Bibliometric Analysis of Brain Stimulation Technologies in Sleep Disorders

BACKGROUND Sleep disorders are a common disease faced by people today and can lead to fatigue, lack of concentration, impaired memory, and even death. In recent years, the development of brain stimulation techniques has provided a new perspective for the treatment of sleep disorders. However, there is a lack of bibliometric analyses related to sleep disorders and brain stimulation techniques. Therefore, this study analyzed the application status and trend of brain stimulation technology in sleep disorder research. MATERIAL AND METHODS Articles and reviews published between 1999 and 2023 were retrieved from the Web of Science. CiteSpace was used to visually analyze the publications, countries, institutions, journals, authors, references, and keywords. RESULTS A total of 459 publications were obtained. The number of studies was shown to be on a general upward trend. The country with the largest number of publications was the United States; UDICE-French Research Universities had the highest number of publications; Neurology had the highest citation frequency; 90% of the top 10 references cited were from Journal Citation Reports Q1; Brigo was the author with the highest number of publications; and the most frequent keywords were "transcranial magnetic stimulation", "deep brain stimulation", and "Parkinson disease". CONCLUSIONS Our study used CiteSpace software to analyze 459 studies published since 1999 on brain stimulation techniques for the treatment of sleep disorders, revealing research trends and the current state of the field. Our results will help researchers to understand the existing research quickly and provide direction for future research.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:30

Enthalten in:

Medical science monitor : international medical journal of experimental and clinical research - 30(2024) vom: 05. März, Seite e942687

Sprache:

Englisch

Beteiligte Personen:

Shen, Chao [VerfasserIn]
Wang, Zhao-Di [VerfasserIn]
Qian, Wen-Jun [VerfasserIn]
Wu, Cheng-Fan [VerfasserIn]
Qian, Su-Rong [VerfasserIn]
Tang, Tong [VerfasserIn]

Links:

Volltext

Themen:

Journal Article

Anmerkungen:

Date Completed 06.03.2024

Date Revised 12.03.2024

published: Electronic

Citation Status MEDLINE

doi:

10.12659/MSM.942687

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369293843