The University of Sydney, Sydney, NSW 2050, Australia.
Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.
Neuron. 2019 Dec 4;104(5):849-855.e3. doi: 10.1016/j.neuron.2019.09.002. Epub 2019 Oct 22.
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.
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。
