Dynamical Complexity Fingerprints of Occupation-Dependent Brain Functional Networks in Professional Seafarers
文献类型：期刊论文
| 作者 | Yan, Hongjie8; Wu, Huijun7; Chen, Yanyan7 ; Yang, Yang6; Xu, Min5; Zeng, Weiming4; Zhang, Jian3; Chang, Chunqi2,7; Wang, Nizhuan1
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| 刊名 | FRONTIERS IN NEUROSCIENCE
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| 出版日期 | 2022-03-18 |
| 卷号 | 16页码:14 |
| 关键词 | brain entropy dynamical complexity efficiency graph theory occupational neuroplasticity seafarer small-worldness |
| DOI | 10.3389/fnins.2022.830808 |
| 通讯作者 | Chang, Chunqi(cqchang@szu.edu.cn) ; Wang, Nizhuan(wangnizhuan1120@gmail.com) |
| 英文摘要 | The complexity derived from resting-state functional magnetic resonance imaging (rs-fMRI) data has been applied for exploring cognitive states and occupational neuroplasticity. However, there is little information about the influence of occupational factors on dynamic complexity and topological properties of the connectivity networks. In this paper, we proposed a novel dynamical brain complexity analysis (DBCA) framework to explore the changes in dynamical complexity of brain activity at the voxel level and complexity topology for professional seafarers caused by long-term working experience. The proposed DBCA is made up of dynamical brain entropy mapping analysis and complex network analysis based on brain entropy sequences, which generate the dynamical complexity of local brain areas and the topological complexity across brain areas, respectively. First, the transient complexity of voxel-wise brain map was calculated; compared with non-seafarers, seafarers showed decreased dynamic entropy values in the cerebellum and increased values in the left fusiform gyrus (BA20). Further, the complex network analysis based on brain entropy sequences revealed small-worldness in terms of topological complexity in both seafarers and non-seafarers, indicating that it is an inherent attribute of human the brain. In addition, seafarers showed a higher average path length and lower average clustering coefficient than non-seafarers, suggesting that the information processing ability is reduced in seafarers. Moreover, the reduction in efficiency of seafarers suggests that they have a less efficient processing network. To sum up, the proposed DBCA is effective for exploring the dynamic complexity changes in voxel-wise activity and region-wise connectivity, showing that occupational experience can reshape seafarers' dynamic brain complexity fingerprints. |
| 收录类别 | SCI |
| WOS关键词 | RESTING-STATE FMRI ; SMALL-WORLD ; CONNECTIVITY NETWORKS ; APPROXIMATE ENTROPY ; ORGANIZATION ; HUBS |
| 资助项目 | National Natural Science Foundation of China[61971289] ; National Natural Science Foundation of China[82001160] ; Project of Six Talent Peaks of Jiangsu Province[SWYY-017] ; Shenzhen Fundamental Research Project[JCYJ20170412111316339] ; Shenzhen Talent Peacock Plan[827-000083] ; Project of Huaguoshan Mountain Talent Plan-Doctors for Innovation and Entrepreneurship |
| WOS研究方向 | Neurosciences & Neurology |
| 语种 | 英语 |
| WOS记录号 | WOS:000779292500001 |
| 出版者 | FRONTIERS MEDIA SA |
| 资助机构 | National Natural Science Foundation of China ; Project of Six Talent Peaks of Jiangsu Province ; Shenzhen Fundamental Research Project ; Shenzhen Talent Peacock Plan ; Project of Huaguoshan Mountain Talent Plan-Doctors for Innovation and Entrepreneurship |
| 源URL | [http://ir.psych.ac.cn/handle/311026/42490]  |
| 专题 | 心理研究所_中国科学院行为科学重点实验室 |
| 通讯作者 | Chang, Chunqi; Wang, Nizhuan |
| 作者单位 | 1.ShanghaiTech Univ, Sch Biomed Engn, Shanghai, Peoples R China 2.Peng Cheng Lab, Shenzhen, Peoples R China 3.Shenzhen Univ, Hlth Sci Ctr, Sch Pharm, Shenzhen, Peoples R China 4.Shanghai Maritime Univ, Lab Digital Image & Intelligent Computat, Shanghai, Peoples R China 5.Shenzhen Univ, Ctr Brain Disorders & Cognit Sci, Shenzhen, Peoples R China 6.Chinese Acad Sci, Inst Psychol, Ctr Brain Sci & Learning Difficulties, Key Lab Behav Sci, Beijing, Peoples R China 7.Shenzhen Univ, Hlth Sci Ctr, Sch Biomed Engn, Shenzhen, Peoples R China 8.Xuzhou Med Univ, Affiliated Lianyungang Hosp, Dept Neurol, Lianyungang, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yan, Hongjie,Wu, Huijun,Chen, Yanyan,et al. Dynamical Complexity Fingerprints of Occupation-Dependent Brain Functional Networks in Professional Seafarers[J]. FRONTIERS IN NEUROSCIENCE,2022,16:14. |
| APA | Yan, Hongjie.,Wu, Huijun.,Chen, Yanyan.,Yang, Yang.,Xu, Min.,...&Wang, Nizhuan.(2022).Dynamical Complexity Fingerprints of Occupation-Dependent Brain Functional Networks in Professional Seafarers.FRONTIERS IN NEUROSCIENCE,16,14. |
| MLA | Yan, Hongjie,et al."Dynamical Complexity Fingerprints of Occupation-Dependent Brain Functional Networks in Professional Seafarers".FRONTIERS IN NEUROSCIENCE 16(2022):14. |
入库方式： OAI收割
来源：心理研究所
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