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2024_FHN_Neurofeedback Research.pdf Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
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.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | bibliometrics analysis; co-citation analysis; co-word analysis; human health; neurofeedback; web of science |
| Subjects: | A General Works > AI Indexes (General) H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
| Faculty/Division: | Faculty of Industrial Management |
| Depositing User: | Dr. Muhammad Ashraf Fauzi |
| Date Deposited: | 25 Jul 2024 07:12 |
| Last Modified: | 25 Jul 2024 07:12 |
| URI: | http://umpir.ump.edu.my/id/eprint/42041 |
| Download Statistic: | View Download Statistics |
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