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认知复杂性的低维神经结构与内侧丘脑核的活动有关。

The Low-Dimensional Neural Architecture of Cognitive Complexity Is Related to Activity in Medial Thalamic Nuclei.

机构信息

The University of Sydney, Sydney, NSW 2050, Australia.

Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.

出版信息

Neuron. 2019 Dec 4;104(5):849-855.e3. doi: 10.1016/j.neuron.2019.09.002. Epub 2019 Oct 22.

Abstract

Cognitive activity emerges from large-scale neuronal dynamics that are constrained to a low-dimensional manifold. How this low-dimensional manifold scales with cognitive complexity, and which brain regions regulate this process, are not well understood. We addressed this issue by analyzing sub-second high-field fMRI data acquired during performance of a task that systematically varied the complexity of cognitive reasoning. We show that task performance reconfigures the low-dimensional manifold and that deviations from these patterns relate to performance errors. We further demonstrate that individual differences in thalamic activity relate to reconfigurations of the low-dimensional architecture during task engagement.

摘要

认知活动源于受到约束的大规模神经元动力学,这些动力学被限制在一个低维流形上。这个低维流形如何随认知复杂性扩展,以及哪些脑区调节这个过程,目前还不太清楚。我们通过分析在执行一项任务时获取的亚秒级高场 fMRI 数据来解决这个问题,该任务系统地改变了认知推理的复杂性。我们表明,任务表现会重新配置这个低维流形,而这些模式的偏差与表现错误有关。我们进一步证明,在任务参与过程中,丘脑活动的个体差异与低维结构的重新配置有关。

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