Bibliometric Study of fMRI in Epilepsy Research based on Citespace in China

Abstract

Objective: To conduct a visualized analysis of Chinese literature on applying functional magnetic resonance imaging (fMRI) in epilepsy research from 2010 to 2024 using CiteSpace software, revealing its research status, trends, and hotspots. Materials and Methods: Relevant literature published between 2010 and 2024 was retrieved from the China National Knowledge Infrastructure (CNKI) database. Bibliometric analysis and visualization were performed using Excel and CiteSpace. Results: A total of 255 articles were included. There were numerous author collaborations but limited inter-team cooperation. Institutional collaborations were also scarce. Prominent keywords included "epilepsy," "magnetic resonance imaging," "functional magnetic resonance imaging," and "temporal lobe epilepsy." Nine keyword clusters were identified, including "independent component analysis," "graph theory," "low-frequency amplitude," "magnetic resonance imaging," "working memory," "tuberous sclerosis," "resting-state fMRI," "brain dysfunction," and "focal epilepsy." Conclusion: The main research hotspots in the application of fMRI in epilepsy include "independent component analysis," "graph theory," "low-frequency amplitude," "magnetic resonance imaging," "working memory," "tuberous sclerosis," "resting-state fMRI," "brain dysfunction," and "focal epilepsy." Enhanced collaboration and integration of current research hotspots and frontiers are necessary to advance the field of fMRI application in epilepsy.