大脑网络连接和痴呆风险:双向的门德尔随机化视角
Shouqiang Zhu1, Xiahao Ding1, Jinhua Bo2
1Department of Anesthesiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Medical School, Nanjing University, Nanjing, Jiangsu Province, China; Jiangsu Key Laboratory of Molecular Medicine, Nanjing University, Nanjing, Jiangsu Province, China.
NeuroImage. Clinical
|November 26, 2025
概括
休息状态功能性MRI (rs-fMRI) 连接模式与痴呆风险有关. 特定的网络变化可以预测阿尔茨海默氏症和血管痴呆症,为未来的研究提供了洞察力.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 是一个遗传学.
- 医疗成像医学成像
背景情况:
- 痴呆症与静止状态的功能性脑网络中断有关.
- 这些网络中断和痴呆症亚型之间的确切关系尚未完全理解.
研究的目的:
- 研究休息状态功能性MRI (rs-fMRI) 现型与各种痴呆症亚型之间的关联.
- 使用孟德尔随机化探索双向关系.
主要方法:
- 进行了双向的双样本孟德尔随机化 (MR) 分析.
- 利用了191个rs-fMRI表型和五种痴呆类型的总结统计数据.
- 前向MR评估了rs-fMRI对痴呆风险的影响;反向MR评估了痴呆对rs-fMRI的影响.
主要成果:
- 前向MRI确定了七种与痴呆风险相关的rs-fMRI表型.
- 增强的默认模式网络连接与降低阿尔茨海默病风险相关.
- 增加默认模式和中央执行网络连接,与较低的血管痴呆风险相关.
- 反向MR显示痴呆症亚型影响rs-fMRI表型,包括边缘和默认模式网络变化.
结论:
- 功能网络连接模式与痴呆风险有关.
- 这些发现可能有助于发现生物标志物和预防痴呆症的预防策略.
- 需要在纵向和实验研究中进一步验证以确认临床相关性.
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