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首页> 外文期刊>Journal of Cognitive Neuroscience >Spatiotemporal Neurodynamics Underlying Internally and Externally Driven Temporal Prediction: A High Spatial Resolution ERP Study
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Spatiotemporal Neurodynamics Underlying Internally and Externally Driven Temporal Prediction: A High Spatial Resolution ERP Study

机译:内部和外部驱动的时间预测基础的时空神经动力学:高分辨率ERP研究

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摘要

Temporal prediction (TP) is a flexible and dynamic cognitive ability. Depending on the internal or external nature of information exploited to generate TP, distinct cognitive and brain mechanisms are engaged with the same final goal of reducing uncertainty about the future. In this study, we investigated the specific brain mechanisms involved in internally and externally driven TP. To this end, we employed an experimental paradigm purposely designed to elicit and compare externally and internally driven TP and a combined approach based on the application of a distributed source reconstruction modeling on a high spatial resolution electrophysiological data array. Specific spatiotemporal ERP signatures were identified, with significant modulation of contingent negative variation and frontal late sustained positivity in external and internal TP contexts, respectively. These different electrophysiological patterns were supported by the engagement of distinct neural networks, including a left sensorimotor and a prefrontal circuit for externally and internally driven TP, respectively.
机译:时间预测(TP)是一种灵活而动态的认知能力。根据用于生成TP的信息的内部或外部性质,不同的认知和大脑机制参与的最终目标是减少对未来的不确定性。在这项研究中,我们调查了内部和外部驱动的TP涉及的特定脑机制。为此,我们采用了一种实验模型,该模型专门设计用于引出和比较外部和内部驱动的TP,以及基于在高空间分辨率电生理数据阵列上应用分布式源重构模型的组合方法。确定了特定的时空ERP签名,分别在外部和内部TP环境中显着调节了或有负变化和额叶晚期持续阳性。这些不同的电生理模式由不同的神经网络的参与支持,包括分别用于外部和内部驱动的TP的左感觉运动和前额叶回路。

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