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高、低表现者心理加法中的α和θ振荡。

Alpha and theta oscillations in mental addition for high and low performers.

机构信息

Department of Psychology, King Saud University, PO Box 85500, Riyadh, 11691, Saudi Arabia.

出版信息

Cogn Process. 2021 Nov;22(4):609-626. doi: 10.1007/s10339-021-01038-1. Epub 2021 Jun 2.

Abstract

While many contemporary studies aim to explore the sources of notable individual differences in arithmetic skills, this study specifically aims to highlight cognitive differences between high and low math performers. Thirty-six undergraduate female students who were identified as either high or low math performers, according to an arithmetic fluency test, were recruited. In the main experiment, EEG recordings were taken, while the participants performed a mental addition task. The mental addition problems were classified as either easy or difficult, and were presented to participants in several forms. The results indicated that problem difficulty increases the gap in accuracy attainment between high and low math performers. Additionally, high performers displayed larger alpha power during mental arithmetic in P7, corresponding to the left parietal lobe. This indicated that combining behavioral and neural data can improve our understanding of the differences between high and low math performers. Interpretations and implications are discussed.

摘要

虽然许多当代研究旨在探索显著个体差异在算术技能上的来源,但本研究特别旨在强调高数学表现者和低数学表现者之间的认知差异。根据算术流畅性测试,招募了 36 名被确定为高或低数学表现者的本科女性学生。在主要实验中,当参与者执行心算加法任务时,记录了 EEG 记录。心算加法问题被分为简单或困难,并以几种形式呈现给参与者。结果表明,问题难度增加了高数学表现者和低数学表现者在准确性上的差距。此外,高表现者在心算过程中在 P7 显示出更大的α波功率,对应于左顶叶。这表明结合行为和神经数据可以提高我们对高数学表现者和低数学表现者之间差异的理解。讨论了解释和含义。

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