多层大脑网络的日间动态预测了衰老中的认知轨迹
Kenza Bennis1, Anna Canal-Garcia2, Joana B Pereira2
1Inserm, U1077, EPHE, UNICAEN, Normandie Université, PSL Université Paris, CHU de Caen, GIP Cyceron, Neuropsychologie Et Imagerie de La Mémoire Humaine (NIMH), Caen, 14000, France.
GeroScience
|December 4, 2025
概括
白天大脑网络动态影响认知衰老. 稳定的连接支持记忆,而过度的连接可能会损害执行功能,并表明早期阿尔茨海默病的标志物.
科学领域:
- 神经科学是一个神经科学.
- 认知老龄化 认知老龄化
- 大脑网络动力学
背景情况:
- 休息状态功能连接 (rsFC) 在一天中是动态的,可能有助于环境适应.
- 对rsFC的昼夜影响及其认知关联仍然不清楚.
研究的目的:
- 为了研究大脑网络招募和整合的日间变化.
- 探索这些动态,认知和阿尔茨海默病生物标志物之间的关联.
主要方法:
- 分析了90名老年人20小时以上的脑电图数据.
- 在DMN,CEN和SN中应用时间多层网络方法对和马波段.
- 与认知表现和PET检测的粉样蛋白/蛋白标记物相关联的网络动态.
主要成果:
- 甲基集成/招募与更好的基线和纵向记忆有关.
- 玛集成与较差的执行/注意力表现和较高的粉样蛋白负担相关.
- 和马波段中明显的日间模式与特定的认知功能有关.
结论:
- 在一天中平衡网络的灵活性和稳定性是认知衰老的关键.
- 泰达频段稳定性支持记忆,而过度的玛稳定性可能预测认知衰退和神经病理学.
- 对rsFC的日间时间影响需要时间多层分析来准确表征.
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