Jove
Visualize
Contact Us

Related Concept Videos

Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

4.4K
The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent...
4.4K
Pain01:20

Pain

1.1K
Pain serves as a critical warning signal that alerts the body to potential or actual harm. When mechanical pressure on the skin is intense, such as from a sharp pinch, the sensation transitions from touch to pain. Similarly, extreme temperatures, like a hot pot handle, convert the sensation of heat into pain. Pain can also result from overstimulation of other senses, such as blinding light, loud noise, or the intense heat from habañero peppers. This ability to sense pain is essential for...
1.1K
Chronopharmacokinetics: Circadian Rhythms and Influence on Drug Response01:15

Chronopharmacokinetics: Circadian Rhythms and Influence on Drug Response

260
Circadian rhythms are cyclic changes that are crucial in plasma drug concentrations. Various standard circadian parameters, including core body temperature, heart rate, and other cardiovascular factors, directly impact disease states and the therapeutic response to drug therapy.
The time of drug administration is an important factor to consider, as it can influence the toxic dose of a drug. For example, a study conducted by Prins et al. in 1997 examined the effects of the timing of...
260
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

192
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
192
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

196
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
196
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

1.7K
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
1.7K

You might also read

Related Articles

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

Sort by
Same author

Machine learning techniques to classify emotions from electroencephalogram topographic maps: A systematic review.

Computers in biology and medicine·2025
Same author

Analyzing EEG Signals Using Decision Trees: A Study of Modulation of Amplitude.

Computational intelligence and neuroscience·2020
Same author

Discovering Patterns in Brain Signals Using Decision Trees.

Computational intelligence and neuroscience·2016
See all related articles
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 Experiment Video

Updated: Dec 11, 2025

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

13.0K

Circadian Rhythm and Pain: Mathematical Model based on Multiagent Simulation.

Angélica T Dos Santos1, Catia M S Machado2, Diana F Adamatti2

  • 1Universidade Federal do Rio Grande - RS - FURG, Av. Italia s/n km 08, Rio Grande, Brazil. theisangelica@gmail.com.

Journal of Medical Systems
|August 18, 2020
PubMed
Summary
This summary is machine-generated.

Pain disrupts the body's natural 24-hour cycles, impacting sleep and potentially contributing to diseases. This study models how pain affects circadian rhythms, offering insights for medical analysis.

Keywords:
Circadian rhythmMathematical modelMultiagent simulationPain

More Related Videos

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli
09:16

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli

Published on: April 5, 2019

11.3K
Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram
09:00

Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram

Published on: July 7, 2023

4.2K

Related Experiment Videos

Last Updated: Dec 11, 2025

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

13.0K
Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli
09:16

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli

Published on: April 5, 2019

11.3K
Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram
09:00

Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram

Published on: July 7, 2023

4.2K

Area of Science:

  • Chronobiology
  • Computational Biology
  • Mathematical Modeling

Background:

  • Circadian rhythms regulate daily metabolic variations and are crucial for human health.
  • Disruptions in circadian rhythms are linked to diseases like obesity and mental disorders.
  • Sleep regulation is a key function influenced by the body's internal clock.

Purpose of the Study:

  • To develop and analyze a multiagent simulation model of circadian rhythms.
  • To investigate the relationship between circadian rhythm synchronization and pain variables.
  • To understand how pain influences biological rhythms and sleep patterns.

Main Methods:

  • Utilized multiagent simulation for computational modeling.
  • Simulated the synchronization and desynchronization of circadian rhythms.
  • Incorporated pain variables into the circadian rhythm model.

Main Results:

  • Multiagent simulations demonstrated that pain directly affects sleep and biological rhythms.
  • The mathematical model confirmed that pain induces changes in circadian rhythm patterns.
  • Findings highlight the bidirectional relationship between pain and circadian disruption.

Conclusions:

  • Pain significantly impacts and alters the body's natural circadian rhythms.
  • The developed model provides a tool for analyzing pain's effects on biological timing.
  • This research contributes to understanding circadian rhythm disorders in a medical context.