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Study of EEG characteristics while solving scientific problems with different mental effort
Studying the mental effort in problem-solving is important to the understanding of how the brain allocates cognitive resources to process information. The electroencephalogram is a promising physiological approach to assessing the online mental effort. In this study, we investigate the EEG indicator...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664921/ https://www.ncbi.nlm.nih.gov/pubmed/34893689 http://dx.doi.org/10.1038/s41598-021-03321-9 |
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author | Zhu, Yanmei Wang, Qian Zhang, Li |
author_facet | Zhu, Yanmei Wang, Qian Zhang, Li |
author_sort | Zhu, Yanmei |
collection | PubMed |
description | Studying the mental effort in problem-solving is important to the understanding of how the brain allocates cognitive resources to process information. The electroencephalogram is a promising physiological approach to assessing the online mental effort. In this study, we investigate the EEG indicators of mental effort while solving scientific problems. By manipulating the complexity of the scientific problem, the level of mental effort also changes. With the increase of mental effort, theta synchronization in the frontal region and lower alpha desynchronization in the parietal and occipital regions significantly increase. Also, upper alpha desynchronization demonstrates a widespread enhancement across the whole brain. According to the functional topography of brain activity in the theta and alpha frequency, our results suggest that the mental effort while solving scientific problems is related to working memory, visuospatial processing, semantic processing and magnitude manipulation. This study suggests the reliability of EEG to evaluate the mental effort in an educational context and provides valuable insights into improving the problem-solving abilities of students in educational practice. |
format | Online Article Text |
id | pubmed-8664921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86649212021-12-13 Study of EEG characteristics while solving scientific problems with different mental effort Zhu, Yanmei Wang, Qian Zhang, Li Sci Rep Article Studying the mental effort in problem-solving is important to the understanding of how the brain allocates cognitive resources to process information. The electroencephalogram is a promising physiological approach to assessing the online mental effort. In this study, we investigate the EEG indicators of mental effort while solving scientific problems. By manipulating the complexity of the scientific problem, the level of mental effort also changes. With the increase of mental effort, theta synchronization in the frontal region and lower alpha desynchronization in the parietal and occipital regions significantly increase. Also, upper alpha desynchronization demonstrates a widespread enhancement across the whole brain. According to the functional topography of brain activity in the theta and alpha frequency, our results suggest that the mental effort while solving scientific problems is related to working memory, visuospatial processing, semantic processing and magnitude manipulation. This study suggests the reliability of EEG to evaluate the mental effort in an educational context and provides valuable insights into improving the problem-solving abilities of students in educational practice. Nature Publishing Group UK 2021-12-10 /pmc/articles/PMC8664921/ /pubmed/34893689 http://dx.doi.org/10.1038/s41598-021-03321-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhu, Yanmei Wang, Qian Zhang, Li Study of EEG characteristics while solving scientific problems with different mental effort |
title | Study of EEG characteristics while solving scientific problems with different mental effort |
title_full | Study of EEG characteristics while solving scientific problems with different mental effort |
title_fullStr | Study of EEG characteristics while solving scientific problems with different mental effort |
title_full_unstemmed | Study of EEG characteristics while solving scientific problems with different mental effort |
title_short | Study of EEG characteristics while solving scientific problems with different mental effort |
title_sort | study of eeg characteristics while solving scientific problems with different mental effort |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664921/ https://www.ncbi.nlm.nih.gov/pubmed/34893689 http://dx.doi.org/10.1038/s41598-021-03321-9 |
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