首页> 美国卫生研究院文献>Frontiers in Neural Circuits >Abnormal Interactions of the Salience Network Central Executive Network and Default-Mode Network in Patients With Different Cognitive Impairment Loads Caused by Leukoaraiosis
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Abnormal Interactions of the Salience Network Central Executive Network and Default-Mode Network in Patients With Different Cognitive Impairment Loads Caused by Leukoaraiosis

机译:具有不同认知功能负荷的白细胞疏松症患者的显着网络中央执行网络和默认模式网络的异常相互作用

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摘要

Leukoaraiosis (LA) is associated with cognitive impairment in the older people which can be demonstrated in functional connectivity (FC) based on resting-state functional magnetic resonance imaging (rs-fMRI). This study is to explore the FC changes in LA patients with different cognitive status by three network models. Fifty-three patients with LA were divided into three groups: the normal cognition (LA-NC; n = 14, six males), mild cognitive impairment (LA-MCI; n = 27, 13 males), and vascular dementia (LA-VD; n = 12, six males), according to the Mini Mental State Exam (MMSE) and Clinical Dementia Rating (CDR). The three groups and 30 matched healthy controls (HCs; 11 males) underwent rs-fMRI. The data of rs-fMRI were analyzed by independent components analysis (ICA) and region of interest (ROI) analysis by the REST toolbox. Then the FC was respectively analyzed by the default-mode network (DMN), salience networks (SNs) and the central executive network (CEN) with their results compared among the different groups. For inter-brain network analysis, there were negative FC between the SN and DMN in LA groups, and the FC decreased when compared with HC group. While there were enhanced inter-brain network FC between the SN and CEN as well as within the SN. The FC in patients with LA can be detected by different network models of rs-fMRI. The multi-model analysis is helpful for the further understanding of the cognitive changes in those patients.
机译:脑白质疏松症(LA)与老年人的认知功能障碍相关,这可以在基于静息状态功能磁共振成像(rs-fMRI)的功能连接性(FC)中得到证明。本研究旨在通过三种网络模型探讨具有不同认知状态的LA患者的FC变化。 53例LA患者分为三组:正常认知(LA-NC; n = 14,男性六名),轻度认知障碍(LA-MCI; n = 27,男性13)和血管性痴呆(LA- VD; n = 12,六名男性),根据迷你精神状态检查(MMSE)和临床痴呆评分(CDR)。这三组和30名匹配的健康对照(HCs; 11名男性)接受了rs-fMRI。通过REST工具箱通过独立成分分析(ICA)和关注区域(ROI)分析来分析rs-fMRI的数据。然后分别通过默认模式网络(DMN),显着网络(SN)和中央执行网络(CEN)对FC进行分析,并对不同组之间的结果进行比较。对于脑间网络分析,LA组的SN和DMN之间存在负FC,与HC组相比,FC降低。虽然在SN和CEN之间以及在SN内部增强了脑间网络FC。可以通过不同的rs-fMRI网络模型来检测LA患者的FC。多模型分析有助于进一步了解这些患者的认知变化。

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