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Frequency-based Dissociation of Symbolic and Nonsymbolic Numerical Processing during Numerical Comparison

机译:数值比较过程中符号和非符号数值处理的基于频率的分解

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摘要

Recent evidence suggests that during numerical calculation, symbolic and nonsymbolic processing are functionally distinct operations. Nevertheless, both roughly recruit the same brain areas (spatially overlapping networks in the parietal cortex) and happen at the same time (roughly 250 msec poststimulus onset). We tested the hypothesis that symbolic and nonsymbolic processing are segregated by means of functionally relevant networks in different frequency ranges: high gamma (above 50 Hz) for symbolic processing and lower beta (12-17 Hz) for nonsymbolic processing. EEG signals were quantified as participants compared either symbolic numbers or nonsymbolic quantities. Larger EEG gamma-band power was observed for more difficult symbolic comparisons (ratio of 0.8 between the two numbers) than for easier comparisons (ratio of 0.2) over frontocentral regions. Similarly, beta-band power was larger for more difficult nonsymbolic comparisons than for easier ones over parietal areas. These results confirm the existence of a functional dissociation in EEG oscillatory dynamics during numerical processing that is compatible with the notion of distinct linguistic processing of symbolic numbers and approximation of nonsymbolic numerical information.
机译:最近的证据表明,在数值计算过程中,符号处理和非符号处理是功能上不同的操作。尽管如此,两者都大致招募了相同的大脑区域(顶叶皮层中的空间重叠网络)并在同一时间发生(刺激后发作大约250毫秒)。我们测试了以下假设:符号和非符号处理是通过功能相关的网络在不同频率范围内进行分隔的:针对符号处理的高伽玛(高于50 Hz)和针对非符号处理的较低beta(12-17 Hz)。当参与者比较符号数或非符号量时,对脑电信号进行量化。观察到更大的EEG伽马波段功率,比在额中央区域进行更困难的符号比较(两个数字之间的比率为0.8)比进行更容易的符号比较(0.2之间的比率)更重要。同样,对于较困难的非符号比较而言,β波段功率要比在顶区域更容易。这些结果证实了在数字处理期间脑电图振荡动力学中存在功能解离,这与符号数的独特语言处理和非符号数字信息的近似的概念兼容。

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    《Journal of Cognitive Neuroscience》 |2020年第5期|762-782|共21页
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    Univ Haifa Haifa Israel;

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