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阿尔茨海默病与增加的网络选择性有关:来自代谢连接的证据

Sunil Kumar Khokhar¹, Manoj Kumar¹, Sandeep Kumar²

¹Department of Neuroimaging and Interventional Radiology, and National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India.

Brain connectivity

|November 6, 2023

概括

阿尔茨海默病 (AD) 患者表现出改变的大脑网络分类性,与轻度认知障碍 (MCI) 相比,显示出更常规,更不具弹性的网络. 这些网络变化与记忆缺陷相关,为AD病理生物学提供了洞察力.

科学领域:

神经科学是一个神经科学.
网络科学网络科学
医疗成像医学成像

背景情况:

像阿尔茨海默氏症 (AD) 这样的神经退行性疾病涉及复杂的网络病理生物学.
分类性,一种对代谢连接的网络测量,是理解这些疾病的新兴工具.
区分AD和轻度认知障碍 (MCI) 对于早期干预至关重要.

研究的目的:

为了研究AD和MCI患者之间的网络差异,使用分类.
通过使用阿尔茨海默病神经成像计划 (ADNI) 数据集验证发现.
为了将网络测量与认知功能相关联,特别是记忆缺陷.

主要方法:

使用PET-MRI对83名痴呆患者 (56名AD,27名MCI) 的分析.
从使用图形理论 (图形理论) 工具箱的BRain分析中应用全球和节点网络措施.
在一个单独的队列中验证,包括认知正常,MCI和AD患者从ADNI.

主要成果:

与MCI患者相比,AD患者的全球分类率显著增加.
在AD中观察到增加的模块化和减少的参与系数.
区域网络措施与阿登布鲁克的认知检查-III (ACE-III) 记忆得分相关.

结论:

在阿尔茨海默病患者中,全球分类性错误导致更常规,更不具弹性的大脑网络.
网络措施,特别是区域分类,可以作为AD病理生物学和记忆障碍的生物标志物.
这些发现凸显了网络科学在理解和诊断神经退行性疾病方面的潜力.

关键词:

阿尔茨海默氏症是阿尔茨海默氏症的疾病德国联邦财政部-PET 选择性选择性选择性代谢连接性的代谢连接性这是模块化的模块化.

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