机构：[1]Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, 100053, China神经内科首都医科大学宣武医院[2]State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China[3]Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, 100875, China[4]Department of Neurology, Mudanjiang Medical University Affiliated HongQi Hospital, Mudanjiang, 157000, China[5]School of Information Science and Engineering, Yanshan University, 438 Hebei Avenue, Qinhuangdao, 066004, China[6]The Key Laboratory of Software Engineering of Hebei Province, Yanshan University, 438 Hebei Avenue, Qinhuangdao, 066004, China[7]Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China[8]Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China[9]Beijing Institute of Geriatrics, Beijing, 100053, China[10]National Clinical Research Center for Geriatric Disorders, Beijing, 100053, China
Multiscale entropy (MSE) analysis is a novel entropy-based analysis method for quantifying the complexity of dynamic neural signals and physiological systems across multiple temporal scales. This approach may assist in elucidating the pathophysiologic mechanisms of amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD). Using resting-state fNIRS imaging, we recorded spontaneous brain activity from 31 healthy controls (HC), 27 patients with aMCI, and 24 patients with AD. The quantitative analysis of MSE revealed that reduced brain signal complexity in AD patients in several networks, namely, the default, frontoparietal, ventral and dorsal attention networks. For the default and ventral attention networks, the MSE values also showed significant positive correlations with cognitive performances. These findings demonstrated that the MSE-based analysis method could serve as a novel tool for fNIRS study in characterizing and understanding the complexity of abnormal cortical signals in AD cohorts. (c) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
基金：
National Key Research and Development Program of China (2016YFC1306300);
National Science Foundation of China (Grant No. 31371007, 81571755, 81761148026, 81430037,81601454, 61633018, 61503326);
Beijing Nature Science Foundation (7161009);
Beijing Municipal government (PXM2017_026283_000002);
Beijing Municipal Science & Technology Commission (Z161100002616020);
Fundamental and Clinical Cooperative Research Program of Capital Medical University (16JL-L08);
Health and Family Planning Commission of Shunyi District Beijing; Opening Foundation of Key Laboratory of Behavioral Science;
Chinese Academy of Sciences;
Natural Science Foundation of Hebei Province in China (F2016203343);
China Postdoctoral Science Foundation (2015M581317).
语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2017]版：
大类|2 区医学
小类|2 区光学2 区核医学3 区生化研究方法
最新[2025]版：
大类|3 区医学
小类|2 区生化研究方法3 区光学3 区核医学
JCR分区：
出版当年[2016]版：
Q1OPTICSQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGINGQ2BIOCHEMICAL RESEARCH METHODS
最新[2023]版：
Q2BIOCHEMICAL RESEARCH METHODSQ2OPTICSQ2RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
第一作者机构：[1]Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, 100053, China
共同第一作者：
通讯作者：
通讯机构：[1]Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, 100053, China[2]State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China[3]Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, 100875, China[8]Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China[9]Beijing Institute of Geriatrics, Beijing, 100053, China[10]National Clinical Research Center for Geriatric Disorders, Beijing, 100053, China
推荐引用方式(GB/T 7714)：
XUANYU LI ,ZHAOJUN ZHU ,WEINA ZHAO ,et al.Decreased resting-state brain signal complexity in patients with mild cognitive impairment and Alzheimer's disease: a multi-scale entropy analysis[J].BIOMEDICAL OPTICS EXPRESS.2018,9(4):1916-1929.doi:10.1364/BOE.9.001916.
APA：
XUANYU LI,,ZHAOJUN ZHU,,WEINA ZHAO,,YU SUN,,DONG WEN,...&AND YING HAN.(2018).Decreased resting-state brain signal complexity in patients with mild cognitive impairment and Alzheimer's disease: a multi-scale entropy analysis.BIOMEDICAL OPTICS EXPRESS,9,(4)
MLA：
XUANYU LI,,et al."Decreased resting-state brain signal complexity in patients with mild cognitive impairment and Alzheimer's disease: a multi-scale entropy analysis".BIOMEDICAL OPTICS EXPRESS 9..4(2018):1916-1929
