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

Cardiac Output II: Effect of Stroke Volume on Cardiac Output01:22

Cardiac Output II: Effect of Stroke Volume on Cardiac Output

3.6K
Cardiac output (CO), the amount of blood the heart pumps per minute, is a parameter in cardiovascular physiology determined by stroke volume and heart rate. Stroke volume, the amount of blood pushed from one of the ventricles per heartbeat, is influenced by preload, afterload, and contractility.
Preload
Preload refers to the initial elongation of the cardiac myocytes before contraction and is related to the volume of blood filling the heart at the end of diastole, or end-diastolic volume. The...
3.6K
Cardiac Output I:Effect of Heart Rate on Cardiac Output01:19

Cardiac Output I:Effect of Heart Rate on Cardiac Output

2.8K
Cardiac Output
Cardiac output (CO) refers to the total amount of blood ejected by one of the ventricles in liters per minute (L/min). In a resting adult, CO ranges from 5 to 6 L/min, adjusting according to the body's metabolic requirements.
Effect of Heart Rate on Cardiac Output
Cardiac output adapts to metabolic demands during stress, physical activity, or illness. The autonomic nervous system regulates heart rate via the sinoatrial node. The parasympathetic nervous system decreases heart...
2.8K
The Cardiac Cycle01:13

The Cardiac Cycle

99.1K
The heart beats rhythmically in a sequence called the cardiac cycle—a rapid coordination of contraction (systole) and relaxation (diastole).
The Process
Electrical signals—sent from the sinoatrial (SA) node in the right atrial wall to the atrioventricular (AV) node between the right atrium and right ventricle—cause both atria to simultaneously contract. When the signal reaches the AV node, it pauses for approximately a tenth of a second, allowing the atria to contract and...
99.1K
Cardiac Cycle01:29

Cardiac Cycle

13.3K
The cardiac cycle refers to the sequence of events that occur in the heart from the beginning of one heartbeat to the next. It's characterized by alternating periods of contraction (systole) and relaxation (diastole) of the heart muscles.
During the cardiac cycle, blood flow through the heart is regulated entirely by changing pressure gradients. This sequence of events begins with the heart in a state of total relaxation, known as mid-to-late diastole, during which blood passively flows from...
13.3K
Cardiac Action Potential01:30

Cardiac Action Potential

6.9K
Cardiac action potentials are essential for proper heart function, enabling the rhythmic contractions needed for adequate blood circulation. Nodal cells and Purkinje fibers, specialized for electrical conduction, generate these action potentials.
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials
6.9K
Exercise and Cardiac Output01:17

Exercise and Cardiac Output

2.1K
Regular physical activity is essential for maintaining cardiovascular health, with aerobic exercises being particularly effective. According to the American Heart Association, 150 minutes of moderate to intense aerobic exercise per week is recommended for a healthy heart. Aerobic activities may include brisk walking, running, bicycling, cross-country skiing, and swimming, ideally performed three to five times per week.
Sustained exercise increases the muscles' oxygen demand, which can be...
2.1K

You might also read

Related Articles

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

Sort by
Same author

Orthography implicitly influences the trustworthiness of onscreen information in the Japanese language.

Acta psychologica·2026
Same author

Beyond bendy joints: number of variant connective tissue features predicts neurodivergent characteristics in hypermobile individuals with anxiety.

Npj mental health research·2026
Same author

Brain age prediction in generalized anxiety disorder using a convolutional neural network.

Translational psychiatry·2026
Same author

Acute Anxiety Selectively Enhances Value-Free Random Exploration through Frontoparietal Engagement.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same author

A hierarchical Bayesian model reveals increased precision weighting for afferent cardiac signals, and reduced anxiety, as a function of interoceptive training.

Biological psychology·2026
Same author

Insula Structure Is Linked to Autonomic Cardiac Dysregulation in Depression.

Biological psychiatry·2026

Related Experiment Video

Updated: Feb 15, 2026

Cardiac Catheterization in Mice to Measure the Pressure Volume Relationship: Investigating the Bowditch Effect
07:38

Cardiac Catheterization in Mice to Measure the Pressure Volume Relationship: Investigating the Bowditch Effect

Published on: June 14, 2015

18.8K

Investigating the relationship between cardiac interoception and autonomic cardiac control using a predictive coding

Andrew P Owens1, Karl J Friston2, David A Low3

  • 1Lab of Action & Body, Department of Psychology, Royal Holloway, University of London, Egham, Surrey, UK; Institute of Neurology, University College London, London WC1N 3BG, UK; National Hospital Neurology and Neurosurgery, UCL NHS Trust, London WC1N 3BG, UK.

Autonomic Neuroscience : Basic & Clinical
|January 15, 2018
PubMed
Summary
This summary is machine-generated.

Predictive coding explains how the brain uses interoception to maintain body balance. Orthostatic intolerance patients show deficits in this process, failing to adjust autonomic responses.

Keywords:
Active inferenceAutonomic nervous systemDysautonomiaFree-energy principleHeart rate variabilityHomeostasisInteroceptionInteroceptive (active) inferencePredictive coding

More Related Videos

Measuring Cardiac Autonomic Nervous System ANS Activity in Toddlers - Resting and Developmental Challenges
08:22

Measuring Cardiac Autonomic Nervous System ANS Activity in Toddlers - Resting and Developmental Challenges

Published on: February 25, 2016

16.0K
Measuring Cardiac Autonomic Nervous System ANS Activity in Children
09:45

Measuring Cardiac Autonomic Nervous System ANS Activity in Children

Published on: April 29, 2013

21.5K

Related Experiment Videos

Last Updated: Feb 15, 2026

Cardiac Catheterization in Mice to Measure the Pressure Volume Relationship: Investigating the Bowditch Effect
07:38

Cardiac Catheterization in Mice to Measure the Pressure Volume Relationship: Investigating the Bowditch Effect

Published on: June 14, 2015

18.8K
Measuring Cardiac Autonomic Nervous System ANS Activity in Toddlers - Resting and Developmental Challenges
08:22

Measuring Cardiac Autonomic Nervous System ANS Activity in Toddlers - Resting and Developmental Challenges

Published on: February 25, 2016

16.0K
Measuring Cardiac Autonomic Nervous System ANS Activity in Children
09:45

Measuring Cardiac Autonomic Nervous System ANS Activity in Children

Published on: April 29, 2013

21.5K

Area of Science:

  • Neuroscience
  • Physiology
  • Psychology

Background:

  • Predictive coding models, like the free-energy principle (FEP), explore how interoceptive signals update bodily state predictions.
  • Interoceptive inference, under FEP, offers insights into autonomic dysfunction and brain-body integration.
  • Orthostatic intolerance (OI) encompasses conditions like postural tachycardia syndrome (PoTS) and vasovagal syncope (VVS), characterized by autonomic dysregulation.

Purpose of the Study:

  • To investigate the relationship between cardiac interoception and autonomic cardiac control in healthy individuals and OI patients.
  • To find empirical support for interoceptive inference in the context of autonomic function.
  • To determine if this relationship is affected by increased interoceptive prediction error in OI patients during head-up tilt (HUT).

Main Methods:

  • Measures of interoception and heart rate variability (HRV) were collected from healthy controls (N=20), PoTS patients (N=20), and VVS patients (N=20).
  • Data were recorded in supine and head-up tilt (HUT) positions to simulate symptom provocation.
  • Interoceptive accuracy, sensibility, and awareness were assessed alongside autonomic cardiac control (HRV).

Main Results:

  • Interoceptive accuracy was significantly reduced in both OI groups compared to healthy controls.
  • Healthy controls showed a positive correlation between interoceptive sensibility and HRV when supine.
  • OI groups exhibited a negative correlation between interoceptive awareness and HRV during HUT, indicating altered autonomic response.

Conclusions:

  • The study provides initial support for interoceptive inference as a framework for understanding autonomic (dys)function.
  • OI patients may share a common pathophysiology involving interoceptive deficits impacting cardiovascular autonomic control.
  • Findings suggest OI involves a failure to modulate interoceptive prediction errors and engage appropriate autonomic reflexes during physiological stress.