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Infra-Low Frequency Neurofeedback: A Systematic Mixed Studies Review
Fabian Bazzana1, Sarah Finzi1, Giulia Di Fini1
1Department of Psychology, University of Turin, Turin, Italy.
Frontiers in Human Neuroscience
|July 29, 2022
Summary
Infra-Low Frequency (ILF) Neurofeedback shows potential for regulating brain activity and neurophysiological processes. Its individualized approach is key to effectiveness, though it presents research challenges.
Area of Science:
- Neuroscience
- Clinical Psychology
- Biomedical Engineering
Background:
- Neurofeedback training is gaining traction for various disorders.
- Distinguishing between different neurofeedback protocols is crucial for understanding effectiveness.
- Infra-Low Frequency (ILF) training is a recent methodology focused on slow brain activity.
Approach:
- A literature review was conducted following PRISMA principles.
- The quality of existing ILF-Neurofeedback studies was assessed using the MMAT appraisal tool.
- 18 studies on ILF-Neurofeedback in human subjects were analyzed, including group and single-case studies.
Key Points:
- ILF-Neurofeedback demonstrates potential in influencing brain activity and neurovegetative parameters.
- A key characteristic of ILF-Training is its high degree of individualization, correlating with effectiveness.
- Individualization poses challenges for controlled and comparable research findings.
Conclusions:
- ILF-Neurofeedback holds significant promise for conditions requiring brain activity and neurophysiological regulation.
- Further research is recommended to address challenges and expand the understanding of ILF-Neurofeedback applications.
- ILF-Neurofeedback may be a valuable tool for optimizing central nervous system regulation.
