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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

[A new neuroscientific approach using decoded neurofeedback (DecNef)].

Kazuhisa Shibata¹

¹Brain Information Communication Research Laboratory Group, Advanced Telecommunication Research Institute International.

Rinsho Shinkeigaku = Clinical Neurology

|December 1, 2012

Summary

Decoded neurofeedback (DecNef) trains brain activation patterns using fMRI, leading to improved perception. This novel technique offers insights into brain-behavior relationships and potential therapeutic applications.

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Area of Science:

Neuroscience
Cognitive Science
Medical Technology

Context:

Neurofeedback, a brain-computer interface, has emerged as a potential therapeutic for psychiatric and rehabilitation applications.
Recent advancements have led to the development of decoded neurofeedback (DecNef), utilizing functional magnetic resonance imaging (fMRI).

Purpose:

To introduce the decoded neurofeedback (DecNef) method, a novel technique employing fMRI for targeted brain activation regulation.
To investigate the causal relationship between specific neural activation patterns and subsequent perceptual changes.

Summary:

DecNef trains subjects to intentionally modulate neural activation patterns within a specific brain region towards a predefined target state.
Short-term DecNef training (several days) resulted in perceptual improvements directly corresponding to the induced neural states.

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Last Updated: May 16, 2026

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

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Published on: August 24, 2017

Decoding Natural Behavior from Neuroethological Embedding

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This method establishes a direct link between targeted neural activity and alterations in perception, cognition, and behavior.

Impact:

DecNef serves as a powerful tool for cognitive and systems neuroscience research, enabling the testing of cause-and-effect relationships.
The underlying principle of guiding neural activation patterns holds significant potential for diverse applications in engineering and medical treatments.
This technology advances our understanding of brain function and opens new avenues for therapeutic interventions.