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频移刺激 EEG 的距离效应所证明的共享数值幅度表示。

A shared numerical magnitude representation evidenced by the distance effect in frequency-tagging EEG.

机构信息

Institute of Psychology (IPSY) and Institute of Neuroscience (IoNS), Université Catholique de Louvain, Place Cardinal Mercier 10, 1348, Louvain-la-Neuve, Belgium.

Department of Behavioral and Cognitive Sciences, Faculty of Humanities, Social and Educational Sciences, Institute of Cognitive Science and Assessment, Université du Luxembourg, Esch-sur-Alzette, Luxembourg.

出版信息

Sci Rep. 2022 Aug 26;12(1):14559. doi: 10.1038/s41598-022-18811-7.

Abstract

Humans can effortlessly abstract numerical information from various codes and contexts. However, whether the access to the underlying magnitude information relies on common or distinct brain representations remains highly debated. Here, we recorded electrophysiological responses to periodic variation of numerosity (every five items) occurring in rapid streams of numbers presented at 6 Hz in randomly varying codes-Arabic digits, number words, canonical dot patterns and finger configurations. Results demonstrated that numerical information was abstracted and generalized over the different representation codes by revealing clear discrimination responses (at 1.2 Hz) of the deviant numerosity from the base numerosity, recorded over parieto-occipital electrodes. Crucially, and supporting the claim that discrimination responses reflected magnitude processing, the presentation of a deviant numerosity distant from the base (e.g., base "2" and deviant "8") elicited larger right-hemispheric responses than the presentation of a close deviant numerosity (e.g., base "2" and deviant "3"). This finding nicely represents the neural signature of the distance effect, an interpretation further reinforced by the clear correlation with individuals' behavioral performance in an independent numerical comparison task. Our results therefore provide for the first time unambiguously a reliable and specific neural marker of a magnitude representation that is shared among several numerical codes.

摘要

人类可以毫不费力地从各种代码和上下文中抽象出数字信息。然而,对于基础数量信息的获取是否依赖于共同或独特的大脑表示形式,这仍然存在很大争议。在这里,我们记录了在以 6Hz 随机变化的代码(阿拉伯数字、数字单词、标准点模式和手指配置)中快速呈现的数字流中,数量周期性变化(每五个项目)的电生理反应。结果表明,通过揭示在顶枕电极上记录的对偏离基数数量的清晰辨别反应(在 1.2Hz 处),可以从不同的表示代码中抽象和概括数量信息。至关重要的是,支持辨别反应反映了数量处理的说法,呈现偏离基数较远的偏离数量(例如基数“2”和偏离数量“8”)比呈现接近的偏离数量(例如基数“2”和偏离数量“3”)会引起更大的右半球反应。这一发现很好地代表了距离效应的神经特征,这一解释进一步得到了在独立的数字比较任务中个体行为表现与辨别反应之间清晰相关性的支持。因此,我们的研究结果首次提供了一个明确的、可靠的和特定的数量表示的神经标记,该标记在几种数字代码中是共享的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/819e/9418351/9ee15a114eeb/41598_2022_18811_Fig1_HTML.jpg

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