Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 29, 16 January 2024
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The potential and prospects of sleep biomarkers in early Alzheimer's disease diagnosis
* Author to whom correspondence should be addressed.
Abstract
Alzheimer’s disease (AD), often accompanied by sleep disturbances, is a neurodegenerative disease. Sleep disruptions have the potential to serve as biomarkers for early diagnosis because they can be observed in the initial stages of disease progression in the sleep-wake cycle. This paper summarizes the latest findings on AD manifestations during non-rapid eye movement (NREM) sleep, rapid eye movement (REM) sleep, sleep oscillations, and cognitive impairment. It provides a detailed overview of diagnostic bioindicators for primary Alzheimer’s disease, including invasive cerebrospinal fluid (CSF) markers, non-invasive electroencephalography (EEG), and plasma biomarkers, and compares their advantages and limitations in diagnosing early AD. The accuracy and reliability of sleep biomarkers in early diagnosis are evaluated, along with their clinical application prospects. The paper also proposes improvements in the use of sleep clinical markers for early Alzheimer’s disease diagnosis, aiming for greater breakthroughs in this field. The significance of this review lies in its in-depth exploration of the association between sleep disturbances and the early period of the disease, along with the introduction of potential biomarkers that can serve as tools for early determining and monitoring of this neurodegenerative health issue.
Keywords
Alzheimer’s disease (AD), non-rapid eye movement (NREM), rapid eye movement (REM), electroencephalography (EEG).
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Modern Medicine and Global Health
- ISBN (Print)
- 978-1-83558-279-4
- ISBN (Online)
- 978-1-83558-280-0
- Published Date
- 16 January 2024
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/29/20240730
- Copyright
- 16 January 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited