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本文引用的文献

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Approximate Arithmetic Training Improves Informal Math Performance in Low Achieving Preschoolers.近似算术训练可提高低成就学龄前儿童的非正式数学成绩。
Front Psychol. 2018 May 15;9:606. doi: 10.3389/fpsyg.2018.00606. eCollection 2018.
2
Characterizing the neural coding of symbolic quantities.刻画符号数量的神经编码。
Neuroimage. 2018 Sep;178:503-518. doi: 10.1016/j.neuroimage.2018.05.062. Epub 2018 May 30.
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Is There Really an Evolved Capacity for Number?是否真有一种进化而来的数字能力?
Trends Cogn Sci. 2017 Jun;21(6):409-424. doi: 10.1016/j.tics.2017.03.005.
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The search for the number form area: A functional neuroimaging meta-analysis.数字表征脑区的探寻:一项功能神经影像学的荟萃分析。
Neurosci Biobehav Rev. 2017 Jul;78:145-160. doi: 10.1016/j.neubiorev.2017.04.027. Epub 2017 Apr 30.
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Using cognitive training studies to unravel the mechanisms by which the approximate number system supports symbolic math ability.利用认知训练研究来揭示近似数字系统支持符号数学能力的机制。
Curr Opin Behav Sci. 2016 Aug;10:73-80. doi: 10.1016/j.cobeha.2016.05.002. Epub 2016 May 11.
6
Reason's Enemy Is Not Emotion: Engagement of Cognitive Control Networks Explains Biases in Gain/Loss Framing.理性的敌人并非情感:认知控制网络的参与解释了得失框架中的偏差。
J Neurosci. 2017 Mar 29;37(13):3588-3598. doi: 10.1523/JNEUROSCI.3486-16.2017. Epub 2017 Mar 6.
7
Distinct Neural Signatures for Very Small and Very Large Numerosities.非常小和非常大数量的独特神经特征。
Front Hum Neurosci. 2017 Jan 31;11:21. doi: 10.3389/fnhum.2017.00021. eCollection 2017.
8
Mapping human temporal and parietal neuronal population activity and functional coupling during mathematical cognition.绘制数学认知过程中人类颞叶和顶叶神经元群体活动及功能耦合图谱。
Proc Natl Acad Sci U S A. 2016 Nov 15;113(46):E7277-E7286. doi: 10.1073/pnas.1608434113. Epub 2016 Nov 7.
9
Common and distinct brain regions in both parietal and frontal cortex support symbolic and nonsymbolic number processing in humans: A functional neuroimaging meta-analysis.人类顶叶和额叶皮层中的常见和独特脑区支持符号和非符号数字加工:一项功能神经影像学元分析。
Neuroimage. 2017 Feb 1;146:376-394. doi: 10.1016/j.neuroimage.2016.10.028. Epub 2016 Oct 18.
10
Non-symbolic approximate arithmetic training improves math performance in preschoolers.非符号近似算术训练可提高学龄前儿童的数学成绩。
J Exp Child Psychol. 2016 Dec;152:278-293. doi: 10.1016/j.jecp.2016.07.011. Epub 2016 Sep 2.

非符号和符号两位数加法的共享和独特神经回路。

Shared and distinct neural circuitry for nonsymbolic and symbolic double-digit addition.

机构信息

Psychology Department, University of Pennsylvania, Philadelphia, Pennsylvania.

Center for Cognitive Neuroscience, Duke University, Durham, North Carolina.

出版信息

Hum Brain Mapp. 2019 Mar;40(4):1328-1343. doi: 10.1002/hbm.24452. Epub 2018 Dec 12.

DOI:10.1002/hbm.24452
PMID:30548735
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6865694/
Abstract

Symbolic arithmetic is a complex, uniquely human ability that is acquired through direct instruction. In contrast, the capacity to mentally add and subtract nonsymbolic quantities such as dot arrays emerges without instruction and can be seen in human infants and nonhuman animals. One possibility is that the mental manipulation of nonsymbolic arrays provides a critical scaffold for developing symbolic arithmetic abilities. To explore this hypothesis, we examined whether there is a shared neural basis for nonsymbolic and symbolic double-digit addition. In parallel, we asked whether there are brain regions that are associated with nonsymbolic and symbolic addition independently. First, relative to visually matched control tasks, we found that both nonsymbolic and symbolic addition elicited greater neural signal in the bilateral intraparietal sulcus (IPS), bilateral inferior temporal gyrus, and the right superior parietal lobule. Subsequent representational similarity analyses revealed that the neural similarity between nonsymbolic and symbolic addition was stronger relative to the similarity between each addition condition and its visually matched control task, but only in the bilateral IPS. These findings suggest that the IPS is involved in arithmetic calculation independent of stimulus format.

摘要

符号运算(Symbolic arithmetic)是一种复杂的、人类特有的能力,它是通过直接指导获得的。相比之下,对非符号数量(如点数组)进行心理加和减的能力是无需指导即可获得的,并且在人类婴儿和非人类动物中都可以看到。一种可能性是,对非符号数组的心理操作为发展符号运算能力提供了重要的支撑。为了探究这一假设,我们考察了非符号和符号两位数加法是否具有共同的神经基础。同时,我们还研究了是否存在与非符号和符号加法分别相关的大脑区域。首先,与视觉匹配的控制任务相比,我们发现非符号和符号加法都在双侧顶内沟(IPS)、双侧颞下回和右侧顶上小叶中引起了更大的神经信号。随后的代表性相似性分析表明,非符号和符号加法之间的神经相似性相对于每个加法条件与其视觉匹配控制任务之间的相似性更强,但仅在双侧 IPS 中。这些发现表明,IPS 参与了算术计算,而与刺激格式无关。