The Neural Correlates of Exact Calculation in Word and Numerical Formats in Low And High Math Performers: A fNIRS Study

Maria A. Sitnikova, Julia A. Marakshina, Timofey V. Adamovich, Grigory O. Pronin, Rustam G. Asadullaev
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Abstract

The representation format of math problems can manifest dissimilarly in people with varying levels of math performance. The aim of this study was to investigate the neurocognitive underpinnings of two-digit exact calculation tasks in different formats: numerical and word. Fifty-three students were divided into groups with high and low levels of math performance based on their ability to solve math problems. They were asked to calculate addition problems with two-digit numbers and to read math problems that did not require calculations. Brain activation was recorded using functional near-infrared spectroscopy (fNIRS). General linear model (GLM) analysis revealed that reading math problems without calculation led to increased activation in the inferior temporal and fusiform gyri in a group of high-level performers, while a group of low-level performers demonstrated increased activation in Broca’s area and the inferior frontal gyrus in the same experimental condition, as well as during solving arithmetic problems in a word format of the exact calculation task. Analysis after bootstrapping revealed similar activation patterns in both groups. Both domain-specific and domain-general regions of the frontal and parietal brain areas were involved in the calculations. Right and left hemisphere activation was found both in low and high math performers. Comparing experimental conditions with resting state revealed significant activation in Broca’s area in all conditions in a group of high-level performers and in a word format of arithmetic problems in a group of low-level performers. Thus, the observed brain patterns suggest the involvement of complex sentence comprehension, especially in high-performing students. These results could be used in future to improve educational practice for students with varying levels of math competence.
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低数学和高数学执行者中单词和数字格式精确计算的神经相关性:fNIRS研究
数学问题的表征形式在不同数学水平的人身上表现出不同的特征。本研究的目的是研究两位数精确计算任务在不同格式下的神经认知基础:数字和文字。根据解决数学问题的能力,53名学生被分为数学成绩高低两组。他们被要求计算两位数的加法问题,并阅读不需要计算的数学问题。用功能近红外光谱(fNIRS)记录脑活动。一般线性模型(GLM)分析表明,在不计算的情况下阅读数学问题,高水平表现者的下颞回和梭状回激活增加,而低水平表现者在相同的实验条件下,以及在解决精确计算任务的单词格式算术问题时,布洛卡区和额下回激活增加。启动后的分析显示,两组的激活模式相似。大脑额叶和顶叶区域的特定区域和一般区域都参与了计算。在数学表现较差和较好的学生中,右半球和左半球都被激活。将实验条件与静息状态进行比较发现,在所有条件下,高水平表现者的布洛卡区都有显著的激活,而在低水平表现者的算术问题中,布洛卡区有显著的激活。因此,观察到的大脑模式表明复杂句子理解的参与,特别是在表现优异的学生中。这些结果可以在未来用于改善不同数学能力水平学生的教育实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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