兰州大学机构库 >信息科学与工程学院
Aberrant Temporal Variability in Brain Regions during Risk Decision Making in Patients with Bipolar I Disorder: A Dynamic Effective Connectivity Study
Ji, Shanling1; Ma, Hongxia2; Yao, Mengyuan3; Guo, Man1; Li, Shan1; Chen, Nan1; Liu, Xia1; Shao, Xuexiao1; Yao, ZJ(姚志军)1; Hu, B(胡斌)1,4,5,6,7,8
2021-08-10
Source PublicationNEUROSCIENCE
ISSN0306-4522
Volume469Pages:68-78
AbstractI disorder (BD-I) is associated with high-risk behaviors, such as suicide attempts and addictive substance abuse. Understanding brain activity exposure to risk decision making provides evidence for the treatment of BD-I patients. This study aimed to investigate the temporal dynamics of brain connectivity underlying risk decision making in patients with BD-I. A total of 101 subjects (48 BD-I patients and 53 age-and gender-matched healthy controls (HCs)) were included in this research. We analyzed the fMRI data acquired during Balloon Analog Risk Task (BART) performance. Voxel-wise dynamic effective connectivity (dEC) was employed to measure the activities in 264 brain regions. The coefficient of variation (CV) was calculated as temporal dynamics of brain connectivity. Finally, we used structural equation modeling (SEM) to determine the relationships of dEC in brain regions with clinical symptoms, behavior performances in patients. Results showed that BD-I patients exhibited increased dynamics in four lobes and exhibited decreased in three frontal regions. Besides, SEM results showed that the impulsive symptoms of patients were affected by the dEC during both resting and task states. Moreover, the dEC of left supramarginal gyrus (SMG) influenced those of left orbital frontal and right cuneus (CUN), as well as the affective symptoms and BART behaviors in patients with BD-I. Our results suggested that the altered temporal dynamics of brain connectivity might contribute to the impulsivity of BD-I during resting and task states. More importantly, the left SMG might be a therapeutic target to reduce the risk behavior in BD-I patients. (c) 2021 IBRO. Published by Elsevier Ltd. All rights reserved.
Keywordtemporal dynamics coefficient of variation supramarginal gyrus orbital frontal
PublisherPERGAMON-ELSEVIER SCIENCE LTD
DOI10.1016/j.neuroscience.2021.06.024
Indexed BySCOPUS ; SCIE
Language英语
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000677679400006
Original Document TypeArticle
Citation statistics
Document Type期刊论文
Identifierhttp://ir.lzu.edu.cn/handle/262010/452511
Collection信息科学与工程学院
Corresponding AuthorYao, Zhijun
Affiliation1.Lanzhou Univ, Sch Informat Sci & Engn, Gansu Prov Key Lab Wearable Comp, Lanzhou 730000, Gansu, Peoples R China;
2.Jining Med Univ, Sch Clin Med, Jining, Shandong, Peoples R China;
3.Jining Psychiat Hosp, Dept Psychiat, Jining, Shandong, Peoples R China;
4.Qinghai Normal Univ, Sch Comp Sci, Xining, Qinghai, Peoples R China;
5.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai Inst Biol Sci, Shanghai, Peoples R China;
6.Lanzhou Univ, Joint Res Ctr Cognit Neurosensor Technol, Lanzhou, Peoples R China;
7.Chinese Acad Sci, Inst Semicond, Beijing, Peoples R China;
8.Lanzhou Univ, Minist Educ, Engn Res Ctr Open Source Software & Real Time Sys, Lanzhou, Peoples R China
First Author AffilicationSchool of Information Science and Engineering
Corresponding Author AffilicationSchool of Information Science and Engineering
Recommended Citation
GB/T 7714
Ji, Shanling,Ma, Hongxia,Yao, Mengyuan,et al. Aberrant Temporal Variability in Brain Regions during Risk Decision Making in Patients with Bipolar I Disorder: A Dynamic Effective Connectivity Study[J]. NEUROSCIENCE,2021,469:68-78.
APA Ji, Shanling.,Ma, Hongxia.,Yao, Mengyuan.,Guo, Man.,Li, Shan.,...&Hu, Bin.(2021).Aberrant Temporal Variability in Brain Regions during Risk Decision Making in Patients with Bipolar I Disorder: A Dynamic Effective Connectivity Study.NEUROSCIENCE,469,68-78.
MLA Ji, Shanling,et al."Aberrant Temporal Variability in Brain Regions during Risk Decision Making in Patients with Bipolar I Disorder: A Dynamic Effective Connectivity Study".NEUROSCIENCE 469(2021):68-78.
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