Published September 12, 2024 | Version 1.0.0
Software Open

Psychopy based Continuous Pain Monitoring Task

Creators

  • 1. Computational and Biological Learning Unit, Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK
  • 2. Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK
  • 3. Institute of Biomedical Engineering, University of Oxford
  • 4. Rheumatology Research Unit, Cambridge University Hospitals, Cambridge, CB2 0QQ
  • 5. Department of Medicine, University of Cambridge, CB2 0QQ

Description

🧠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

  1. Create an account on gitlab.pavlovia.org
  2. Click on the '+' sign on the top navigation bar and select the 'New project' option.
  3. Select 'Import project' and then click the 'Repo by URL' button.
  4. Paste our current GitHub URL under the 'Git repository URL' textbox.
  5. 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

  1. 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
  2. Pavlovia. Pavlovia, https://pavlovia.org/. Accessed 11th September 2024.

⚖️License

MIT License

Files

swati-rajwal/pain_monitoring_task-1.0.0.zip

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Additional details

Identifiers

DOI
10.1101/2025.01.12.25320413

Related works

Is supplement to
Software: https://github.com/swati-rajwal/pain_monitoring_task/tree/1.0.0 (URL)

Software

Repository URL
https://github.com/swati-rajwal/pain_monitoring_task
Programming language
Python, JavaScript, HTML