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What Else Is Happening to the Mirror Neurons?—A Bibliometric Analysis of Mirror Neuron Research Trends and Future Directions (1996–2024)

Psychology

What Else Is Happening to the Mirror Neurons?—A Bibliometric Analysis of Mirror Neuron Research Trends and Future Directions (1996–2024)

Y. Sun, N. Yu, et al.

This bibliometric analysis (1996–2024) maps the trajectory of mirror neuron research—peaking in 2013—highlighting core topics like intention understanding, affective empathy, motor learning, autism, neurostimulation, and emerging importance of BCIs and AI-integrations, and traces methodological shifts from electrophysiology to fMRI, TMS, and BCIs. Research conducted by Yangyang Sun, Ningyao Yu, Guanchu Chen, Tongwei Liu, Shengjun Wen, and Wei Chen.

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~3 min • Beginner • English
Abstract
Background: Since its discovery in the late 20th century, research on mirror neurons has become a pivotal area in neuroscience, linked to various cognitive and social functions. This bibliometric analysis explores the research trajectory, key research topics, and future trends in the field of mirror neuron research. Methods: We searched the Web of Science Core Collection (WoSCC) database for publications from 1996 to 2024 on mirror neuron research. Statistical and visualization analyses were performed using CiteSpace and VOSviewer. Results: Publication output on mirror neurons peaked in 2013 and remained active. High-impact journals such as Science, Brain, Neuron, PNAS, and NeuroImage frequently feature findings on the mirror neuron system, including its distribution, neural coding, and roles in intention understanding, affective empathy, motor learning, autism, and neurological disorders. Keyword clustering reveals major directions in cognitive neuroscience, motor neuroscience, and neurostimulation, whereas burst detection underscores the emerging significance of brain-computer interfaces (BCIs). Research methodologies have been evolving from traditional electrophysiological recordings to advanced techniques such as functional magnetic resonance imaging, transcranial magnetic stimulation, and BCIs, highlighting a dynamic, multidisciplinary progression. Conclusions: This study identifies key areas associated with mirror neurons and anticipates that future work will integrate findings with artificial intelligence, clinical interventions, and novel neuroimaging techniques, providing new perspectives on complex socio-cognitive issues and their applications in both basic science and clinical practice.
Publisher
Brain and Behavior
Published On
Authors
Yangyang Sun, Ningyao Yu, Guanchu Chen, Tongwei Liu, Shengjun Wen, Wei Chen
Tags
mirror neurons
mirror neuron system
cognitive neuroscience
motor learning
brain-computer interfaces (BCIs)
neuroimaging (fMRI/TMS)
autism
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