🧠Pain Monitoring Task If you like our project, please give us a star ⭐ on GitHub for the latest update. This continuous pain rating task assesses pain intensity using the open-source software PsychoPy [1] hosted on Pavlovia [2]. At the start, participants are provided with detailed instructions and asked to complete a short practice run to ensure they understood how the application worked. Once this is completed, participants continuously rated their pain for approximately five minutes on a vertical scale ranging from "Least Pain" to "Most Pain." 🏃Running the Task Create an account on gitlab.pavlovia.org Click on the '+' sign on the top navigation bar and select the 'New project' option. Select 'Import project' and then click the 'Repo by URL' button. Paste our current GitHub URL under the 'Git repository URL' textbox. Voilà! The task is ready to use for your experiment. 🎯Application This task helped us collect pain ratings and highlight the importance of short-term variability in chronic musculoskeletal pain and its potential as a predictor of clinical outcomes. 📝Citation If you find this code repository useful in your research, please cite as follows: Zheng, X., Rajwal, S., Ho, S. Y. S., Ashworth, C., Seymour, B., Shenker, N., & Mancini, F. (2024). Psychopy based Continuous Pain Monitoring Task (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.13754802 Paper under review. Preprint available here: Zheng, Xuanci, Swati Rajwal, Sharon Yuen Shan Ho, Carl Ashworth, Ben Seymour, Nicholas Shenker, and Flavia Mancini. "Short-term variability of chronic musculoskeletal pain." medRxiv (2025): 2025-01. doi: https://doi.org/10.1101/2025.01.12.25320413 👩‍💻Contributing Please create a discussion on the GitHub page to suggest any updates or provide feedback 📚References Peirce, J., Gray, J.R., Simpson, S. et al. *PsychoPy2: Experiments in behavior made easy.* Behav Res 51, 195–203 (2019). https://doi.org/10.3758/s13428-018-01193-y Pavlovia. Pavlovia, https://pavlovia.org/. Accessed 11th September 2024. ⚖️License MIT License