机构：[1]Department of Biomedical Engineering, School of Life Science, Beijing Institute of technology, 5 South Zhongguancun Street, Beijing 100081, China[2]Department of Neurology, Xuanwu hospital of Capital Medical University, No.45 Street Changchun, District Xichen, Beijing 100053, China神经科系统神经内科首都医科大学宣武医院[3]Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA[4]Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA[5]National Clinical Research Center for Geriatric Disorders, Beijing, China
Subjective cognitive decline (SCD) is the preclinical stage of Alzheimer's disease (AD), the most common neurodegenerative disease in the elderly. We collected resting-state functional MRI data and applied novel graph-theoretical analyses to investigate the dynamic spatiotemporal cerebral connectivities in 63 individuals with SCD and 67 normal controls (NC). Temporal flexibility and spatiotemporal diversity were mapped to reflect dynamic time-varying functional interactions among the brain regions within and outside communities. Temporal flexibility indicates how frequently a brain region interacts with regions of other communities across time; spatiotemporal diversity describes how evenly a brain region interacts with regions belonging to other communities. SCD and NC differed in large-scale brain dynamics characterized by the two measures, which, with support vector machine, demonstrated higher classification accuracies than conventional static parameters and structural metrics. The findings characterize dynamic network dysfunction that may serve as a biomarker of the preclinical stage of AD.
第一作者机构：[1]Department of Biomedical Engineering, School of Life Science, Beijing Institute of technology, 5 South Zhongguancun Street, Beijing 100081, China
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推荐引用方式(GB/T 7714)：
Guozhao Dong,Liu Yang,Chiang-shan R. Li,et al.Dynamic network connectivity predicts subjective cognitive decline: the Sino-Longitudinal Cognitive impairment and dementia study.[J].Brain imaging and behavior.2020,14(6):2692-2707.doi:10.1007/s11682-019-00220-6.
APA：
Guozhao Dong,Liu Yang,Chiang-shan R. Li,Xiaoni Wang,Yihe Zhang...&Xiaoying Tang.(2020).Dynamic network connectivity predicts subjective cognitive decline: the Sino-Longitudinal Cognitive impairment and dementia study..Brain imaging and behavior,14,(6)
MLA：
Guozhao Dong,et al."Dynamic network connectivity predicts subjective cognitive decline: the Sino-Longitudinal Cognitive impairment and dementia study.".Brain imaging and behavior 14..6(2020):2692-2707
