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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 3.1 ) 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:

阿尔茨海默氏病进展中的皮质网络的功能进化模式:基于图的静止状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AD进展中大脑动态纵向变化的理解仍然很粗糙,有时会发生冲突。本文分析了健康人和处于不同阶段(EMCI,LMCI和AD)的患者的大脑网络。结果表明,在全球网络属性中,大多数差异仅存在于健康人和患者之间,而在不同阶段的患者之间几乎没有发现。但是,几乎所有子网属性在不同阶段的患者之间都显示出显着差异。此外,最有趣的结果是,我们发现了AD进程中皮质网络的两种不同的功能演化模式,称为“温度倒置”和“单调下降,”,但与疾病进展过程中观察到的外部功能评估没有相同的单调下降趋势。我们假定那些在AD进程中显示相同功能演变模式的子网在本质上可能具有相同的工作机制。具有“温度反转”演化模式的子网可能在AD的发展中起特殊作用。
更新日期:2020-06-29
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