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A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
Published on: August 24, 2017
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Neurofeedback for cognitive enhancement and intervention and brain plasticity
C Loriette1, C Ziane1, S Ben Hamed1
1CNRS UMR 5229, Institut des Sciences Cognitives Marc-Jeannerod, Université Claude-Bernard Lyon 1, 67, boulevard Pinel, 69675 Bron cedex, France.
Revue Neurologique
|October 22, 2021
Summary
Neurofeedback training enhances cognitive functions by teaching individuals to control brain activity, leading to functional brain changes. This review explores its benefits, mechanisms, and current research challenges.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Biomedical Engineering
Background:
- Neurofeedback is a cognitive training technique that uses real-time brain activity feedback to enhance cognitive functions.
- The core principle involves training individuals to self-regulate specific brain activity patterns.
- This self-regulation is hypothesized to induce cognitive enhancements and neuroplastic changes.
Purpose of the Study:
- To review the methodological principles of neurofeedback.
- To describe the behavioral benefits of neurofeedback in clinical and experimental settings.
- To analyze current challenges and future directions in neurofeedback research.
Main Methods:
- Review of existing literature on neurofeedback principles, applications, and effects.
- Analysis of neurofeedback's impact on striato-frontal networks and targeted cortical networks.
- Examination of neuroplasticity and learning mechanisms underlying neurofeedback.
Main Results:
- Neurofeedback demonstrates behavioral benefits in both clinical and experimental contexts.
- Effects include non-specific impacts on reinforcement learning networks and specific changes in targeted cortical areas.
- Evidence suggests learning and neuroplasticity contribute to observed improvements.
Conclusions:
- Neurofeedback holds promise as a tool for cognitive enhancement and clinical intervention.
- Further research is needed to address challenges in quantifying temporal dynamics, generalizability, control conditions, and advanced signal processing.
- Refining methodologies is crucial for disambiguating true neurofeedback effects from placebo and for developing more sophisticated applications.
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