Mapping the evolution of neurofeedback research: a bibliometric analysis of trends and future directions
Introduction: This study conducts a bibliometric analysis on neurofeedback research to assess its current state and potential future developments. Methods: It examined 3,626 journal articles from the Web of Science (WoS) using co-citation and co-word methods. Results: The co-citation analysis identi...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en en |
| Published: |
Frontiers
2024
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/41016/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/41016/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/41016/ https://doi.org/10.3389/fnhum.2024.1339444 |
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| Summary: | Introduction: This study conducts a bibliometric analysis on neurofeedback research to assess its current state and potential future developments. Methods: It examined 3,626 journal articles from the Web of Science (WoS) using co-citation and co-word methods. Results: The co-citation analysis identified three major clusters: “Real-Time fMRI Neurofeedback and Self-Regulation of Brain Activity,” “EEG Neurofeedback and Cognitive Performance Enhancement,” and “Treatment of ADHD Using Neurofeedback.” The co-word analysis highlighted four key clusters: “Neurofeedback in Mental Health Research,” “Brain-Computer Interfaces for Stroke Rehabilitation,” “Neurofeedback for ADHD in Youth,” and “Neural Mechanisms of Emotion and Self-Regulation with Advanced Neuroimaging. Discussion: This in-depth bibliometric study significantly enhances our understanding of the dynamic field of neurofeedback, indicating its potential in treating ADHD and improving performance. It offers non-invasive, ethical alternatives to conventional psychopharmacology and aligns with the trend toward personalized medicine, suggesting specialized solutions for mental health and rehabilitation as a growing focus in medical practice. |
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