Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Functional Brain Systems: Reticular Formation

Functional Brain Systems: Reticular Formation

The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...

Functional Brain Systems: Limbic System

Functional Brain Systems: Limbic System

The limbic system, often called the "emotional brain," is a complex set of structures located deep within the brain. The intricate network of the limbic system supports a wide range of psychological functions, from emotional regulation to memory formation and sensory processing. This functional brain region encompasses specific parts of the diencephalon and the cerebrum, integrating the higher mental functions of the cerebral cortex with the primitive emotional responses of the deep brain...

You might also read

Related Articles

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

Sort by

Same author

A Quantitative Assessment of the Effects of Motivation on Autonomic Cardiorespiratory Activity in Challenging Listening Conditions.

Studies in health technology and informatics·2026

Same author

Curiosity in a Novel Virtual Reality Scenario and Its Association With Symptoms of Depression: Observational Pilot Investigation.

JMIR formative research·2026

Same author

Neural mechanisms underlying blood pressure dynamics and cardiovascular control.

American journal of physiology. Heart and circulatory physiology·2026

Same author

Physiologically inspired modeling of cortical dynamics through spiking neural networks.

Journal of neural engineering·2026

Same author

Novel EEG-based signatures of brain connectivity for imagined speech.

Computers in biology and medicine·2026

Same author

An integrative psychophysiological approach for emotional assessment in outdoor urban settings.

Frontiers in psychology·2026

Search research articles

Related Experiment Video

Updated: Oct 15, 2025

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

Functional brain-heart interplay extends to the multifractal domain.

Vincenzo Catrambone¹, Riccardo Barbieri², Herwig Wendt³

¹Research Center E.Piaggio, Department of Information Engineering, School of Engineering, University of Pisa, Pisa, Italy.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences

|October 25, 2021

Summary

This study introduces a new method to analyze brain-heart interactions using nonlinear and multifractal dynamics. It reveals that complex bodily changes significantly impact these interactions beyond traditional measures, paving the way for new biomarkers.

Keywords:

brain–heart interplay electroencephalography heart rate variability maximal information coefficient multifractal spectra point process

More Related Videos

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

Related Experiment Videos

Last Updated: Oct 15, 2025

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

How to Calculate and Validate Inter-brain Synchronization in a fNIRS Hyperscanning Study

Published on: September 8, 2021

Area of Science:

Neuroscience
Cardiology
Complex Systems

Background:

Brain-heart interplay is crucial in neuroscience and cardiology.
Existing research primarily focuses on linear dynamics of neural and heartbeat signals.
Nonlinear and multifractal behaviors in nervous systems are known but their role in brain-heart interactions is unclear.

Purpose of the Study:

To develop and apply a novel signal processing framework for quantifying nonlinear functional brain-heart interplay.
To investigate brain-heart interactions in non-Gaussian and multifractal domains.
To explore how nonlinear dynamics influence brain-heart coupling.

Main Methods:

Combined electroencephalography (EEG) and heart rate variability (HRV) series.
Developed a framework using maximal information coefficient (MIC) analysis.
Analyzed nonlinear multiscale features from EEG spectra and an inhomogeneous point-process model for HRV.

Main Results:

Identified synchronous changes between brain and heartbeat multifractal spectra.
Observed these changes primarily in higher EEG frequency bands.
Demonstrated nonlinear and complex cardiovascular control during brain-heart interactions.

Conclusions:

Functional brain-heart interplay extends to multifractal dynamics, beyond second-order statistics.
Sympathovagal changes, like those from cold-pressure stimuli, significantly affect this interplay.
The findings offer a basis for novel nervous-system-targeted biomarkers.