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主观认知衰退、遗忘型轻度认知障碍和阿尔茨海默病患者灰质结构协方差网络中的不同连接变化

Divergent Connectivity Changes in Gray Matter Structural Covariance Networks in Subjective Cognitive Decline, Amnestic Mild Cognitive Impairment, and Alzheimer's Disease.

作者信息

Fu Zhenrong, Zhao Mingyan, He Yirong, Wang Xuetong, Lu Jiadong, Li Shaoxian, Li Xin, Kang Guixia, Han Ying, Li Shuyu

机构信息

School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China.

Department of Neurology, Tangshan Gongren Hospital, Tangshan, China.

出版信息

Front Aging Neurosci. 2021 Aug 16;13:686598. doi: 10.3389/fnagi.2021.686598. eCollection 2021.

Abstract

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.

摘要

阿尔茨海默病(AD)有一个漫长的临床前期阶段,在发展为遗忘型轻度认知障碍(aMCI)和/或痴呆之前可持续数十年。主观认知下降(SCD)的特征是自我感知的记忆下降,但没有任何客观认知下降的证据,被视为临床前期AD的后期阶段。据报道,在特定的大规模脑网络中,AD和aMCI患者的结构协方差模式变化受AD病理影响。然而,包括正常对照(NC)、SCD、aMCI和AD在内的结构协方差模式变化仍知之甚少。在本研究中,我们招募了42名NC、35名SCD个体、43名aMCI患者和41名AD患者。从涉及高阶认知功能和AD相关功能失调结构的10个易于识别的感兴趣区域提取灰质(GM)体积。通过基于体素的统计和多元线性回归模型,使用体积值预测全脑的区域密度。与NC相比,SCD个体的结构协方差降低,连接强度减弱。从默认模式网络(DMN)、突显网络、海马亚区和胆碱能基底前脑植入的结构协方差网络(SCN)在AD早期阶段(指aMCI)结构协方差增加,在痴呆阶段(指AD)结构协方差降低。此外,从执行控制网络(ECN)植入的SCN在早期和痴呆阶段结构协方差程度呈线性增加。结果表明,NC-SCD-aMCI-AD顺序的结构协方差模式变化是发散和动态的,并支持SCD个体的结构断开假说。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58bf/8415752/da39e41dc9f3/fnagi-13-686598-g001.jpg

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