Li Xiaoling, Wang Feng, Liu Xiaohui, Cao Danna, Cai Lina, Jiang Xiaoxu, Yang Xu, Yang Tiansong, Asakawa Tetsuya
First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
Division of CT and MRI, Heilongjiang University of Chinese Medicine, Harbin, China.
Front Neurol. 2020 Sep 30;11:554032. doi: 10.3389/fneur.2020.554032. eCollection 2020.
Patients with amnestic mild cognitive impairment (aMCI) are at high risk of developing dementia. This study used resting-state functional magnetic resonance imaging (rs-fMRI) and an independent component analysis (ICA) approach to explore changes in functional connectivity (FC) in the default mode network (DMN), executive control network (ECN), and salience network (SN). Thirty patients with aMCI and 30 healthy controls (HCs) were enrolled. All the participants underwent an rs-fMRI scan. The brain FC in DMN, ECN, and SN was calculated using the ICA approach. We found that the FC of brain regions in DMN decreased significantly and that of brain regions in ECN increased, which was in accordance with the findings of previous studies on Alzheimer's disease (AD) and aMCI. We also found that the FC of brain regions in SN increased, which was different from the findings of previous studies on AD. The increase in FC in brain regions in SN might result from different pathophysiological states in AD and aMCI, indicating that a decrease in FC in SN does not occur in a person with aMCI. These results are consistent with those of previous studies using the voxel-mirrored homotopic connectivity approach and seed-based correlation analysis. We therefore considered that the decrease in FC in DMN and the increase in FC in ECN and SN might be peculiar patterns observed on the rs-fMRI of a person with aMCI. These findings may contribute to the development of imaging biomarkers for the diagnosis of aMCI.
遗忘型轻度认知障碍（aMCI）患者患痴呆症的风险很高。本研究采用静息态功能磁共振成像（rs-fMRI）和独立成分分析（ICA）方法，探讨默认模式网络（DMN）、执行控制网络（ECN）和突显网络（SN）中功能连接（FC）的变化。招募了30例aMCI患者和30名健康对照者（HCs）。所有参与者均接受了rs-fMRI扫描。使用ICA方法计算DMN、ECN和SN中的脑FC。我们发现，DMN中脑区的FC显著降低，而ECN中脑区的FC增加，这与先前关于阿尔茨海默病（AD）和aMCI的研究结果一致。我们还发现，SN中脑区的FC增加，这与先前关于AD的研究结果不同。SN中脑区FC的增加可能是由于AD和aMCI中不同的病理生理状态所致，表明aMCI患者的SN中不存在FC降低的情况。这些结果与先前使用体素镜像同伦连接方法和基于种子的相关分析的研究结果一致。因此，我们认为DMN中FC的降低以及ECN和SN中FC的增加可能是aMCI患者rs-fMRI上观察到的特殊模式。这些发现可能有助于开发用于诊断aMCI的成像生物标志物。
