Mapping the evolution of neurofeedback research: A bibliometric analysis of trends and future directions

• Main Authors: Wider, Walton, Mutang, Jasmine Adela, Chua, Bee Seok, Pang, Nicholas Tze Ping, Jiang, Leilei, Fauzi, Muhammad Ashraf, Udang, Lester Naces
• Format: Article
• Language: English
• Published: Frontiers Media S.A.
• Subjects: AI Indexes (General); HD28 Management. Industrial Management
• Online Access: http://umpir.ump.edu.my/id/eprint/42041/1/2024_FHN_Neurofeedback%20Research.pdf; http://umpir.ump.edu.my/id/eprint/42041/; https://doi.org/10.3389/fnhum.2024.1339444

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.