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Functional Evolving Patterns of Cortical Networks in Progression of Alzheimer's Disease: A Graph-Based Resting-State fMRI Study.
Neural Plasticity ( IF 3.0 ) Pub Date : 2020-06-29 , DOI: 10.1155/2020/7839536
Wei Li 1, 2 , Wen Wen 1, 2 , Xi Chen 1, 2 , BingJie Ni 1, 2 , Xuefeng Lin 1, 2 , Wenliang Fan 3, 4 , The Alzheimer's Disease Neuroimaging Initiative 5
Affiliation  

AD is a common chronic progressive neurodegenerative disorder. However, the understanding of the dynamic longitudinal change of the brain in the progression of AD is still rough and sometimes conflicting. This paper analyzed the brain networks of healthy people and patients at different stages (EMCI, LMCI, and AD). The results showed that in global network properties, most differences only existed between healthy people and patients, and few were discovered between patients at different stages. However, nearly all subnetwork properties showed significant differences between patients at different stages. Moreover, the most interesting result was that we found two different functional evolving patterns of cortical networks in progression of AD, named ‘temperature inversion’ and “monotonous decline,” but not the same monotonous decline trend as the external functional assessment observed in the course of disease progression. We suppose that those subnetworks, showing the same functional evolving pattern in AD progression, may have something the same in work mechanism in nature. And the subnetworks with ‘temperature inversion’ evolving pattern may play a special role in the development of AD.

中文翻译:


阿尔茨海默病进展中皮质网络的功能进化模式:基于图的静息态功能磁共振成像研究。



AD 是一种常见的慢性进行性神经退行性疾病。然而,对于 AD 进展过程中大脑动态纵向变化的认识仍然很粗略,有时甚至是相互矛盾的。本文分析了健康人和不同阶段(EMCI、LMCI 和 AD)患者的大脑网络。结果表明,在全局网络特性中,大多数差异只存在于健康人和患者之间,不同阶段的患者之间几乎没有发现差异。然而,几乎所有子网络属性在不同阶段的患者之间都表现出显着差异。此外,最有趣的结果是,我们发现AD进展过程中皮质网络的两种不同的功能演化模式,分别称为“温度反转”和“单调下降”,但与课程中观察到的外部功能评估的单调下降趋势不同疾病进展。我们假设这些在 AD 进展中表现出相同功能进化模式的子网络,在本质上可能具有相同的工作机制。而具有“逆温”演化模式的子网络可能在AD的发展中发挥着特殊的作用。
更新日期:2020-06-29
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