Research on Magnetic Stimulation Intervention Technology for Alzheimer’s Disease Guided by Heart Rate Variability
10.16476/j.pibb.2024.0465
- VernacularTitle:基于心率变异性引导的阿尔茨海默病磁刺激干预技术研究
- Author:
Shu-Ting CHEN
1
;
Du-Yan GENG
2
;
Chun-Meng FAN
3
;
Wei-Ran ZHENG
4
;
Gui-Zhi XU
2
Author Information
1. School of Life Science and Health Engineering, Hebei University of Technology, Tianjin 300072, China
2. State Key Laboratory of Intelligent Power Distribution Equipment and System, Hebei University of Technology, Tianjin 300130, China
3. School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China
4. School of Electrical Engineering, Hebei University of Technology, Tianjin 300072, China
- Publication Type:Journal Article
- Keywords:
Alzheimer’s disease;
heart rate variability;
magnetic stimulation;
behavioral experiments;
EEG
- From:
Progress in Biochemistry and Biophysics
2025;52(5):1264-1278
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveNon-invasive magnetic stimulation technology has been widely used in the treatment of Alzheimer’s disease (AD), but there is a lack of convenient and timely methods for evaluating and providing feedback on the effectiveness of the stimulation, which can be used to guide the adjustment of the stimulation protocol. This study aims to explore the possibility of heart rate variability (HRV) in diagnosing AD and guiding AD magnetic stimulation intervention techniques. MethodsIn this study, we used a 40 Hz, 10 mT pulsed magnetic field to expose AD mouse models to whole-body exposure for 18 d, and detected the behavioral and electroencephalographic signals before and after exposure, as well as the instant electrocardiographic signals after exposure every day. ResultsUsing one-way ANOVA and Pearson correlation coefficient analysis, we found that some HRV indicators could identify AD mouse models as accurately as behavioral and electroencephalogram(EEG) changes (P<0.05) and significantly distinguish the severity of the disease (P<0.05), including rMSSD, pNN6, LF/HF, SD1/SD2, and entropy arrangement. These HRV indicators showed good correlation and statistical significance with behavioral and EEG changes (r>0.3, P<0.05); HRV indicators were significantly modulated by the magnetic field exposure before and after the exposure, both of which were observed in the continuous changes of electrocardiogram (ECG) (P<0.05), and the trend of the stimulation effect was more accurately observed in the continuous changes of ECG. ConclusionHRV can accurately reflect the pathophysiological changes and disease degree, quickly evaluate the effect of magnetic stimulation, and has the potential to guide the pattern of magnetic exposure, providing a new idea for the study of personalized electromagnetic neuroregulation technology for brain diseases.
