Related Experiment Video
Updated: Jul 11, 2025

Author Spotlight: Overcoming Challenges in Drosophila Sleep Measurement Using DAM System
Published on: October 20, 2023
Bibliometric review on sleep and Alzheimer disease between 1986 and 2023
Xiaoyu Sun1, Chao He, Huiling Qu
1Department of Neurology, General Hospital of Northern Theater Command, Shenyang, China.
Objective:
Alzheimer disease (AD) is a major disease that affects the elderly worldwide. Therefore, this study aimed to examine the relationship between AD and sleep disorders, identify journal publications and collaborators, and analyze keywords and research trends using a bibliometric method.
Methods:
Data retrieval is based on the Web of Science Core Collection database. CiteSpace V.6.1.R6 was used to analyze bibliometric analysis, calculate centrality, and draw co-occurrence maps of countries/regions, institutions, authors, published journals, cited literature, keyword co-occurrence maps, cluster maps, time graphs, and emergent maps from January 1986 to April 2023.
Results:
There were 4677 publications relevant to AD and sleep disorders. From 1986 to 2023, the number of publications per year showed an increasing trend. The United States not only has the largest output of publications, the first in the centrality ranking, but also owns the 3 highest frequencies of publication institutions. The journal NEUROLOGY has the highest citation frequency, reaching 2671, with a median centrality value of 0.64. A comprehensive analysis of centrality showed that AD, circadian rhythm, dementia, Parkinson disease, sleep, and older adults are both high-frequency words and high centrality words, becoming core keywords in this field.
Conclusions:
This was the first study to provide an overview, about the current main status of development, hot spots of the study, and the future trends in sleep disorders and AD, which provides a comprehensive review of the trends and gaps in field of sleep and AD, and thus lays the groundwork for future research.
More Related Videos
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
06:23A Chronic Sleep Fragmentation Model using Vibrating Orbital Rotor to Induce Cognitive Deficit and Anxiety-Like Behavior in Young Wild-Type Mice
Published on: September 22, 2020
Related Concept Videos
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
Understanding Sleep
The circadian rhythm, a nearly 24-hour cycle, is deeply influenced by environmental light cues. Light exposure directly affects the hypothalamus, which in turn regulates...
Sleepwalking and Sleep Talking
Factors that increase the likelihood of sleepwalking include sleep deprivation and alcohol consumption. Contrary to common beliefs, it is safe...
Alzheimer's Disease: Treatment
Insufficient Sleep and Sleep Deprivation
Sleep deprivation is a more severe form of sleep loss...
Circadian Rhythms and Gene Regulation