reliably assesses the “pain-like” probability for each mouse paw withdrawal reflex under all scenarios, highlighting the improved precision of using this high resolution behavior-centered composite methodology to determine the mouse pain state from reflexive withdrawal assays.