Related Experiment Video
Updated: Feb 20, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
Published on: June 15, 2018
Resting-state brain correlates of cardiovascular complexity
Brain activity in specific cortical areas, including the temporal and frontal regions, is linked to complex heart rate dynamics. This research explores the brain
Area of Science:
- Neuroscience
- Cardiovascular Physiology
- Complexity Science
Background:
- Complex cardiac measures offer prognostic and diagnostic value for various pathologies.
- Brain correlates of complex heart rate and sympatho-vagal dynamics remain largely unknown.
Purpose of the Study:
- To investigate the brain areas associated with complex cardiovascular control.
- To explore the relationship between heart rate complexity and brain activity in healthy individuals.
Main Methods:
- Utilized resting-state functional Magnetic Resonance Imaging (fMRI) data from 34 healthy subjects (Human Connectome Project).
- Applied inhomogeneous point-process approximate and sample entropy (ipApEn and ipSampEn) to assess heartbeat complexity.
- Correlated physiological signal acquisition with fMRI data.
Main Results:
- Negative correlations observed between ipApEn and activity in the Temporal Gyrus, Frontal Orbital Cortex, Temporal Fusiform and Opercular cortices, Planum Temporale, and Paracingulate cortex.
- Negative correlations also found between ipSampEn and activity in these same cortical areas, including the Temporal Fusiform cortex.
- No significant positive correlations were identified.
Conclusions:
- Cardiovascular complexity at rest is associated with specific cortical brain structures.
- Findings suggest a link to brain areas involved in parasympathetic outflow.
- Supports a multidimensional central network controlling nonlinear cardiac dynamics, primarily under vagal tone.
More Related Videos
07:13Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
Published on: May 27, 2020
07:56Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
Published on: June 24, 2025
Related Concept Videos
Imaging Studies for Cardiovascular System IV: CMRI
Blood Studies for Cardiovascular System I: Cardiac Biomarkers
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
Factors Influencing Heart Rate
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
Cardiac Output II: Effect of Stroke Volume on Cardiac Output
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...
Cardiac Output I:Effect of Heart Rate on 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...
Cardiac Output and Stroke Volume
In an average resting adult male, the typical cardiac...