机构：[1]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China,神经内科[2]School of Life Science, Beijing Institute of Technology, Beijing, China,[3]College of Electronic and Information Engineering, Tongji University, Shanghai, China,[4]Beijing Haidian Foreign Language Shiyan School, Beijing, China,[5]School of Mechatronical Engineering, Intelligent Robotics Institute, Beijing Institute of Technology, Beijing, China,[6]Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China,[7]Beijing Institute of Geriatrics, Beijing, China,[8]National Clinical Research Center for Geriatric Disorders, Beijing, China
Despite subjective cognitive decline (SCD), a preclinical stage of Alzheimer's disease (AD), being widely studied in recent years, studies on centrality frequency in individuals with SCD are lacking. This study aimed to investigate the differences in centrality frequency between individuals with SCD and normal controls (NCs). Forty individuals with SCD and 53 well-matched NCs underwent a resting-state functional magnetic resonance imaging scan. We assessed individual dynamic functional connectivity using sliding window correlations. In each time window, brain regions with a high degree centrality were defined as hubs. Across the entire time window, the proportion of time that the hub appeared was characterized as centrality frequency. The centrality frequency correlated with cognitive performance differently in individuals with SCD and NCs. Our results revealed that in individuals with SCD, compared with NCs, correlations between centrality frequency of the anterior cortical regions and cognitive performance decreased (79.2% for NCs and 43.5% for individuals with SCD). In contrast, correlations between centrality frequency of the posterior cortical regions and cognitive performance increased in SCD individuals compared with NCs (20.8% for NCs and 56.5% for individuals with SCD). Moreover, the changes mainly focused on the anterior (93.3% for NCs and 45.5% for individuals with SCD) and posterior (6.7% for NCs and 54.5% for individuals with SCD) regions associated with the default mode network (DMN). In addition, we used absolute thresholds (correlation efficient r = 0.2, 0.25) and proportional thresholds (sparsity = 0.2, 0.25) to verify the results. Dynamic results are relative stable at absolute thresholds while static results are relative stable at proportional thresholds. Converging findings provide a new framework for the detection of the changes occurring in individuals with SCD via centrality frequency of the DMN.
第一作者机构：[1]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China,
共同第一作者：
通讯作者：
通讯机构：[1]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China,[2]School of Life Science, Beijing Institute of Technology, Beijing, China,[6]Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China,[7]Beijing Institute of Geriatrics, Beijing, China,[8]National Clinical Research Center for Geriatric Disorders, Beijing, China
推荐引用方式(GB/T 7714)：
Xie Yunyan,Liu Tiantian,Ai Jing,et al.Changes in Centrality Frequency of the Default Mode Network in Individuals With Subjective Cognitive Decline.[J].Frontiers in aging neuroscience.2019,11:118.doi:10.3389/fnagi.2019.00118.
APA：
Xie Yunyan,Liu Tiantian,Ai Jing,Chen Duanduan,Zhuo Yiran...&Yan Tianyi.(2019).Changes in Centrality Frequency of the Default Mode Network in Individuals With Subjective Cognitive Decline..Frontiers in aging neuroscience,11,
MLA：
Xie Yunyan,et al."Changes in Centrality Frequency of the Default Mode Network in Individuals With Subjective Cognitive Decline.".Frontiers in aging neuroscience 11.(2019):118
