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新生儿脑电图知识图谱:文献计量分析(2004-2022 年)。

Knowledge mapping of neonatal electroencephalogram: A bibliometric analysis (2004-2022).

机构信息

Department of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.

Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

出版信息

Brain Behav. 2024 May;14(5):e3483. doi: 10.1002/brb3.3483.


DOI:10.1002/brb3.3483
PMID:38680038
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11056713/
Abstract

BACKGROUND: Electroencephalography (EEG), a widely used noninvasive neurophysiological diagnostic tool, has experienced substantial advancements from 2004 to 2022, particularly in neonatal applications. Utilizing a bibliometric methodology, this study delineates the knowledge structure and identifies emergent trends within neonatal EEG research. METHODS: An exhaustive literature search was conducted on the Web of Science Core Collection (WoSCC) database to identify publications related to neonatal EEG from 2004 to 2022. Analytical tools such as VOSviewer, CiteSpace, and the R package "bibliometrix" were employed to facilitate this investigation. RESULTS: The search yielded 2501 articles originating from 79 countries, with the United States and England being the predominant contributors. A yearly upward trend in publications concerning neonatal EEG was observed. Notable research institutions leading this field include the University of Helsinki, University College London, and University College Cork. Clinical Neurophysiology is identified as the foremost journal in this realm, with Pediatrics as the most frequently co-cited journal. The collective body of work from 9977 authors highlights Sampsa Vanhatalo as the most prolific contributor, while Mark Steven Scher is recognized as the most frequently co-cited author. Key terms such as "seizures," "epilepsy," "hypoxic-ischemic encephalopathy," "amplitude-integrated EEG," and "brain injury" represent the focal research themes. CONCLUSION: This bibliometric analysis offers the first comprehensive review, encapsulating research trends and progress in neonatal EEG. It reveals current research frontiers and crucial directions, providing an essential resource for researchers engaged in neonatal neuroscience.

摘要

背景:脑电图(EEG)作为一种广泛应用的非侵入性神经生理学诊断工具,自 2004 年至 2022 年经历了重大发展,尤其在新生儿应用领域。本研究采用文献计量学方法,描绘了新生儿脑电图研究的知识结构,并确定了新兴趋势。

方法:在 Web of Science 核心合集(WoSCC)数据库中进行了全面的文献检索,以确定 2004 年至 2022 年与新生儿脑电图相关的出版物。采用 Vosviewer、Citespace 和 R 包“bibliometrix”等分析工具进行了分析。

结果:检索结果共包含来自 79 个国家的 2501 篇文章,美国和英国是主要贡献者。有关新生儿脑电图的出版物呈逐年上升趋势。该领域的主要研究机构包括赫尔辛基大学、伦敦大学学院和科克大学学院。Clinical Neurophysiology 是该领域的首要期刊,而 Pediatrics 是被引用最多的期刊。来自 9977 位作者的集体著作突出了 Sampsa Vanhatalo 作为最具影响力的作者,而 Mark Steven Scher 则被认为是最常被引用的作者。关键词如“发作”、“癫痫”、“缺氧缺血性脑病”、“振幅整合脑电图”和“脑损伤”代表了聚焦的研究主题。

结论:这项文献计量分析提供了对新生儿脑电图研究趋势和进展的首次全面综述。它揭示了当前的研究前沿和关键方向,为从事新生儿神经科学研究的人员提供了重要资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/ea7f8d3b2cf1/BRB3-14-e3483-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/7b0a4827b6b8/BRB3-14-e3483-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/32486deaeb9c/BRB3-14-e3483-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/1efdde0d0b32/BRB3-14-e3483-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/fdc18bae3e2c/BRB3-14-e3483-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/2615203b91de/BRB3-14-e3483-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/e4b55d51bd1a/BRB3-14-e3483-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/e554495101fa/BRB3-14-e3483-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/5013540dade2/BRB3-14-e3483-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/c63f219740f3/BRB3-14-e3483-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/ea7f8d3b2cf1/BRB3-14-e3483-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/7b0a4827b6b8/BRB3-14-e3483-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/32486deaeb9c/BRB3-14-e3483-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/1efdde0d0b32/BRB3-14-e3483-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/fdc18bae3e2c/BRB3-14-e3483-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/2615203b91de/BRB3-14-e3483-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/e4b55d51bd1a/BRB3-14-e3483-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/e554495101fa/BRB3-14-e3483-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/5013540dade2/BRB3-14-e3483-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/c63f219740f3/BRB3-14-e3483-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f3/11056713/ea7f8d3b2cf1/BRB3-14-e3483-g010.jpg

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本文引用的文献

[1]
Mapping Knowledge Structure and Themes Trends of Osteoporosis in Rheumatoid Arthritis: A Bibliometric Analysis.

Front Med (Lausanne). 2021-11-23

[2]
Automated cot-side tracking of functional brain age in preterm infants.

Ann Clin Transl Neurol. 2020-6

[3]
The Innovative and Sustainable Use of Dental Panoramic Radiographs for the Detection of Osteoporosis.

Int J Environ Res Public Health. 2020-4-3

[4]
Knowledge Domain and Emerging Trends in Vinegar Research: A Bibliometric Review of the Literature from WoSCC.

Foods. 2020-2-10

[5]
Influence of etiology on treatment choices for neonatal seizures: A survey among pediatric neurologists.

Brain Dev. 2019-8

[6]
Electroencephalography.

Curr Biol. 2019-2-4

[7]
EEG-based age-prediction models as stable and heritable indicators of brain maturational level in children and adolescents.

Hum Brain Mapp. 2019-1-4

[8]
Trends in hepatocellular carcinoma research from 2008 to 2017: a bibliometric analysis.

PeerJ. 2018-8-15

[9]
Neonatal Seizure Detection Using Deep Convolutional Neural Networks.

Int J Neural Syst. 2018-4-2

[10]
EEG findings and outcomes of continuous video-EEG monitoring started prior to initiation of seizure treatment in the perinatal stroke.

Early Hum Dev. 2018-5

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