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Knowledge atlas of white matter microstructure: a bibliometric analysis
Wenhui Song1, Yunhui Chu1, Ziang Yao1
1Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Quantitative Imaging in Medicine and Surgery
|March 28, 2024
Summary
This bibliometric analysis reveals key research trends in white matter microstructure, highlighting diffusion tensor imaging (DTI) as crucial for assessing neural network integrity and identifying emerging hotspots like voxelwise and fixel-based analyses.
Area of Science:
- Neuroscience
- Medical Imaging
- Bibliometrics
Background:
- White matter microstructure is vital for advanced brain functions and neural network integrity.
- Despite increased research, a comprehensive analysis of this field was lacking.
- This study addresses the need for a systematic overview of white matter microstructure research.
Purpose of the Study:
- To conduct a bibliometric analysis of white matter microstructure research.
- To identify research hotspots and trends from 2013 to 2022.
- To provide a systematic understanding for researchers and clinicians.
Main Methods:
- Bibliometric analysis of 5,806 publications from the Web of Science Core Collection (WoSCC).
- Utilized VOSviewer and CiteSpace for objective data analysis.
- Analyzed publication trends, international collaboration, leading institutions, journals, authors, and keywords.
Main Results:
- Annual increase in publications over the decade, with the US, China, UK, and Canada leading.
- Harvard Medical School and Neuroimage identified as top institution and journal.
- Diffusion tensor imaging (DTI) is central, with fractional anisotropy as a key parameter.
- Key research hotspots include movement, distortion correction, voxelwise analysis, and fixel-based analysis.
Conclusions:
- The bibliometric analysis offers a systematic understanding of white matter microstructure research.
- Identified current research frontiers and emerging hotspots.
- Aids clinicians and researchers in navigating the field's landscape.
