Directed Connectivity Analysis of the Brain Network in Mathematically Gifted Adolescents
Joint Authors
Fan, Hui
Wang, Qingyun
Wei, Mengting
Jiang, Xiang
Guo, Yiyun
Wang, Haixian
Lu, Xuesong
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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 θ-band and γ-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 θ-band and the γ-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 θ-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.
American Psychological Association (APA)
Wei, Mengting& Wang, Qingyun& Jiang, Xiang& Guo, Yiyun& Fan, Hui& Wang, Haixian…[et al.]. 2020. Directed Connectivity Analysis of the Brain Network in Mathematically Gifted Adolescents. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138753
Modern Language Association (MLA)
Wei, Mengting…[et al.]. Directed Connectivity Analysis of the Brain Network in Mathematically Gifted Adolescents. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1138753
American Medical Association (AMA)
Wei, Mengting& Wang, Qingyun& Jiang, Xiang& Guo, Yiyun& Fan, Hui& Wang, Haixian…[et al.]. Directed Connectivity Analysis of the Brain Network in Mathematically Gifted Adolescents. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138753
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138753