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

You might also read

Related Articles

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

Sort by

Same author

EEG microstates reveal differential network dynamics under constant current and oscillatory brain stimulation.

NeuroImage·2026

Same author

No Evidence of Phase-Amplitude Coupling in Auditory Steady-State Responses.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026

Same author

Serotonergic modulation of cortical gamma synchronization: right-lateralized psilocin effects on 40 Hz auditory steady-state responses in rats.

Journal of neurophysiology·2026

Same author

The ability to drive cortical networks in the low gamma range differs between sexes.

iScience·2026

Same author

Developmental and aging trajectories of 40-Hz auditory steady-state responses: A systematic review across the human lifespan.

Developmental cognitive neuroscience·2026

Same author

EEG microstate dynamics are consistently associated with depressive symptoms in healthy young adults.

Cognitive neurodynamics·2026

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 20, 2025

Recording Brain Activity with Ear-Electroencephalography

Recording Brain Activity with Ear-Electroencephalography

Published on: March 31, 2023

EEG Connectivity during Active Emotional Musical Performance.

Mahrad Ghodousi¹, Jachin Edward Pousson², Aleksandras Voicikas¹

¹Department of Neurobiology and Biophysics, Vilnius University, 10257 Vilnius, Lithuania.

Sensors (Basel, Switzerland)

|June 10, 2022

Summary

This summary is machine-generated.

Electroencephalography (EEG) connectivity in beta and gamma frequencies effectively reveals neural network states during musical emotion transfer. Low-frequency bands show limited utility for distinguishing emotional playing states.

Keywords:

EEG active performance connectivity emotion music

More Related Videos

Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome

Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome

Published on: July 31, 2016

Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials

Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials

Published on: November 15, 2014

Related Experiment Videos

Last Updated: Sep 20, 2025

Recording Brain Activity with Ear-Electroencephalography

Recording Brain Activity with Ear-Electroencephalography

Published on: March 31, 2023

Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome

Conscious and Non-conscious Representations of Emotional Faces in Asperger's Syndrome

Published on: July 31, 2016

Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials

Measuring Neural and Behavioral Activity During Ongoing Computerized Social Interactions: An Examination of Event-Related Brain Potentials

Published on: November 15, 2014

Area of Science:

Neuroscience
Music Psychology
Cognitive Science

Background:

Research on the neural basis of emotion transfer in music performance is limited.
Current studies primarily focus on emotions evoked by music, not the performer's intentional transfer.

Purpose of the Study:

To investigate if electroencephalography (EEG) connectivity patterns can differentiate information exchange during intentional emotional music playing.
To identify specific brain connectivity features associated with successful emotion transfer in music performance.

Main Methods:

Recorded EEG data from piano performers playing a score with contrasting emotional intentions.
Applied Granger Causality to assess brain connectivity patterns across delta, theta, alpha, beta, and gamma frequency bands.
Identified discriminating features shared across neutral and emotional playing conditions.

Main Results:

Low-frequency bands (delta, theta, alpha) showed minimal connections (4-6) distinguishing emotional playing.
High-frequency bands (beta and gamma) exhibited dense connectivity patterns (30-38 connections) that discriminated between emotional conditions.
EEG connectivity in beta and gamma ranges effectively reflected neural states during emotional transfer.

Conclusions:

EEG-based brain connectivity in beta and gamma frequency ranges is a promising indicator of neural network activity during intentional musical emotion transfer.
The utility of low-frequency bands (delta, theta, alpha) for assessing emotion transfer in music performance remains uncertain.