Wider W, Mutang JA, Chua BS, Pang NTP, Jiang L, Fauzi MA, Udang LN. Mapping the evolution of neurofeedback research: a bibliometric analysis of trends and future directions.
Front Hum Neurosci 2024;
18:1339444. [PMID:
38799297 PMCID:
PMC11116792 DOI:
10.3389/fnhum.2024.1339444]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 04/23/2024] [Indexed: 05/29/2024] Open
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.
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