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

Area of Science:

• Neuroscience
• Clinical Neurophysiology
• Pediatrics

Background:

• Electroencephalography (EEG) is a vital noninvasive tool for diagnosing neurological conditions.
• Neonatal EEG applications have seen significant advancements between 2004 and 2022.
• Bibliometric analysis is used to map the knowledge structure and emerging trends in neonatal EEG research.

Purpose of the Study:

• To conduct a comprehensive bibliometric analysis of neonatal EEG research.
• To identify the knowledge structure, key contributors, and influential publications.
• To delineate emergent trends and future research directions in the field.

Main Methods:

• A systematic literature search was performed on the Web of Science Core Collection (WoSCC) database for publications from 2004 to 2022.
• Bibliometric analysis was conducted using VOSviewer, CiteSpace, and the R package 'bibliometrix'.
• Data analysis focused on publication trends, country contributions, leading institutions, key journals, prolific authors, and prevalent research themes.

Main Results:

• A total of 2501 articles from 79 countries were identified, with the United States and England as leading contributors.
• An increasing publication trend was observed annually, indicating growing research interest.
• Key research themes included "seizures," "epilepsy," "hypoxic-ischemic encephalopathy," "amplitude-integrated EEG," and "brain injury."

Conclusions:

• This bibliometric analysis provides a comprehensive overview of research trends and progress in neonatal EEG.
• The study identifies current research frontiers and critical directions for neonatal neuroscience.
• It serves as a valuable resource for researchers in the field of neonatal neuroscience.