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Updated: Oct 12, 2025

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Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
Published on: June 27, 2013
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Spectral Characteristics of EEG during Active Emotional Musical Performance
Jachin Edward Pousson1, Aleksandras Voicikas2, Valdis Bernhofs1
1Jāzeps Vītols Latvian Academy of Music, LV-1050 Riga, Latvia.
Sensors (Basel, Switzerland)
|November 27, 2021
Summary
Musicians
Area of Science:
- Neuroscience
- Music Psychology
- Cognitive Science
Background:
- Research into the neural basis of emotion expression in music performance is limited.
- Understanding how musicians convey emotions intentionally is crucial for music psychology.
- Existing studies often lack direct measures of performer's intended emotional states.
Purpose of the Study:
- To investigate the electroencephalography (EEG) patterns associated with intentional emotion communication in piano performance.
- To differentiate neural activity during emotional versus neutral music playing.
- To correlate self-rated emotional states (arousal, valence) with EEG data.
Main Methods:
- Musicians performed a piano score, intentionally expressing contrasting emotions (e.g., distressed, excited) or playing neutrally.
- Electroencephalography (EEG) data were recorded during both emotional and neutral playing tasks.
- Spectral analysis of EEG signals was used, comparing emotional vs. neutral playing conditions.
Main Results:
- Significant differences in EEG activity were observed between emotional and neutral playing conditions.
- Distinct brain activity patterns emerged when comparing 'distressed/excited' states versus 'neutral/depressed/relaxed' states.
- Emotional playing tasks showed considerable differences in intended arousal and valence levels compared to neutral tasks.
Conclusions:
- EEG can differentiate neural correlates of intentional emotion communication in music performance.
- Specific brain activity patterns are linked to the intended expression of distinct emotional states through music.
- Findings contribute to understanding the neural mechanisms underlying music-performer emotion interaction.

