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A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

Modulation of critical brain dynamics using closed-loop neurofeedback stimulation.

Alexander Zhigalov¹, Alexander Kaplan², J Matias Palva³

¹Neuroscience Center, University of Helsinki, Helsinki 00014, Finland; Laboratory for Neurophysiology and Neuro-Computer Interfaces, Faculty of Biology, Lomonosov Moscow State University, Moscow 119991, Russia.

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology

|June 4, 2016

Summary

This summary is machine-generated.

This study demonstrates that electroencephalography long-range temporal correlations (LRTCs) can be enhanced non-invasively using closed-loop neurofeedback stimulation, offering new therapeutic possibilities for brain disorders.

Keywords:

Closed-loop stimulation Critical neuronal dynamics Electroencephalography Excitation–inhibition balance Long-range temporal correlations

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Area of Science:

Neuroscience
Computational Neuroscience
Brain Dynamics

Background:

Long-range temporal correlations (LRTCs) in EEG are crucial for human cognition and implicated in brain disorders.
Current methods to influence EEG LRTCs non-invasively are limited, primarily to sensory disruption.

Purpose of the Study:

To investigate the feasibility of controlling EEG LRTCs through intrinsic neuroregulation via closed-loop neurofeedback stimulation.
To test if engaging intrinsic neuroregulation can modulate brain dynamics non-invasively.

Main Methods:

A closed-loop stimulation paradigm was employed, triggering visual stimuli based on supra-threshold alpha-wave activity.
Subjects underwent eyes-closed resting-state tasks with either real neurofeedback or a sham control condition.

Main Results:

A significant increase in alpha-band oscillation LRTCs and their scalp topography was observed in the neurofeedback condition compared to sham.
No significant changes in alpha-band power scalp topography were detected in either condition.

Conclusions:

This study provides proof-of-concept that EEG LRTCs can be modulated automatically and involuntarily using closed-loop stimulation.
The findings suggest that closed-loop neuroregulation alters the brain's excitation-inhibition balance, impacting critical dynamics.