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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

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机构: [1]Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, [2]Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, [3]Center of Stroke, National Clinical Research Center for Neurological Diseases, Beijing, China, [4]Beijing Institute for Brain Disorders, Beijing, China, [5]Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China, [6]Beijing Key Laboratory of Central Nervous System Injury, Beijing, China, [7]Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, [8]Department of Neurology, Beijing Pinggu Hospital, Beijing, China, [9]Department of Neurology, General Hospital of The Yang Tze River Shipping, Wuhan Brain Hospital, Wuhan, China, [10]Department of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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关键词: leukoaraiosis resting-state MRI functional connectivity salience network central executive network default-mode network

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.

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出版当年[2018]版:
大类 | 3 区 医学
小类 | 3 区 神经科学
最新[2023]版:
大类 | 3 区 医学
小类 | 4 区 神经科学
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出版当年[2017]版:
Q2 NEUROSCIENCES
最新[2023]版:
Q2 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2017版] 出版当年五年平均 出版前一年[2016版] 出版后一年[2018版]

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第一作者机构: [1]Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China,
通讯作者:
通讯机构: [2]Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, [3]Center of Stroke, National Clinical Research Center for Neurological Diseases, Beijing, China, [4]Beijing Institute for Brain Disorders, Beijing, China, [5]Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China, [6]Beijing Key Laboratory of Central Nervous System Injury, Beijing, China, [7]Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China,
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