Institutional Repository, Institute of Psychology, Chinese Academy of Sciences
Directed connectivity analysis of the brain network in mathematically gifted adolescents | |
Wei, MT (Wei, Mengting)1; Wang, QY (Wang, Qingyun)2; Jiang, X (Jiang, Xiang)2; Guo, YY (Guo, Yiyun)3; Fan, H (Fan, Hui)4; Wang, HX (Wang, Haixian)2; u, XS (Lu, Xuesong)5 | |
第一作者 | Wei, MT (Wei, Mengting) |
通讯作者邮箱 | [email protected] ; [email protected] |
心理所单位排序 | 1 |
摘要 | The neurocognitive characteristics of mathematically gifted adolescents are characterized by highly developed functional interactions between the right hemisphere and excellent cognitive control of the prefrontal cortex, enhanced frontoparietal cortex, and posterior parietal cortex. However, it is still unclear when and how these cortical interactions occur. In this paper, we used directional coherence analysis based on Granger causality to study the interactions between the frontal brain area and the posterior brain area in the mathematical frontoparietal network system during deductive reasoning tasks. Specifically, the scalp electroencephalography (EEG) signal was first converted into a cortical dipole source signal to construct a Granger causality network over the theta-band and gamma-band ranges. We constructed the binary Granger causality network at the 40 pairs of cortical nodes in the frontal lobe and parietal lobe across the theta-band and the gamma-band, which were selected as regions of interest (ROI). We then used graph theory to analyze the network differences. It was found that, in the process of reasoning tasks, the frontoparietal regions of the mathematically gifted show stronger working memory information processing at the theta-band. Additionally, in the middle and late stages of the conclusion period, the mathematically talented individuals have less information flow in the anterior and posterior parietal regions of the brain than the normal subjects. We draw the conclusion that the mathematically gifted brain frontoparietal network appears to have more "automated" information processing during reasoning tasks. |
2020 | |
语种 | 英语 |
DOI | 10.1155/2020/4209321 |
发表期刊 | COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE |
ISSN | 1687-5265 |
卷号 | 8页码:10 |
收录类别 | SCI ; SSCI ; EI |
资助项目 | National Nature Science Foundation of China[61773114] ; Foundation of Hygiene and Health of Jiangsu Province[H2018042] ; Key Research and Development Plan (Industry Foresight and Common Key Technology) of Jiangsu Province[BE2017007-03] |
出版者 | HINDAWI LTD |
WOS关键词 | GRANGER CAUSALITY ; TIME-SERIES ; INTELLIGENCE ; ACTIVATION ; EFFICIENCY |
WOS研究方向 | Mathematical & Computational Biology ; Neurosciences & Neurology |
WOS类目 | Mathematical & Computational Biology ; Neurosciences |
WOS记录号 | WOS:000570900800006 |
资助机构 | National Nature Science Foundation of China ; Foundation of Hygiene and Health of Jiangsu Province ; Key Research and Development Plan (Industry Foresight and Common Key Technology) of Jiangsu Province |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/32604 |
专题 | 中国科学院心理研究所 |
作者单位 | 1.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China 2.Southeast Univ, Sch Biol Sci & Med Engn, Minist Educ, Key Lab Child Dev & Learning Sci, Nanjing 210096, Jiangsu, Peoples R China 3.Qingdao Port Int Co Ltd, Qingdao 266011, Shandong, Peoples R China 4.Shandong Technol & Business Univ, Coinnovat Ctr Shandong Coll & Univ Future Intelli, Yantai 264005, Shandong, Peoples R China 5.Southeast Univ, Zhongda Hosp, Dept Rehabil, Nanjing 210009, Jiangsu, Peoples R China |
第一作者单位 | 中国科学院心理研究所 |
推荐引用方式 GB/T 7714 | Wei, MT ,Wang, QY ,Jiang, X ,et al. Directed connectivity analysis of the brain network in mathematically gifted adolescents[J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE,2020,8:10. |
APA | Wei, MT .,Wang, QY .,Jiang, X .,Guo, YY .,Fan, H .,...&u, XS .(2020).Directed connectivity analysis of the brain network in mathematically gifted adolescents.COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE,8,10. |
MLA | Wei, MT ,et al."Directed connectivity analysis of the brain network in mathematically gifted adolescents".COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 8(2020):10. |
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