Xu Shengfang, Zhang Jinlong, Yue Songhong, Qian Jifang, Zhu Dalin, Dong Yankai, Liu Guangyao, Zhang Jing
Second Clinical School, Lanzhou University, Lanzhou, China.
Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China.
Quant Imaging Med Surg. 2024 Feb 1;14(2):1526-1540. doi: 10.21037/qims-23-880. Epub 2024 Jan 2.
Neuroimaging plays a central role in the evaluation, treatment, and prognosis of neonates. In recent years, the exploration of the developing brain has been a major focus of research for researchers and clinicians. In this study, we conducted bibliometric and visualization analyses of the related studies in the field of neonatal magnetic resonance imaging (MRI) brain neuroimaging from the past 10 years, and summarized its research status, hotspots, and frontier development trends.
The Web of Science core collection database was used as the literature source from which to retrieve the relevant papers and reviews in the field of neonatal MRI brain neuroimaging published in the Science Citation Index-Expanded from 2013 to 2022. VOSviewer and CiteSpace were used to conduct bibliometric and visualization analyses of the annual publication volume, countries, institutions, journals, authors, co-cited literature, and the overall distribution of keywords.
We retrieved 3,568 papers and reviews published from 2013 to 2022. The number of publications increased during this period. The United States (US) and the United Kingdom were the largest contributors, with the US receiving the highest H-index and number of citations. The institutions that published the most were the University of London and Harvard University. The research mainly focused on cerebral cortex, brain tissue, brain structure network, artificial intelligence algorithm, automatic image segmentation, and premature infants.
This study reveals the research status and hotspots of magnetic resonance imaging in the field of neonatal brain neuroimaging in the past decade, which helps researchers to better understand the research status, hotspots, and frontier development trends.
神经影像学在新生儿的评估、治疗和预后中起着核心作用。近年来，对发育中大脑的探索一直是研究人员和临床医生的主要研究重点。在本研究中，我们对过去10年新生儿磁共振成像（MRI）脑神经影像学领域的相关研究进行了文献计量和可视化分析，并总结了其研究现状、热点和前沿发展趋势。
以科学网核心合集数据库作为文献来源，检索2013年至2022年发表在《科学引文索引扩展版》上的新生儿MRI脑神经影像学领域的相关论文和综述。使用VOSviewer和CiteSpace对年发表量、国家、机构、期刊、作者、共被引文献以及关键词的总体分布进行文献计量和可视化分析。
我们检索到2013年至2022年发表的3568篇论文和综述。在此期间发表数量有所增加。美国和英国是最大的贡献者，美国的H指数和被引次数最高。发表最多的机构是伦敦大学和哈佛大学。研究主要集中在大脑皮层、脑组织、脑结构网络、人工智能算法、自动图像分割和早产儿。
本研究揭示了过去十年新生儿脑神经影像学领域磁共振成像的研究现状和热点，有助于研究人员更好地了解研究现状、热点和前沿发展趋势。
