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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
PubMed
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.

Keywords:
ILFMMATPRISMAinfra-low frequencyneurofeedbackslow brain activitysystematic review

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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.