Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Textbook oncologic outcomes after cytoreductive surgery and HIPEC for colorectal peritoneal metastases: a single-centre cohort analysis.

Pleura and peritoneum·2026
Same author

TROP2 targeting reveals therapy-driven cell state dynamics in colorectal cancer.

Nature·2026
Same author

Long-Term Outcomes After Multiorgan Resection of Primary Gastrointestinal Stromal Tumors.

Annals of surgery open : perspectives of surgical history, education, and clinical approaches·2026
Same author

mRAVE governs lysosomal catabolism through basal and mTORC1-regulated V-ATPase assembly.

The EMBO journal·2026
Same author

Integration and validation of complementary ex vivo assays for functional precision oncology.

NPJ precision oncology·2026
Same author

Scalable hypothalamic neuron differentiation from human pluripotent stem cells suitable for modeling metabolic disorders.

Stem cell reports·2026

Related Experiment Video

Updated: Jun 26, 2026

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research
10:28

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research

Published on: April 21, 2023

Introduction of a continual RIII reflex threshold tracking algorithm.

Falk von Dincklage1, Mark Hackbarth, Martin Schneider

  • 1Charité-Universitätsmedizin Berlin-Department of Anesthesiology, Germany. falk.von-dincklage@charite.de

Brain Research
|January 28, 2009
PubMed
Summary
This summary is machine-generated.

A new continual algorithm accurately tracks the RIII reflex threshold over time. This method offers lower variability than standard techniques, aiding pain research by assessing influences on reflex responses.

More Related Videos

PyOKR: A Semi-Automated Method for Quantifying Optokinetic Reflex Tracking Ability
05:26

PyOKR: A Semi-Automated Method for Quantifying Optokinetic Reflex Tracking Ability

Published on: April 12, 2024

Non-aversive Animal Restraint Enabling Recording of Optomotor Reflex in Ground Squirrels
07:28

Non-aversive Animal Restraint Enabling Recording of Optomotor Reflex in Ground Squirrels

Published on: July 25, 2025

Related Experiment Videos

Last Updated: Jun 26, 2026

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research
10:28

Open-Source Real-Time Closed-Loop Electrical Threshold Tracking for Translational Pain Research

Published on: April 21, 2023

PyOKR: A Semi-Automated Method for Quantifying Optokinetic Reflex Tracking Ability
05:26

PyOKR: A Semi-Automated Method for Quantifying Optokinetic Reflex Tracking Ability

Published on: April 12, 2024

Non-aversive Animal Restraint Enabling Recording of Optomotor Reflex in Ground Squirrels
07:28

Non-aversive Animal Restraint Enabling Recording of Optomotor Reflex in Ground Squirrels

Published on: July 25, 2025

Area of Science:

  • Neuroscience
  • Pain Research
  • Biomedical Engineering

Background:

  • The RIII reflex is a key indicator in pain research.
  • Investigating temporal changes in reflex thresholds is crucial for understanding pain modulation.
  • Existing methods may lack the precision for continuous monitoring.

Purpose of the Study:

  • To introduce and validate a continual reflex threshold tracking algorithm.
  • To assess the algorithm's reliability and compare it with standard methods.
  • To enable detailed investigation of factors influencing reflex thresholds over time.

Main Methods:

  • A continual algorithm was developed for real-time reflex threshold estimation.
  • The algorithm's performance was evaluated by recording reflex occurrence probability over 100 minutes in 10 subjects.
  • Threshold estimates were compared against a standard algorithm in 52 subjects, assessing test-retest variability.

Main Results:

  • The continual algorithm achieved an average reflex occurrence probability of 48.7% at the estimated threshold.
  • No significant changes in the RIII reflex threshold were observed over time.
  • The continual algorithm demonstrated lower test-retest variability (SD = 4.44 mA) compared to the standard algorithm (SD = 4.32 mA).

Conclusions:

  • The continual algorithm provides reliable, continuous estimation of the RIII reflex threshold.
  • The algorithm is suitable for studying dynamic changes in reflex thresholds due to pharmacological or physiological influences.
  • The developed algorithm offers improved precision and consistency for pain research applications.