Abnormal Interactions of the Salience Network, Central Executive Network, and Default-Mode Network in Patients With Different Cognitive Impairment Loads Caused by Leukoaraiosis

Frontiers in Neural Circuits

Lin Ai¹  Yuexiu Li³  Qingli Shi⁶  Qi Liu⁷  Yu Mei Zhang⁷  Jingfang Wang⁸  Huicong Shen⁹  Xuzhu Chen⁹  Jun Ma⁹  Hongyan Chen⁹ 

[1] 0Department of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China;Beijing Institute for Brain Disorders, Beijing, China;Beijing Key Laboratory of Central Nervous System Injury, Beijing, China;Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China;Center of Stroke, National Clinical Research Center for Neurological Diseases, Beijing, China;Department of Neurology, Beijing Pinggu Hospital, Beijing, China;Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China;Department of Neurology, General Hospital of The Yang Tze River Shipping, Wuhan Brain Hospital, Wuhan, China;Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China;Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China;

关键词: leukoaraiosis;    resting-state MRI;    functional connectivity;    salience network;    central executive network;    default-mode network;   

DOI  :  10.3389/fncir.2019.00042

来源: DOAJ

【 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.

【 授权许可】

Unknown