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Updated: Jun 23, 2026

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
Published on: August 24, 2017
Biofeedback in psychomotor training. Electrophysiological basis
O M Bazanova1, E M Mernaya, M B Shtark
1State Research Institute of Biology and Biophysics, Siberian Branch, Russian Academy of Medical Sciences, 2 Timakov Street, 630117, Novosibirsk, Russia. bazanova@soramn.ru
Biofeedback training enhanced musical practice by improving electroencephalogram (EEG) alpha rhythms and reducing muscle activity. This psychomotor learning efficacy varied based on individual EEG alpha characteristics.
Area of Science:
- Neuroscience
- Music Performance
- Biofeedback
Background:
- Musicians utilize technical practice for optimal performance.
- Electrophysiological markers can indicate optimal performance states.
- Biofeedback may enhance traditional practice methods.
Purpose of the Study:
- To investigate the effects of traditional musical practice versus practice supplemented with alpha-EEG/EMG biofeedback.
- To analyze electrophysiological changes associated with each practice method.
- To determine the influence of initial EEG characteristics on biofeedback efficacy.
Main Methods:
- Thirty-nine music students participated in the study.
- One group engaged in traditional technical practice.
- The other group combined practice with alpha-EEG/EMG biofeedback sessions.
Main Results:
- Traditional practice led to increased integrated electromyography (EMG) power and decreased alpha activity in some students.
- Alpha-EEG/EMG biofeedback resulted in enhanced EEG alpha rhythm frequency, bandwidth, and activation in all subjects.
- Biofeedback also decreased overall EEG integral power.
Conclusions:
- Alpha-EEG/EMG biofeedback significantly modulated electrophysiological markers related to music performance.
- The effectiveness of biofeedback and psychomotor learning is contingent upon individual baseline EEG alpha activity.
- Biofeedback presents a promising adjunct to traditional practice for musicians.
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