Small-World Properties in Mild Cognitive Impairment and Early Alzheimer's Disease: A Cortical Thickness MRI Study.

ISRN geriatrics Pub Date : 2013-01-01 DOI:10.1155/2013/542080

Yongxia Zhou, Yvonne W Lui

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Abstract

Background: Small-world network consists of networks with local specialization and global integration. Our objective is to detect small-world properties alteration based on cortical thickness in mild cognitive impairment (MCI) including stables and converters, and early Alzheimer's disease (AD) compared to controls.

Methods: MRI scans of 13 controls, 10 MCI, and 10 with early AD were retrospectively analyzed; 11 MCI converters, 11 MCI stables, and 10 controls from the ADNI website were also included.

Results: There were significantly decreased local efficiencies in patients with MCI and AD compared to controls; and MCI patients showed increased global efficiency compared to AD and controls. The MCI converters experience the worst local efficiency during the converting period to AD; the stables, however, have highest local and global efficiency.

Conclusions: The abnormal cortical thickness-based small-world properties in MCI and AD as well as the distinct patterns between two MCI subtypes suggest that small-world network analysis has the potential to better differentiate different stages of early dementia.

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轻度认知障碍和早期阿尔茨海默病的小世界特性：皮质厚度核磁共振成像研究

背景：小世界网络由局部特化和全局整合的网络组成。我们的目的是根据皮层厚度检测轻度认知障碍（MCI）（包括稳定期和转换期）和早期阿尔茨海默病（AD）与对照组相比小世界特性的改变：回顾性分析了13名对照组患者、10名MCI患者和10名早期AD患者的核磁共振成像扫描结果；还纳入了来自ADNI网站的11名MCI转换者、11名MCI厩患者和10名对照组患者：结果：与对照组相比，MCI 和 AD 患者的局部效率明显降低；与 AD 和对照组相比，MCI 患者的整体效率有所提高。MCI转换者在向AD转换期间的局部效率最差；而厩肥患者的局部和整体效率最高：结论：MCI和AD患者基于皮层厚度的小世界特性异常以及两种MCI亚型之间的不同模式表明，小世界网络分析有可能更好地区分早期痴呆症的不同阶段。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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