Triple-network analysis of Alzheimer’s disease based on the energy landscape

Frontiers in Neuroscience

Neuroscience

Yunfeng Mu¹  Chenxi Li²  Nan Yao³  Tianlin Zhou⁴  Youjun Li⁴  Simeng An⁴  Chunwang Su⁴  Junjie Jiang⁴  Siping Zhang⁴  Zi-Gang Huang⁵ 

[1] Department of Gynecological Oncology, Shaanxi Provincial Cancer Hospital, Xi'an, China;Department of Military Medical Psychology, Air Force Medical University, Xi'an, Shaanxi, China;Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China;Department of Applied Physics, Xi'an University of Technology, Xi'an, China;The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, China;Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China;The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Neuro-informatics and Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi, China;Research Center for Brain-inspired Intelligence, Xi'an Jiaotong University, Xi'an, Shaanxi, China;The State Key Laboratory of Congnitive Neuroscience and Learning, Beijing Normal University, Beijing, China;

关键词: triple-network;    energy landscape;    Alzheimer’s disease;    resting-state fMRI;    dynamics analysis;   

DOI  :  10.3389/fnins.2023.1171549

 received in 2023-02-22, accepted in 2023-04-13,  发布年份 2023

来源: Frontiers

【 摘 要 】

IntroductionResearch on the brain activity during resting state has found that brain activation is centered around three networks, including the default mode network (DMN), the salient network (SN), and the central executive network (CEN), and switches between multiple modes. As a common disease in the elderly, Alzheimer’s disease (AD) affects the state transitions of functional networks in the resting state.MethodsEnergy landscape, as a new method, can intuitively and quickly grasp the statistical distribution of system states and information related to state transition mechanisms. Therefore, this study mainly uses the energy landscape method to study the changes of the triple-network brain dynamics in AD patients in the resting state.ResultsAD brain activity patterns are in an abnormal state, and the dynamics of patients with AD tend to be unstable, with an unusually high flexibility in switching between states. Also , the subjects’ dynamic features are correlated with clinical index.DiscussionThe atypical balance of large-scale brain systems in patients with AD is associated with abnormally active brain dynamics. Our study are helpful for further understanding the intrinsic dynamic characteristics and pathological mechanism of the resting-state brain in AD patients.

【 授权许可】

Unknown   
Copyright © 2023 Li, An, Zhou, Su, Zhang, Li, Jiang, Mu, Yao, Huang and Alzheimer’s Disease Neuroimaging Initiative.