首页> 外文期刊>Frontiers in Aging Neuroscience >Group-Level Progressive Alterations in Brain Connectivity Patterns Revealed by Diffusion-Tensor Brain Networks across Severity Stages in Alzheimer’s Disease
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Group-Level Progressive Alterations in Brain Connectivity Patterns Revealed by Diffusion-Tensor Brain Networks across Severity Stages in Alzheimer’s Disease

机译:阿尔茨海默病严重程度各阶段的弥散张量脑网络揭示了大脑连通性模式的组水平渐进性改变

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Alzheimer’s disease (AD) is a chronically progressive neurodegenerative disease highly correlated to aging. Whether AD originates by targeting a localized brain area and propagates to the rest of the brain across disease-severity progression is a question with an unknown answer. Here, we aim to provide an answer to this question at the group-level by looking at differences in diffusion-tensor brain networks. In particular, making use of data from Alzheimer’s Disease Neuroimaging Initiative (ADNI), four different groups were defined (all of them matched by age, sex and education level): G_(1)( N _(1)= 36, healthy control subjects, Control), G_(2)( N _(2)= 36, early mild cognitive impairment, EMCI), G_(3)( N _(3)= 36, late mild cognitive impairment, LMCI) and G_(4)( N _(4)= 36, AD). Diffusion-tensor brain networks were compared across three disease stages: stage I (Control vs. EMCI), stage II (Control vs. LMCI) and stage III (Control vs. AD). The group comparison was performed using the multivariate distance matrix regression analysis, a technique that was born in genomics and was recently proposed to handle brain functional networks, but here applied to diffusion-tensor data. The results were threefold: First, no significant differences were found in stage I. Second, significant differences were found in stage II in the connectivity pattern of a subnetwork strongly associated to memory function (including part of the hippocampus, amygdala, entorhinal cortex, fusiform gyrus, inferior and middle temporal gyrus, parahippocampal gyrus and temporal pole). Third, a widespread disconnection across the entire AD brain was found in stage III, affecting more strongly the same memory subnetwork appearing in stage II, plus the other new subnetworks, including the default mode network, medial visual network, frontoparietal regions and striatum. Our results are consistent with a scenario where progressive alterations of connectivity arise as the disease severity increases and provide the brain areas possibly involved in such a degenerative process. Further studies applying the same strategy to longitudinal data are needed to fully confirm this scenario.
机译:阿尔茨海默氏病(AD)是一种与衰老高度相关的慢性进行性神经退行性疾病。 AD是否通过靶向局部大脑区域而起源并在疾病严重程度进展中传播到大脑的其余部分,是一个未知答案的问题。在这里,我们旨在通过研究扩散张量脑网络的差异,在小组级别为这个问题提供答案。特别地,利用来自阿尔茨海默氏病神经影像学倡议(ADNI)的数据,定义了四个不同的组(它们均按年龄,性别和教育水平进行匹配):G_(1)(N _(1)= 36,健康对照受试者,对照组),G_(2)(N _(2)= 36,早期轻度认知障碍,EMCI),G_(3)(N _(3)= 36,晚期轻度认知障碍,LMCI)和G_(4 )(N _(4)= 36,AD)。比较了三个疾病阶段的扩散张量脑网络:第一阶段(对照vs. EMCI),第二阶段(对照vs. LMCI)和第三阶段(对照vs. AD)。使用多元距离矩阵回归分析进行组比较,该技术起源于基因组学,最近被提出用于处理脑功能网络,但此处应用于扩散张量数据。结果是三方面的:第一,在第一阶段没有发现显着差异。第二,在第二阶段在与记忆功能(包括海马,杏仁核,内嗅皮层,梭状体)紧密相关的子网连接模式中发现了显着差异。陀螺,下颞中回,海马旁回和颞极)。第三,在第三阶段发现了整个AD大脑的广泛断开,这更严重地影响了第二阶段出现的相同记忆子网络,以及其他新的子网络,包括默认模式网络,内侧视觉网络,额顶区和纹状体。我们的结果与以下假设一致:随着疾病严重程度的增加,连通性逐渐发生变化,并提供了可能参与这种退化过程的大脑区域。需要进一步研究对纵向数据使用相同策略,以完全确认这种情况。

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