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不确定性处理中认知控制网络的超模态机制。

Supramodal Mechanisms of the Cognitive Control Network in Uncertainty Processing.

机构信息

Department of Psychology, Queens College, The City University of New York, Queens, NY 11367, USA.

Department of Psychology, Columbia University in the City of New York, New York, NY 10025, USA.

出版信息

Cereb Cortex. 2020 Nov 3;30(12):6336-6349. doi: 10.1093/cercor/bhaa189.

Abstract

Information processing under conditions of uncertainty requires the involvement of cognitive control. Despite behavioral evidence of the supramodal function (i.e., independent of sensory modality) of cognitive control, the underlying neural mechanism needs to be directly tested. This study used functional magnetic imaging together with visual and auditory perceptual decision-making tasks to examine brain activation as a function of uncertainty in the two stimulus modalities. The results revealed a monotonic increase in activation in the cortical regions of the cognitive control network (CCN) as a function of uncertainty in the visual and auditory modalities. The intrinsic connectivity between the CCN and sensory regions was similar for the visual and auditory modalities. Furthermore, multivariate patterns of activation in the CCN predicted the level of uncertainty within and across stimulus modalities. These findings suggest that the CCN implements cognitive control by processing uncertainty as abstract information independent of stimulus modality.

摘要

在不确定条件下进行信息处理需要认知控制的参与。尽管有行为证据表明认知控制具有超感觉模态功能(即与感觉模态无关),但其潜在的神经机制仍需要直接测试。本研究使用功能磁共振成像以及视觉和听觉感知决策任务,研究了在两种刺激模式下不确定性作为大脑激活的函数。结果表明,随着视觉和听觉模式不确定性的增加,认知控制网络(CCN)的皮质区域的激活呈单调递增。CCN 与感觉区域之间的内在连通性在视觉和听觉模式下是相似的。此外,CCN 中的激活的多元模式可以预测刺激模态内和模态间的不确定性水平。这些发现表明,CCN 通过将不确定性作为独立于刺激模态的抽象信息进行处理来实现认知控制。

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