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Examining the Triple Code Model in numerical cognition: An fMRI study

机译:研究数字认知中的三重代码模型:一项功能磁共振成像研究

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The Triple Code Model (TCM) of numerical cognition argues for the existence of three representational codes for number: Arabic digits, verbal number words, and analog nonsymbolic magnitude representations, each subserved by functionally dissociated neural substrates. Despite the popularity of the TCM, no study to date has explored all three numerical codes within one fMRI paradigm. We administered three tasks, associated with each of the aforementioned numerical codes, in order to explore the neural correlates of numerosity processing in a sample of adults (N = 46). Independent task–control contrast analyses revealed task-dependent activity in partial support of the model, but also highlight the inherent complexity of a distributed and overlapping fronto-parietal network involved in all numerical codes. The results indicate that the TCM correctly predicts the existence of some functionally dissociated neural substrates, but requires an update that accounts for interactions with attentional processes. Parametric contrasts corresponding to differences in task difficulty revealed specific neural correlates of the distance effect, where closely spaced numbers become more difficult to discriminate than numbers spaced further apart. A conjunction analysis illustrated overlapping neural correlates across all tasks, in line with recent proposals for a fronto-parietal network of number processing. We additionally provide tentative results suggesting the involvement of format-independent numerosity-sensitive retinotopic maps in the early visual stream, extending previous findings of nonsymbolic stimulus selectivity. We discuss the functional roles of the components associated with the model, as well as the purported fronto-parietal network, and offer arguments in favor of revising the TCM.
机译:数字认知的三重代码模型(TCM)提出了三种数字表示代码的存在:阿拉伯数字,语言数字单词和模拟非符号幅度表示,每一个均由功能分离的神经基质提供服务。尽管中医很受欢迎,但迄今为止,还没有任何研究在一个功能磁共振成像范式中探讨所有三个数字代码。我们执行了与上述每个数字代码相关的三个任务,以探讨成人样本(N = 46)中数字处理的神经相关性。独立的任务控制对比分析显示了部分支持模型的任务相关活动,但同时也突出了所有数字代码中涉及的分布式和重叠额顶网络的固有复杂性。结果表明,TCM可以正确预测某些功能分离的神经基质的存在,但需要进行更新以说明与注意过程的相互作用。对应于任务难度差异的参数对比揭示了距离效应的特定神经相关性,其中间距较近的数字比间距较远的数字更难区分。融合分析说明了在所有任务中重叠的神经相关性,这与针对数字处理的额顶网络的最新提议一致。我们还提供了初步的结果,表明在早期视觉流中涉及格式独立的数字敏感的视网膜视位图,从而扩展了以前非符号刺激选择性的发现。我们讨论了与模型相关的组件的功能角色,以及声称的额顶网络,并提供了支持修订中医的论据。

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