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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hxwang@seu.edu.cn ; luxue_001@163.com
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
DOI10.1155/2020/4209321
发表期刊COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
ISSN1687-5265
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
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
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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