主导性内在合模式的动态重构在老年人中,患有阿尔茨海默氏症风险
Themis P Exarchos1, Robert Whelan2, Ioannis Tarnanas3,4,5
1Department of Informatics, Ionian University, Corfu, Greece.
Advances in experimental medicine and biology
|July 24, 2023
概括
这项研究表明,计算机化大脑训练程序在轻度认知障碍患者中提高了大脑网络效率. 干预增强了频率合和减少皮质相互作用时间延迟,导致更好的认知功能.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 医疗干预 医疗干预
背景情况:
- 大规模的大脑网络表现出复杂的空间和时间相互作用.
- 功能性大脑网络重组有助于认知补偿.
- 轻度认知障碍 (MCI) 涉及改变的大脑网络动态.
研究的目的:
- 研究计算机干预对MCI患者大脑网络动态的影响.
- 评估功能连接,频率合和皮质相互作用时间延迟的变化.
- 为了将神经生理变化与认知改善相关联.
主要方法:
- 一项为期10周的计算机化干预,针对158名MCI患者的中间叶功能.
- 与积极对照组 (纪录片) 和被动对照组进行比较.
- 在干预前后使用静止电脑图 (EEG) 进行动态功能源连接分析.
主要成果:
- 干预组显示了频率内合比率的增加,特别是在β1频率.
- 在 δ, θ, α2 和 β1 频率的皮质相互作用中观察到更好的时间延迟.
- 干预组中注意到动态大脑网络的提高效率.
结论:
- 计算机干预可以动态重新配置MCI中的内在大脑合模式.
- 这种干预导致皮质相互作用时间和网络效率的改善.
- 这些神经生理学变化与提高认知表现有关.
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