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Causal Cortical Network for Arithmetic Problem-Solving Represents Brain's Planning Rather than Reasoning
Arithmetic problem-solving whose components mainly involve the calculation, planning and reasoning, is an important mathematical skill. To date, the neural mechanism underlying arithmetic problem-solving remains unclear. In this study, a scheme that combined a novel 24 points game paradigm, conditio...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567809/ https://www.ncbi.nlm.nih.gov/pubmed/31223276 http://dx.doi.org/10.7150/ijbs.33400 |
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author | Hu, Zhishan Lam, Keng-Fong Xiang, Yu-Tao Yuan, Zhen |
author_facet | Hu, Zhishan Lam, Keng-Fong Xiang, Yu-Tao Yuan, Zhen |
author_sort | Hu, Zhishan |
collection | PubMed |
description | Arithmetic problem-solving whose components mainly involve the calculation, planning and reasoning, is an important mathematical skill. To date, the neural mechanism underlying arithmetic problem-solving remains unclear. In this study, a scheme that combined a novel 24 points game paradigm, conditional Granger causality analysis, and near-infrared spectroscopy (fNIRS) neuroimaging technique was developed to examine the differences in brain activation and effective connectivity between the calculation, planning, and reasoning. We discovered that the performance of planning was correlated with the activation in frontal cortex, whereas the performance of reasoning showed the relationship with the activation in parietal cortex. In addition, we also discovered that the directional effective connectivity between the anterior frontal and posterior parietal cortex was more closely related to planning rather than reasoning. It is expected that this work will pave a new avenue for an improved understanding of the neural underpinnings underlying arithmetic problem-solving, which also provides a novel indicator to evaluate the efficacy of mathematical education. |
format | Online Article Text |
id | pubmed-6567809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-65678092019-06-20 Causal Cortical Network for Arithmetic Problem-Solving Represents Brain's Planning Rather than Reasoning Hu, Zhishan Lam, Keng-Fong Xiang, Yu-Tao Yuan, Zhen Int J Biol Sci Research Paper Arithmetic problem-solving whose components mainly involve the calculation, planning and reasoning, is an important mathematical skill. To date, the neural mechanism underlying arithmetic problem-solving remains unclear. In this study, a scheme that combined a novel 24 points game paradigm, conditional Granger causality analysis, and near-infrared spectroscopy (fNIRS) neuroimaging technique was developed to examine the differences in brain activation and effective connectivity between the calculation, planning, and reasoning. We discovered that the performance of planning was correlated with the activation in frontal cortex, whereas the performance of reasoning showed the relationship with the activation in parietal cortex. In addition, we also discovered that the directional effective connectivity between the anterior frontal and posterior parietal cortex was more closely related to planning rather than reasoning. It is expected that this work will pave a new avenue for an improved understanding of the neural underpinnings underlying arithmetic problem-solving, which also provides a novel indicator to evaluate the efficacy of mathematical education. Ivyspring International Publisher 2019-05-07 /pmc/articles/PMC6567809/ /pubmed/31223276 http://dx.doi.org/10.7150/ijbs.33400 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Hu, Zhishan Lam, Keng-Fong Xiang, Yu-Tao Yuan, Zhen Causal Cortical Network for Arithmetic Problem-Solving Represents Brain's Planning Rather than Reasoning |
title | Causal Cortical Network for Arithmetic Problem-Solving Represents Brain's Planning Rather than Reasoning |
title_full | Causal Cortical Network for Arithmetic Problem-Solving Represents Brain's Planning Rather than Reasoning |
title_fullStr | Causal Cortical Network for Arithmetic Problem-Solving Represents Brain's Planning Rather than Reasoning |
title_full_unstemmed | Causal Cortical Network for Arithmetic Problem-Solving Represents Brain's Planning Rather than Reasoning |
title_short | Causal Cortical Network for Arithmetic Problem-Solving Represents Brain's Planning Rather than Reasoning |
title_sort | causal cortical network for arithmetic problem-solving represents brain's planning rather than reasoning |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567809/ https://www.ncbi.nlm.nih.gov/pubmed/31223276 http://dx.doi.org/10.7150/ijbs.33400 |
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