Automated preclinical detection of mechanical pain hypersensitivity and analgesia.

"code used for data acquisition and analysis is available at https://github com/alexzihe/palmreader ."

"code used for data acquisition and analysis is available at https://github com/alexzihe/palmreader ."

"Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article."

"This project was funded by grants from the Defense Advanced Research Projects Agency (HR0011-19-2-0022, C. J. Woolf), NIH NINDS (F31 NS084716-02, D. P. Roberson; R35 NS105076, C. J. Woolf; R01 NS089521, C. D. Harvey; F31 NS108450, J. P. Bohnslav; and R01 NA114202, S. R. Datta), the Bertarelli Foundation (C. J. Woolf), the Simons Collaboration on the Global Brain (S. R. Datta), the NIH BRAIN Initiative (U19 NS113201, S. R. Datta; U24 NS109520, S. R. Datta; and R01AT011447, C. J. Woolf), and financial contributions from the Boston Children's Hospital Technology Development Fund. This paper does not reflect the position or the policy of the Government, and no official endorsement should be inferred. N. L. M. Quintão and V. Fattori thank the National Council for Scientific and Technological Development (CNPq, Brazil) for the postdoctoral fellowship (PDE, CNPq, process # 229356/2013-3) and Split Fellowship (Doutorado Sanduiche SWE, CNPq), respectively. The authors thank Alexander Mathis and Mackenzie Mathis for their help in implementing DeepLabCut and Michael Do for helpful suggestions for optimizing data capture. The authors thank Johannes Bill and Jan Drugowitsch for helpful discussions on data analysis and modeling."