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Implementation Science Application to EEG Neurofeedback Research: A Call to Action.

Whitney K Norris1, M Kathryn Allison1, Sebern Fisher2

  • 1University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.

Neuroregulation
|August 25, 2025
PubMed
Summary
This summary is machine-generated.

Implementation science is needed to integrate electroencephalogram (EEG) neurofeedback into clinical mental health settings. Further research is crucial for understanding how to effectively apply EEG neurofeedback in real-world practice.

Keywords:
implementation scienceneurofeedbacksystematic review

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Area of Science:

  • Neuroscience
  • Clinical Psychology
  • Implementation Science

Background:

  • Electroencephalogram (EEG) neurofeedback demonstrates established effectiveness for various clinical outcomes.
  • Existing research highlights the expanding applications of EEG neurofeedback across diverse symptom presentations and mechanisms.

Purpose of the Study:

  • To advocate for implementation research in EEG neurofeedback.
  • To address the gap between controlled research settings and real-world clinical application of neurofeedback.

Main Methods:

  • Review of published literature on EEG neurofeedback and implementation science.
  • Identification of the lack of studies integrating implementation science into neurofeedback research.

Main Results:

  • No studies were found that incorporated implementation science to bridge the research-practice gap in EEG neurofeedback.
  • A significant need exists for research on the practical aspects of implementing neurofeedback in clinical settings.

Conclusions:

  • Urgent research is required to explore the feasibility and processes of clinical neurofeedback implementation.
  • Without implementation research, the practical utility and impact of EEG neurofeedback outcome studies are limited.