Changes in Centrality Frequency of the Default Mode Network in Individuals With Subjective Cognitive Decline

被引:25
|
作者
Xie, Yunyan [1 ]
Liu, Tiantian [2 ]
Ai, Jing [2 ]
Chen, Duanduan [2 ]
Zhuo, Yiran [3 ]
Zhao, Guanglei [2 ]
He, Shuai [4 ]
Wu, Jinglong [5 ]
Han, Ying [1 ,6 ,7 ,8 ]
Yan, Tianyi [2 ]
机构
[1] Capital Med Univ, Xuanwu Hosp, Dept Neurol, Beijing, Peoples R China
[2] Beijing Inst Technol, Sch Life Sci, Beijing, Peoples R China
[3] Tongji Univ, Coll Elect & Informat Engn, Shanghai, Peoples R China
[4] Beijing Haidian Foreign Language Shiyan Sch, Beijing, Peoples R China
[5] Beijing Inst Technol, Intelligent Robot Inst, Sch Mechatron Engn, Beijing, Peoples R China
[6] Beijing Inst Brain Disorders, Ctr Alzheimers Dis, Beijing, Peoples R China
[7] Beijing Inst Geriatr, Beijing, Peoples R China
[8] Natl Clin Res Ctr Geriatr Disorders, Beijing, Peoples R China
来源
FRONTIERS IN AGING NEUROSCIENCE | 2019年 / 11卷
基金
中国国家自然科学基金;
关键词
subjective cognitive decline; centrality frequency; resting-state functional magnetic resonance imaging; hub probability; default mode network; FUNCTIONAL CONNECTIVITY; ALZHEIMERS-DISEASE; CINGULATE CORTEX; BRAIN; INTEGRATION; DYNAMICS; MEMORY; FMRI;
D O I
10.3389/fnagi.2019.00118
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
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.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Longitudinal Analysis of Objective and Self-Reported Cognitive Functions in Individuals with Subjective Cognitive Decline
    Ryu, Seon Young
    Lee, Chunghwee
    Ho, Seonghee
    Hong, Yun Jeong
    Jeong, Jee Hyang
    Park, Kee Hyung
    Wang, Min Jeong
    Choi, Seong Hye
    Kim, Sangyun
    Yang, Dong Won
    DEMENTIA AND GERIATRIC COGNITIVE DISORDERS, 2025,
  • [42] The default mode network and rumination in individuals at risk for depression
    Chou, Tina
    Deckersbach, Thilo
    Dougherty, Darin D.
    Hooley, Jill M.
    SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, 2023, 18 (01)
  • [43] Network Optimization of Functional Connectivity Within Default Mode Network Regions to Detect Cognitive Decline
    Chaovalitwongse, Wanpracha Art
    Won, Daehan
    Seref, Onur
    Borghesani, Paul
    Askren, M. Katie
    Willis, Sherry L.
    Grabowski, Thomas J.
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2017, 25 (07) : 1079 - 1089
  • [44] Complexity changes in preclinical Alzheimer's disease: An MEG study of subjective cognitive decline and mild cognitive impairment
    Shumbayawonda, Elizabeth
    Lopez-Sanz, David
    Bruna, Ricardo
    Serrano, Noelia
    Fernandez, Alberto
    Maestu, Fernando
    Abasolo, Daniel
    CLINICAL NEUROPHYSIOLOGY, 2020, 131 (02) : 437 - 445
  • [45] Dynamic network connectivity predicts subjective cognitive decline: the Sino-Longitudinal Cognitive impairment and dementia study
    Dong, Guozhao
    Yang, Liu
    Li, Chiang-shan R.
    Wang, Xiaoni
    Zhang, Yihe
    Du, Wenying
    Han, Ying
    Tang, Xiaoying
    BRAIN IMAGING AND BEHAVIOR, 2020, 14 (06) : 2692 - 2707
  • [46] Reduced Lexical Access to Verbs in Individuals With Subjective Cognitive Decline
    Macoir, Joel
    Lafay, Anne
    Hudon, Carol
    AMERICAN JOURNAL OF ALZHEIMERS DISEASE AND OTHER DEMENTIAS, 2019, 34 (01): : 5 - 15
  • [47] Connectome-based model predicts episodic memory performance in individuals with subjective cognitive decline and amnestic mild cognitive impairment
    Zhu, Yao
    Zang, Feifei
    Wang, Qing
    Zhang, Qianqian
    Tan, Chang
    Zhang, Shaoke
    Hu, Tianjian
    Qi, Lingyu
    Xu, Shouyong
    Ren, Qingguo
    Xie, Chunming
    BEHAVIOURAL BRAIN RESEARCH, 2021, 411
  • [48] Default-mode network dysfunction and cognitive impairment in progressive MS
    Rocca, M. A.
    Valsasina, P.
    Absinta, M.
    Riccitelli, G.
    Rodegher, M. E.
    Misci, P.
    Rossi, P.
    Falini, A.
    Comi, G.
    Filippi, M.
    NEUROLOGY, 2010, 74 (16) : 1252 - 1259
  • [49] Age effect on the default mode network, inner thoughts, and cognitive abilities
    Mevel, Katell
    Landeau, Brigitte
    Fouquet, Marine
    La Joie, Renaud
    Villain, Nicolas
    Mezenge, Florence
    Perrotin, Audrey
    Eustache, Francis
    Desgranges, Beatrice
    Chetelat, Gael
    NEUROBIOLOGY OF AGING, 2013, 34 (04) : 1292 - 1301
  • [50] Aberrant Amplitude of Low-Frequency Fluctuation and Degree Centrality within the Default Mode Network in Patients with Vascular Mild Cognitive Impairment
    Li, Haoyuan
    Jia, Xiuqin
    Li, Yingying
    Jia, Xuejia
    Yang, Qi
    BRAIN SCIENCES, 2021, 11 (11)