皮质活动的明显模式与社区居住的老年人认知和运动下降有关
Eun-Seon Noh1, Jiwon Yang1, Kai Wang1
1Department of Health Sciences, The Graduate School, Dong-A University, Busan, Republic of Korea; Digital Healthcare Institute, Dong-A University, Busan, Republic of Korea.
Experimental gerontology
|December 17, 2025
概括
静止状态EEG可以区分健康人与轻度认知障碍 (MCI) 或运动认知风险综合征 (MCR) 患者. 增加的正面西塔功率和默认模式网络 (DMN) 连接是认知和运动衰退的关键指标.
科学领域:
- 神经科学是一个神经科学.
- 老年学是一门学科.
- 生物标志物发现发现
背景情况:
- 轻度认知障碍 (MCI) 和运动认知风险综合征 (MCR) 在老年人群中构成重大挑战.
- 早期发现认知和运动能力下降对于及时干预和管理至关重要.
- 静止电脑图 (EEG) 提供了一种非侵入性方法来探索大脑功能.
研究的目的:
- 调查静止状态EEG标记器在区分健康对照,MCI和MCR组的有用性.
- 为了将EEG发现与认知和运动功能的客观测量相关联.
主要方法:
- 一项涉及87名参与者的横截面研究,分为三组:健康对照,MCI和MCR.
- 使用迷你心理状态检查 (MMSE),符号数字替换测试 (SDST) 和配对关联学习 (PAL) 任务评估认知功能.
- 通过步行速度和静止状态EEG记录的运动功能,用19通道无线系统记录.
主要成果:
- 与健康对照人群相比,患有MCI和MCR的个体表现出较高的额头太功率.
- 在MCI和MCR组中,广泛的默认模式网络 (DMN) 连接性增加,在MCR组中尤其明显.
- 这些EEG变化与认知和运动衰退的程度有显著的相关性.
结论:
- 静止状态EEG标记物,特别是额头太功率和DMN连接性,显示出作为早期检测认知和运动衰退的生物标记物的潜力.
- EEG发现可以帮助区分健康衰老,MCI和MCR,有助于临床评估.
- 这些结果支持使用EEG来识别有神经退行性疾病风险的老年人.
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