Influence of cerebrovascular disease on brain networks in prodromal and clinical Alzheimer's disease.
Influence of cerebrovascular disease on brain networks in prodromal and clinical Alzheimer's disease.
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DOI：
10.1093/brain/awx224
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发表时间：
2017-11-01
期刊：
影响因子：
--
通讯作者：
Zhou J
中科院分区：
文献类型：
--
作者：
Chong JSX;Liu S;Loke YM;Hilal S;Ikram MK;Xu X;Tan BY;Venketasubramanian N;Chen CL;Zhou J
关于阿尔茨海默病和脑血管疾病在网络退化方面的相互作用，人们知之甚少。Chong等人。在阿尔茨海默病合并脑血管疾病和不合并脑血管疾病的患者中，显示出不同的功能和结构网络变化，这表明两组患者可能有不同的潜在病理。网络敏感的神经成像方法已被用于表征阿尔茨海默病及其前驱症状的大规模脑网络变性。然而，很少有研究调查阿尔茨海默病和脑血管疾病对脑网络退化的联合影响。我们的研究试图检验235名有脑血管疾病和无脑血管疾病的先兆和临床阿尔茨海默病患者的内在功能连通性和结构协方差网络的变化。我们特别关注了两个高阶认知网络--默认模式网络和执行控制网络。我们发现有脑血管疾病的阿尔茨海默病患者和没有脑血管疾病的阿尔茨海默病患者的功能连接性和结构协方差模式不同。无脑血管疾病的阿尔茨海默病患者，但不患有脑血管疾病的阿尔茨海默病患者，后半部默认模式网络功能连接性降低。相比之下，虽然两组患者的顶叶执行控制网络功能连接性都有所降低，但只有患有脑血管疾病的阿尔茨海默病患者的额叶执行控制网络连接性增加。重要的是，这些独特的执行控制网络变化在有和没有脑血管疾病的先兆阿尔茨海默病患者中得到了概括。在患有和不患有脑血管疾病的阿尔茨海默病患者中，默认模式网络功能连通性z分数越高，海马体体积越大，而执行控制网络功能连通性z分数越高，脑白质变化越大。与对照组相比，只有无脑血管疾病的阿尔茨海默病患者的默认模式网络结构协方差增加，而只有有脑血管疾病的阿尔茨海默病患者的执行控制网络结构协方差增加。我们的发现证实了阿尔茨海默病合并脑血管疾病和不合并脑血管疾病患者神经网络结构和功能的不同变化，提示有脑血管疾病的阿尔茨海默病患者的潜在病理可能不同于没有脑血管疾病的患者，反映了更严重的脑血管疾病和不太严重的阿尔茨海默病网络变性表型的组合。
Little is known about the interaction between Alzheimer’s disease and cerebrovascular disease with respect to network degeneration. Chong et al. demonstrate differential functional and structural network changes in patients with Alzheimer’s disease with and without cerebrovascular disease, suggesting that the two groups may have different underlying pathologies. Network-sensitive neuroimaging methods have been used to characterize large-scale brain network degeneration in Alzheimer’s disease and its prodrome. However, few studies have investigated the combined effect of Alzheimer’s disease and cerebrovascular disease on brain network degeneration. Our study sought to examine the intrinsic functional connectivity and structural covariance network changes in 235 prodromal and clinical Alzheimer’s disease patients with and without cerebrovascular disease. We focused particularly on two higher-order cognitive networks—the default mode network and the executive control network. We found divergent functional connectivity and structural covariance patterns in Alzheimer’s disease patients with and without cerebrovascular disease. Alzheimer’s disease patients without cerebrovascular disease, but not Alzheimer’s disease patients with cerebrovascular disease, showed reductions in posterior default mode network functional connectivity. By comparison, while both groups exhibited parietal reductions in executive control network functional connectivity, only Alzheimer’s disease patients with cerebrovascular disease showed increases in frontal executive control network connectivity. Importantly, these distinct executive control network changes were recapitulated in prodromal Alzheimer’s disease patients with and without cerebrovascular disease. Across Alzheimer’s disease patients with and without cerebrovascular disease, higher default mode network functional connectivity z-scores correlated with greater hippocampal volumes while higher executive control network functional connectivity z-scores correlated with greater white matter changes. In parallel, only Alzheimer’s disease patients without cerebrovascular disease showed increased default mode network structural covariance, while only Alzheimer’s disease patients with cerebrovascular disease showed increased executive control network structural covariance compared to controls. Our findings demonstrate the differential neural network structural and functional changes in Alzheimer’s disease with and without cerebrovascular disease, suggesting that the underlying pathology of Alzheimer’s disease patients with cerebrovascular disease might differ from those without cerebrovascular disease and reflect a combination of more severe cerebrovascular disease and less severe Alzheimer’s disease network degeneration phenotype.
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影响因子：
6.3
作者：
Kalheim, Lisa F.;Bjornerud, Atle;Selnes, Per
通讯作者：
Selnes, Per
DOI：
10.1523/jneurosci.3554-12.2013
发表时间：
2013-02-13
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Alexander-Bloch A;Raznahan A;Bullmore E;Giedd J
通讯作者：
Giedd J
影响因子：
34.7
作者：
Alexander-Bloch, Aaron;Giedd, Jay N.;Bullmore, Edward T.
通讯作者：
Bullmore, Edward T.
影响因子：
12.7
作者：
Iadecola C
通讯作者：
Iadecola C
DOI：
10.1073/pnas.0308627101
发表时间：
2004-03-30
影响因子：
11.1
作者：
Greicius, MD;Srivastava, G;Menon, V
通讯作者：
Menon, V