基于静息态功能成像的遗忘型轻度认知障碍患者核心脑网络变化研究

Research on changes in three core networks for amnestic mild cognitive impairment based on resting-state fMRI

目的探索遗忘型轻度认知障碍(amnestic mild cognitive impairment,a MCI)患者的神经影像学指标。材料与方法采用镜像同伦功能连接(voxelmirrored homotopic connectivity,VMHC)和格兰杰因果分析(Granger causality analysis,GCA)技术对30例阿尔茨海默病(Alzheimer's disease,AD)患者、14例aMCI患者和18例健康对照(healthy controls,HC)的静息态f MRI数据进行处理。结果使用VMHC和GCA技术,发现三组中默认网络(default-mode network,DMN)、突显网络(salience network,SN)和执行控制网络(executive control network,ECN)三个核心脑网络的连接差异。在三个核心脑网络内,VMHC显示AD组中的连接性较HC和aMCI组显著降低,但是在aMCI和HC组之间没有显著差异。从GCA获得的有向功能连接可以区分AD、aMCI和HC组。结论在三个核心脑网络中观察到的变化可以作为aMCI患者的神经影像学指标,用于区分AD、aMCI患者及HC。

Objective： The purpose of the present study was to identify neuroimaging biomarkers for amnestic mild cognitive impairment （aMCI）. Materials and Methods： We implemented voxel-mirrored homotopic connectivity （VMHC） and Granger causality analysis （GCA） on the resting-state fMRI data of 30 patients with Alzheimer＇s disease （AD）, 14 patients with aMCI, and 18 healthy controls （HC）. Results： Using VMHC and GCA techniques, we revealed differences in connectivity of the three core networks that include the default-mode network （DMN）, salience network （SN）, and executive control network （ECN） among these three groups. The VMHC revealed significantly decreased connectivity in the AD group compared with the HC and aMCI groups within the triple networks, but there were no group differences between aMCI and HC subjects. The directed connectivity obtained from GCA could differentiate between the AD, aMCI and HC groups. Conclusions： These findings suggest that changes observed in triple networks can be used as a neuroimaging indicator for aMCI patients to distinguish between AD, aMCI patients and normal volunteers.