兰州大学机构库 >信息科学与工程学院
Abnormal Brain Topological Structure of Mild Depression During Visual Search Processing Based on EEG Signals
Sun, Shuting1,2; Liu, Liangliang1; Shao, Xuexiao1; Yan, Chang2; Li, XW(李小伟)1,3; Hu, B(胡斌)1,2,4,5
2022
Source PublicationIEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING   Impact Factor & Quartile
ISSN1534-4320
Volume30Pages:1705-1715
AbstractStudies have shown that attention bias can affect behavioral indicators in patients with depression, but it is still unclear how this bias affects the brain network topology of patients with mild depression (MD). Therefore, a novel functional brain network analysis and hierarchical clustering methods were used to explore the abnormal brain topology of MD patients based on EEG signals during the visual search paradigm. The behavior results showed that the reaction time of MD group was significantly higher than that of normal group. The results of functional brain network indicated significant differences in functional connections between the two groups, the amount of inter-hemispheric long-distance connections are much larger than intra-hemispheric short-distance connections. Patients with MD showed significantly lower local efficiency and clustering coefficient, destroyed community structure of frontal lobe and parietal-occipital lobe, frontal asymmetry, especially in beta band. In addition, the average value of long-distance connections between left frontal and right parietal-occipital lobes presented significant correlation with depressive symptoms. Our results suggested that MD patients achieved long-distance connections between the frontal and parietal-occipital regions by sacrificing the connections within the regions, which might provide new insights into the abnormal cognitive processing mechanism of depression. © 2001-2011 IEEE.
KeywordBrain Cluster analysis Electroencephalography Electrophysiology Agglomerative hierarchical clustering Brain networks Depression Face Functional brain network Long-distance connection Mild depression Network topology Tree agglomerative hierarchical clustering Visual search
PublisherInstitute of Electrical and Electronics Engineers Inc.
DOI10.1109/TNSRE.2022.3181690
Indexed ByEI
Language英语
EI Accession Number20222812350478
EI KeywordsNetwork topology
EI Classification Number461.1 Biomedical Engineering ; 461.6 Medicine and Pharmacology ; 703.1 Electric Networks ; 723 Computer Software, Data Handling and Applications
Original Document TypeJournal article (JA)
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/486364
Collection信息科学与工程学院
Corresponding AuthorLi, Xiaowei; Hu, Bin
Affiliation
1.Lanzhou University, Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou; 730000, China;
2.Institute of Engineering Medicine, Beijing Institute of Technology, Brain Health Engineering Laboratory, Beijing; 100811, China;
3.Shandong Academy of Intelligent Computing Technology, Jinan; 250000, China;
4.Institutes for Biological Sciences, Shanghai Institutes for Biological Sciences, The Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University, Institute of Semiconductors, Chinese Academy of Sciences, Cas Center for Excellence in Brain Science, Beijing; 100045, China;
5.Engineering Research Center of Open Source Software and Real-Time System (Lanzhou University), Ministry of Education, Lanzhou; 730000, China
First Author AffilicationSchool of Information Science and Engineering
Corresponding Author AffilicationSchool of Information Science and Engineering;  Lanzhou University
Recommended Citation
GB/T 7714
Sun, Shuting,Liu, Liangliang,Shao, Xuexiao,et al. Abnormal Brain Topological Structure of Mild Depression During Visual Search Processing Based on EEG Signals[J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,2022,30:1705-1715.
APA Sun, Shuting,Liu, Liangliang,Shao, Xuexiao,Yan, Chang,Li, Xiaowei,&Hu, Bin.(2022).Abnormal Brain Topological Structure of Mild Depression During Visual Search Processing Based on EEG Signals.IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING,30,1705-1715.
MLA Sun, Shuting,et al."Abnormal Brain Topological Structure of Mild Depression During Visual Search Processing Based on EEG Signals".IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 30(2022):1705-1715.
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