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淀粉样蛋白阳性伴脑白质高信号患者的主要皮质-基底节和丘脑网络的结构协变变化。

Structural covariance changes in major cortico-basal ganglia and thalamic networks in amyloid-positive patients with white matter hyperintensities.

机构信息

Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.

Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea.

出版信息

Neurobiol Aging. 2022 Sep;117:117-127. doi: 10.1016/j.neurobiolaging.2022.05.010. Epub 2022 May 27.

Abstract

Synergistic effects of amyloid deposition and cerebral small vessel disease (CSVD) on the systematic disruption of large-scale brain anatomical organization are not well known. We investigated the brain structural covariance network (SCN) in 245 cognitively impaired older adults with the information of amyloid deposition and CSVD represented by white matter hyperintensities (WMH). We stratified the participants into 4 groups based on amyloid burden (A+/A -) and WMH severity (W+/W-). Using source-based morphometry analysis, we selected 13 independent components (ICs) in functional brain networks. SCNs between ICs were defined using Pearson correlations between individual weights; SCNs of the A+W+ group were compared with those of other groups using Fisher's r-to-z transformation. Our results revealed that SCN characteristics related to amyloid burden with CSVD could be represented by decreased intra- and increased cortico-subcortical inter-network connectivity in the salience (SN) and default mode networks (DMN), decreased cortico-subcortical internetwork connectivity in the central executive network (CEN), and altered internetwork connectivity among DMN-SN-CEN. Amyloid deposition and CSVD maybe associated with altered connectivity in structural networks in the brain and should be considered when assessing network disruption.

摘要

淀粉样蛋白沉积和脑小血管病(CSVD)对大脑大尺度解剖结构组织系统性破坏的协同作用尚不清楚。我们通过白质高信号(WMH)来代表淀粉样蛋白沉积和 CSVD 的信息,研究了 245 名认知障碍老年人的大脑结构协变网络(SCN)。我们根据淀粉样蛋白负荷(A+/A-)和 WMH 严重程度(W+/W-)将参与者分为 4 组。使用基于源的形态测量分析,我们在功能大脑网络中选择了 13 个独立成分(IC)。通过个体权重之间的 Pearson 相关系数定义了 IC 之间的 SCN;使用 Fisher r-to-z 变换比较 A+W+组的 SCN 与其他组的 SCN。我们的结果表明,与 CSVD 相关的淀粉样蛋白负荷的 SCN 特征可以通过以下方式来表示:在突显网络(SN)和默认模式网络(DMN)中,内网络连接减少,皮质下-皮质间网络连接增加;在中央执行网络(CEN)中皮质下-皮质间网络连接减少;DMN-SN-CEN 之间的网络连接改变。淀粉样蛋白沉积和 CSVD 可能与大脑结构网络中连接的改变有关,在评估网络破坏时应考虑这些因素。

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