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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
First AuthorWei, MT (Wei, Mengting)
Corresponding AuthorWang, Haixian(hxwang@seu.edu.cn) ; Lu, Xuesong(luxue_001@163.com)
Correspondent Emailhxwang@seu.edu.cn ; luxue_001@163.com
Contribution Rank1
Abstract

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
Language英语
DOI10.1155/2020/4209321
Source PublicationCOMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
ISSN1687-5265
Volume8Pages:10
Subtypearticle
Indexed ByEI
Funding ProjectNational 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]
PublisherHINDAWI LTD
WOS KeywordGRANGER CAUSALITY ; TIME-SERIES ; INTELLIGENCE ; ACTIVATION ; EFFICIENCY
WOS Research AreaMathematical & Computational Biology ; Neurosciences & Neurology
WOS SubjectMathematical & Computational Biology ; Neurosciences
WOS IDWOS:000570900800006
Funding OrganizationNational 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
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Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/32604
Collection中国科学院心理研究所
Affiliation1.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
First Author AffilicationInstitute of Psychology, Chinese Academy of Sciences
Recommended Citation
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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