Beyond nodes and edges: a bibliometric analysis on graph theory and neuroimaging modalities

Understanding the intricate architecture of the brain through the lens of graph theory and advanced neuroimaging techniques has become increasingly pivotal in unraveling the complexities of neural networks. This bibliometric analysis explores the evolving landscape of brain research by focusing on t...

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Bibliographic Details
Published inFrontiers in neuroscience Vol. 18; p. 1373264
Main Authors Mamat, Makliya, Wang, Ziyan, Jin, Ling, He, Kailong, Li, Lin, Chen, Yiyong
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 23.04.2024
Subjects
bibliometric analysis
brain network
graph theory
neuroimaging
Neuroscience
research trends
graph theory
bibliometric analysis
brain network
neuroimaging
research trends
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Summary:Understanding the intricate architecture of the brain through the lens of graph theory and advanced neuroimaging techniques has become increasingly pivotal in unraveling the complexities of neural networks. This bibliometric analysis explores the evolving landscape of brain research by focusing on the intersection of graph theoretical approaches, neuroanatomy, and diverse neuroimaging modalities. A systematic search strategy was used that resulted in the retrieval of a comprehensive dataset of articles and reviews. Using CiteSpace and VOSviewer, a detailed scientometric analysis was conducted that revealed emerging trends, key research clusters, and influential contributions within this multidisciplinary domain. Our review highlights the growing synergy between graph theory methodologies and neuroimaging modalities, reflecting the evolving paradigms shaping our understanding of brain networks. This study offers comprehensive insight into brain network research, emphasizing growth patterns, pivotal contributions, and global collaborative networks, thus serving as a valuable resource for researchers and institutions navigating this interdisciplinary landscape.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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Dahua Yu, Inner Mongolia University of Science and Technology, China
Edited by: Hao Zhang, Central South University, China
Reviewed by: Yangding Li, Hunan Normal University, China
ISSN:1662-4548
1662-453X
1662-453X
DOI:10.3389/fnins.2024.1373264