Modular reorganization of brain resting state networks and its independent validation in Alzheimer's disease patients.

Modular reorganization of brain resting state networks and its independent validation in Alzheimer's disease patients.
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DOI:
10.3389/fnhum.2013.00456
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发表时间:
2013
影响因子:
2.9
通讯作者:
Li SJ
Li SJ
中科院分区:
医学3区
文献类型:
--
作者:
Chen G;Zhang HY;Xie C;Chen G;Zhang ZJ;Teng GJ;Li SJ

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先前的研究表明,阿尔茨海默病(AD)中发生的结构和功能连接中断。然而,目前尚不清楚这些干扰如何改变大脑网络重组。利用图论的模块化分析方法,利用静息状态功能连接MRI (R-fMRI)方法获得的数据集,研究并比较了AD组和认知正常对照组(CN)的脑组织结构模式。我们的主要发现是,CN组中最大的同伦模块(定义为岛岛模块)被分解为AD组中的片段。具体而言,我们发现AD组脑岛模块的8对双侧区域(额下回眼部、三角区、脑岛、壳核、苍白球、颞横回、颞上回、颞上极)失去了对称的功能连接特性,相应的灰质浓度(GMC)显著降低。我们进一步量化了脑岛模块的功能连通性变化(指数A)和结构变化(GMC指数),以证明它们作为AD生物标志物的巨大潜力。我们用另外6个独立数据集(6组271名受试者)进一步验证了这些结果。我们的研究结果显示了特定的潜在结构和功能重组从年轻人到老年人,并为患病受试者。此外,建议将结构GMC分析与脑岛模块的功能模块分析相结合,在单受试者水平上开发新的生物标志物。
Previous studies have demonstrated disruption in structural and functional connectivity occurring in the Alzheimer's Disease (AD). However, it is not known how these disruptions alter brain network reorganization. With the modular analysis method of graph theory, and datasets acquired by the resting-state functional connectivity MRI (R-fMRI) method, we investigated and compared the brain organization patterns between the AD group and the cognitively normal control (CN) group. Our main finding is that the largest homotopic module (defined as the insula module) in the CN group was broken down to the pieces in the AD group. Specifically, it was discovered that the eight pairs of the bilateral regions (the opercular part of inferior frontal gyrus, area triangularis, insula, putamen, globus pallidus, transverse temporal gyri, superior temporal gyrus, and superior temporal pole) of the insula module had lost symmetric functional connection properties, and the corresponding gray matter concentration (GMC) was significant lower in AD group. We further quantified the functional connectivity changes with an index (index A) and structural changes with the GMC index in the insula module to demonstrate their great potential as AD biomarkers. We further validated these results with six additional independent datasets (271 subjects in six groups). Our results demonstrated specific underlying structural and functional reorganization from young to old, and for diseased subjects. Further, it is suggested that by combining the structural GMC analysis and functional modular analysis in the insula module, a new biomarker can be developed at the single-subject level.
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