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神经对非符号数字和视觉形状的适应:一项电生理研究。

Neural adaptation to non-symbolic number and visual shape: an electrophysiological study.

作者信息

Soltész Fruzsina, Szűcs Dénes

机构信息

Centre for Neuroscience in Education, Department of Psychology; University of Cambridge, Cambridge, UK.

Centre for Neuroscience in Education, Department of Psychology; University of Cambridge, Cambridge, UK.

出版信息

Biol Psychol. 2014 Dec;103:203-11. doi: 10.1016/j.biopsycho.2014.09.006. Epub 2014 Sep 23.

Abstract

Several studies assumed that the analysis of numerical information happens in a fast and automatic manner in the human brain. Utilizing the high temporal resolution of electroencephalography (EEG) in a passive oddball adaptation paradigm, we compared event-related brain potentials (ERPs) evoked by unattended shape changes and unattended numerosity changes. We controlled visual stimulus properties in a stringent manner. Unattended changes in shape elicited significant, gradual adaptation effects in the range of early visual components, indicating the fast and automatic processing of shapes. Changes in numerosity did not elicit significant changes in these early ERP components. The lack of early number-specific effects was qualified by a significant interaction between Shape and Number conditions. Number change elicited gradual ERP effects only on late ERP components. We conclude that numerosity is a higher-level property assembled from naturally correlating perceptual cues and hence, it is identified later in the cognitive processing stream.

摘要

多项研究认为,人类大脑以快速且自动的方式对数字信息进行分析。在被动奇偶数适应范式中,利用脑电图(EEG)的高时间分辨率,我们比较了由未被注意的形状变化和未被注意的数量变化所诱发的事件相关脑电位(ERP)。我们严格控制视觉刺激属性。未被注意的形状变化在早期视觉成分范围内引发了显著的、逐渐的适应效应,表明形状能够被快速且自动地处理。数量变化在这些早期ERP成分中未引发显著变化。形状和数量条件之间的显著交互作用使早期缺乏特定于数字的效应得到了限定。数字变化仅在晚期ERP成分上引发了逐渐的ERP效应。我们得出结论,数量是由自然相关的感知线索组合而成的更高层次属性,因此,它在认知处理流程中被识别得较晚。

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