Divergent Connectivity Changes in Gray Matter Structural Covariance Networks in Subjective Cognitive Decline, Amnestic Mild Cognitive Impairment, and Alzheimer's Disease.
Divergent Connectivity Changes in Gray Matter Structural Covariance Networks in Subjective Cognitive Decline, Amnestic Mild Cognitive Impairment, and Alzheimer's Disease.
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主观认知下降、遗忘性轻度认知障碍和阿尔茨海默病中灰质结构协方差网络的发散连接变化。
DOI：
10.3389/fnagi.2021.686598
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发表时间：
2021
影响因子：
4.8
通讯作者：
Li S
中科院分区：
文献类型：
--
作者：
Fu Z;Zhao M;He Y;Wang X;Lu J;Li S;Li X;Kang G;Han Y;Li S
阿尔茨海默病（AD）具有长的临床前阶段，其在进展为遗忘型轻度认知障碍（aMCI）和/或痴呆之前可持续数十年。主观认知功能减退（SCD）是指在没有任何客观认知功能减退证据的情况下，自我经历的记忆功能减退，被认为是临床前AD的晚期。已有研究表明，在特定的大规模脑网络中，AD和aMCI患者的结构协方差模式的变化受到AD病理学的影响。然而，包括正常对照（NC），SCD，aMCI和AD的结构协方差模式的变化仍然知之甚少。在这项研究中，我们招募了42名NC，35名SCD患者，43名aMCI患者和41名AD患者。灰质（GM）体积提取10个容易识别的领域的利益涉及高阶认知功能和AD相关的功能失调的结构。采用基于体素的统计学和多元线性回归模型，利用体积值预测全脑的区域密度。与NC相比，SCD患者的结构协方差降低，连接强度减弱。从默认模式网络（DMN），显着性网络，海马和胆碱能基底前脑的子字段播种的结构协方差网络（SCN）显示在AD早期（指aMCI）的结构协方差增加，在痴呆阶段（指AD）的结构协方差减少。此外，SCN播种从执行控制网络（ECN）显示出线性增加的程度的结构协方差在早期和痴呆阶段。结果表明，结构协方差模式的变化为NC-SCD-aMCI-AD的顺序是不同的和动态的，并支持结构断开假说与SCD的个人。
Alzheimer’s disease (AD) has a long preclinical stage that can last for decades prior to progressing toward amnestic mild cognitive impairment (aMCI) and/or dementia. Subjective cognitive decline (SCD) is characterized by self-experienced memory decline without any evidence of objective cognitive decline and is regarded as the later stage of preclinical AD. It has been reported that the changes in structural covariance patterns are affected by AD pathology in the patients with AD and aMCI within the specific large-scale brain networks. However, the changes in structural covariance patterns including normal control (NC), SCD, aMCI, and AD are still poorly understood. In this study, we recruited 42 NCs, 35 individuals with SCD, 43 patients with aMCI, and 41 patients with AD. Gray matter (GM) volumes were extracted from 10 readily identifiable regions of interest involved in high-order cognitive function and AD-related dysfunctional structures. The volume values were used to predict the regional densities in the whole brain by using voxel-based statistical and multiple linear regression models. Decreased structural covariance and weakened connectivity strength were observed in individuals with SCD compared with NCs. Structural covariance networks (SCNs) seeding from the default mode network (DMN), salience network, subfields of the hippocampus, and cholinergic basal forebrain showed increased structural covariance at the early stage of AD (referring to aMCI) and decreased structural covariance at the dementia stage (referring to AD). Moreover, the SCN seeding from the executive control network (ECN) showed a linearly increased extent of the structural covariance during the early and dementia stages. The results suggest that changes in structural covariance patterns as the order of NC-SCD-aMCI-AD are divergent and dynamic, and support the structural disconnection hypothesis in individuals with SCD.
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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：
ARENDT, T;TAUBERT, G;ARENDT, A
通讯作者：
ARENDT, A
影响因子：
5.7
作者：
Evans, Alan C.
通讯作者：
Evans, Alan C.
主观认知衰退、遗忘性轻度认知障碍和阿尔茨海默病中皮质下结构的神经解剖学不对称性改变。
影响因子：
4
作者：
Fu, Zhenrong;Zhao, Mingyan;Li, Shuyu
通讯作者：
Li, Shuyu
影响因子：
5.7
作者：
Fischl, Bruce
通讯作者：
Fischl, Bruce