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Examining gray matter structure associated with academic performance in a large sample of Chinese high school students
Achievement in school is crucial for students to be able to pursue successful careers and lead happy lives in the future. Although many psychological attributes have been found to be associated with academic performance, the neural substrates of academic performance remain largely unknown. Here, we...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429851/ https://www.ncbi.nlm.nih.gov/pubmed/28420876 http://dx.doi.org/10.1038/s41598-017-00677-9 |
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author | Wang, Song Zhou, Ming Chen, Taolin Yang, Xun Chen, Guangxiang Wang, Meiyun Gong, Qiyong |
author_facet | Wang, Song Zhou, Ming Chen, Taolin Yang, Xun Chen, Guangxiang Wang, Meiyun Gong, Qiyong |
author_sort | Wang, Song |
collection | PubMed |
description | Achievement in school is crucial for students to be able to pursue successful careers and lead happy lives in the future. Although many psychological attributes have been found to be associated with academic performance, the neural substrates of academic performance remain largely unknown. Here, we investigated the relationship between brain structure and academic performance in a large sample of high school students via structural magnetic resonance imaging (S-MRI) using voxel-based morphometry (VBM) approach. The whole-brain regression analyses showed that higher academic performance was related to greater regional gray matter density (rGMD) of the left dorsolateral prefrontal cortex (DLPFC), which is considered a neural center at the intersection of cognitive and non-cognitive functions. Furthermore, mediation analyses suggested that general intelligence partially mediated the impact of the left DLPFC density on academic performance. These results persisted even after adjusting for the effect of family socioeconomic status (SES). In short, our findings reveal a potential neuroanatomical marker for academic performance and highlight the role of general intelligence in explaining the relationship between brain structure and academic performance. |
format | Online Article Text |
id | pubmed-5429851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54298512017-05-15 Examining gray matter structure associated with academic performance in a large sample of Chinese high school students Wang, Song Zhou, Ming Chen, Taolin Yang, Xun Chen, Guangxiang Wang, Meiyun Gong, Qiyong Sci Rep Article Achievement in school is crucial for students to be able to pursue successful careers and lead happy lives in the future. Although many psychological attributes have been found to be associated with academic performance, the neural substrates of academic performance remain largely unknown. Here, we investigated the relationship between brain structure and academic performance in a large sample of high school students via structural magnetic resonance imaging (S-MRI) using voxel-based morphometry (VBM) approach. The whole-brain regression analyses showed that higher academic performance was related to greater regional gray matter density (rGMD) of the left dorsolateral prefrontal cortex (DLPFC), which is considered a neural center at the intersection of cognitive and non-cognitive functions. Furthermore, mediation analyses suggested that general intelligence partially mediated the impact of the left DLPFC density on academic performance. These results persisted even after adjusting for the effect of family socioeconomic status (SES). In short, our findings reveal a potential neuroanatomical marker for academic performance and highlight the role of general intelligence in explaining the relationship between brain structure and academic performance. Nature Publishing Group UK 2017-04-18 /pmc/articles/PMC5429851/ /pubmed/28420876 http://dx.doi.org/10.1038/s41598-017-00677-9 Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wang, Song Zhou, Ming Chen, Taolin Yang, Xun Chen, Guangxiang Wang, Meiyun Gong, Qiyong Examining gray matter structure associated with academic performance in a large sample of Chinese high school students |
title | Examining gray matter structure associated with academic performance in a large sample of Chinese high school students |
title_full | Examining gray matter structure associated with academic performance in a large sample of Chinese high school students |
title_fullStr | Examining gray matter structure associated with academic performance in a large sample of Chinese high school students |
title_full_unstemmed | Examining gray matter structure associated with academic performance in a large sample of Chinese high school students |
title_short | Examining gray matter structure associated with academic performance in a large sample of Chinese high school students |
title_sort | examining gray matter structure associated with academic performance in a large sample of chinese high school students |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5429851/ https://www.ncbi.nlm.nih.gov/pubmed/28420876 http://dx.doi.org/10.1038/s41598-017-00677-9 |
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