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

Biology

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