Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)

<Previous Article In Volume
Next Article In Volume>

Language/Cognition Gene Polymorphism Patterns Potentially Associated with Novel Teaching/Learning Technology Based on Brain-Computer Interface

Authors
Wei Xia1, 3, Yiping Geng2, Shuaiyu Zhang2, Yongdong Xu2, *, Zhizhou Zhang1, *
1BIOX Biotechnology Center, Harbin Institute of Technology, Weihai, 264209, China
2School of Computer Science and Information Technology, Harbin Institute of Technology, Weihai, 264209, China
3School of Languages and Literature, Harbin Institute of Technology, Weihai, 264209, China
*Corresponding author. Email: ydxu@hit.edu.cn
*Corresponding author. Email: zhangzzbiox@hitwh.edu.cn
Corresponding Authors
Yongdong Xu, Zhizhou Zhang
Available Online 14 July 2024.
DOI
10.2991/978-94-6463-447-1_47How to use a DOI?
Keywords
Brain-computer interface; Language gene; Cognition gene; Gene polymorphism; Pattern
Abstract

Brain-computer interfaces seem to be an inevitable direction of human evolution and will naturally be used in the field of education, including the cultivation of special talents and the prevention and treatment of specific brain diseases. Since each person’s brain has individual characteristics, including differences in language and cognitive functions, the theoretical variations in language/cognitive genetic polymorphism patterns among diverse populations are essentially differences in the brain’s inherent molecular hardware. This is crucial for the development of personalized brain-computer interface educational technologies. This study examined the sequence information of 239 language gene polymorphisms and 223 cognitive gene polymorphism loci in 201 whole-genome sequence samples. Through principal component analysis and two other clustering methods, we preliminarily discovered that modern humans contain at least four distinct language-cognition genetic polymorphism patterns. The first three patterns may correspond to only a minority of modern humans, while the last pattern may correspond to the vast majority. Since each pattern likely includes samples from all continents, this suggests that there may be no continent-specific language-cognition genetic polymorphism patterns.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)
Series
Advances in Computer Science Research
Publication Date
14 July 2024
ISBN
978-94-6463-447-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-447-1_47How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Wei Xia
AU  - Yiping Geng
AU  - Shuaiyu Zhang
AU  - Yongdong Xu
AU  - Zhizhou Zhang
PY  - 2024
DA  - 2024/07/14
TI  - Language/Cognition Gene Polymorphism Patterns Potentially Associated with Novel Teaching/Learning Technology Based on Brain-Computer Interface
BT  - Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)
PB  - Atlantis Press
SP  - 455
EP  - 463
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-447-1_47
DO  - 10.2991/978-94-6463-447-1_47
ID  - Xia2024
ER  -