| 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)1,2,4,5,6,7,8 | |
| 2022-06-27 | |
| Source Publication | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING Impact Factor & Quartile |
| ISSN | 1534-4320 |
| Volume | 30Pages:1705-1715 |
| Abstract | Studies 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. |
| Keyword | Depression Visualization Electroencephalography Network topology Faces Topology Sun Mild depression EEG functional brain network tree agglomerative hierarchical clustering visual search |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| DOI | 10.1109/TNSRE.2022.3181690 |
| Indexed By | SCIE |
| Language | 英语 |
| WOS Research Area | Engineering ; Rehabilitation |
| WOS Subject | Engineering, Biomedical ; Rehabilitation |
| WOS ID | WOS:000821498200001 |
| Original Document Type | Article |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | https://ir.lzu.edu.cn/handle/262010/483724 |
| Collection | 信息科学与工程学院 |
| Affiliation | 1.Lanzhou Univ, Sch Informat Sci & Engn, Gansu Prov Key Lab Wearable Comp, Lanzhou 730000, Peoples R China; 2.Beijing Inst Technol, Inst Engn Med, Brain Hlth Engn Lab, Beijing 100811, Peoples R China; 3.Shandong Acad Intelligent Comp Technol, Jinan 250000, Peoples R China; 4.Lanzhou Univ, CAS Ctr Excellence Brain Sci, Lanzhou, Peoples R China; 5.Lanzhou Univ, Inst Biol Sci, Shanghai Inst Biol Sci, Lanzhou, Peoples R China; 6.Lanzhou Univ, Joint Res Ctr Cognit Neurosensor Technol, Lanzhou, Peoples R China; 7.Chinese Acad Sci, Inst Semicond, Beijing 100045, Peoples R China; 8.Lanzhou Univ, Minist Educ, Engn Res Ctr Open Source Software & Real Time Sys, Lanzhou 730000, Peoples R China |
| First Author Affilication | School of Information Science and Engineering |
| 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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