CASIA OpenIR
Transition and Dynamic Reconfiguration of Whole-Brain Network in Major Depressive Disorder
Wang, Shengpei1,2,3; Wen, Hongwei4,5; Hu, Xiaopeng6; Xie, Peng7,8,9; Qiu, Shuang1,2; Qian, Yinfeng6; Qiu, Jiang4,5; He, Huiguang1,2,3,10
Source PublicationMOLECULAR NEUROBIOLOGY
ISSN0893-7648
2020-07-10
Pages14
Corresponding AuthorQiu, Jiang(qiuj318@swu.edu.cn) ; He, Huiguang(huiguang.he@ia.ac.cn)
AbstractMajor depressive disorder (MDD) has been characterized by abnormal brain activity and interactions across the whole-brain functional networks. However, the underlying alteration of brain dynamics remains unclear. Here, we aim to investigate in detail the temporal dynamics of brain activity for MDD, and to characterize the spatiotemporal specificity of whole-brain networks and transitions across them. We developed a hidden Markov model (HMM) analysis for resting-state functional magnetic resonance imaging (fMRI) from two independent cohorts with MDD. In particular, one cohort included 127 MDD patients and 117 gender- and age-matched healthy controls, and the other included 44 MDD patients and 33 controls. We identified brain states characterized by the engagement of distinct functional networks that recurred over time and assessed the dynamical configuration of whole-brain networks and the patterns of activation of states that characterized the MDD groups. Furthermore, we analyzed the community structure of transitions across states to investigate the specificity and abnormality of transitions for MDD. Based on our identification of 12 HMM states, we found that the temporal reconfiguration of states in MDD was associated with the high-order cognition network (DMN), subcortical network (SUB), and sensory and motor networks (SMN). Further, we found that the specific module of transitions was closely related to MDD, which were characterized by two HMM states with opposite activations in DMN, SMN, and subcortical areas. Notably, our results provide novel insights into the dynamical circuit configuration of whole-brain networks for MDD and suggest that brain dynamics should remain a prime target for further MDD research.
KeywordResting-state fMRI Major depressive disorder (MDD) Hidden Markov model (HMM) Brain network dynamic Transition probability
DOI10.1007/s12035-020-01995-2
WOS KeywordDEFAULT-MODE NETWORK ; FUNCTIONAL CONNECTIVITY ; COGNITIVE DYSFUNCTION ; WHITE-MATTER ; FLUCTUATIONS ; STATES ; MRI
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[:61976209] ; National Natural Science Foundation of China[61906188] ; National Natural Science Foundation of China[81701785] ; International Collaboration Key Project of Chinese Academy of Sciences (CAS)[173211KYSB20190024] ; Fundamental Research Funds fotr the Central Universities[SWU118065] ; Strategic Priority Research Program of CAS[XDB32040000]
Funding OrganizationNational Natural Science Foundation of China ; International Collaboration Key Project of Chinese Academy of Sciences (CAS) ; Fundamental Research Funds fotr the Central Universities ; Strategic Priority Research Program of CAS
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000547222000001
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/40100
Collection中国科学院自动化研究所
Corresponding AuthorQiu, Jiang; He, Huiguang
Affiliation1.Chinese Acad Sci, Res Ctr Brain Inspired Intelligence, Inst Automat, Beijing, Peoples R China
2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Minist Educ, Key Lab Cognit & Personal, Chongqing, Peoples R China
5.Southwest Univ, Sch Psychol, Chongqing, Peoples R China
6.Anhui Med Univ, Dept Radiol, Affiliated Hosp 1, Hefei, Anhui, Peoples R China
7.Chongqing Med Univ, Inst Neurosci, Chongqing, Peoples R China
8.Chongqing Key Lab Neurobiol, Chongqing, Peoples R China
9.Chongqing Med Univ, Dept Neurol, Affiliated Hosp 1, Chongqing, Peoples R China
10.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wang, Shengpei,Wen, Hongwei,Hu, Xiaopeng,et al. Transition and Dynamic Reconfiguration of Whole-Brain Network in Major Depressive Disorder[J]. MOLECULAR NEUROBIOLOGY,2020:14.
APA Wang, Shengpei.,Wen, Hongwei.,Hu, Xiaopeng.,Xie, Peng.,Qiu, Shuang.,...&He, Huiguang.(2020).Transition and Dynamic Reconfiguration of Whole-Brain Network in Major Depressive Disorder.MOLECULAR NEUROBIOLOGY,14.
MLA Wang, Shengpei,et al."Transition and Dynamic Reconfiguration of Whole-Brain Network in Major Depressive Disorder".MOLECULAR NEUROBIOLOGY (2020):14.
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