The Low-Dimensional Neural Architecture of Cognitive Complexity Is Related to Activity in Medial Thalamic Nuclei
The Low-Dimensional Neural Architecture of Cognitive Complexity Is Related to Activity in Medial Thalamic Nuclei
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DOI：
10.1016/j.neuron.2019.09.002
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发表时间：
2019-12-04
期刊：
影响因子：
16.2
通讯作者：
Cocchi, Luca
中科院分区：
文献类型：
--
作者：
Shine, James M.;Hearne, Luke J.;Cocchi, Luca
认知活动产生于受限于低维流形的大规模神经元动力学。这种低维流形是如何与认知复杂性相匹配的，以及大脑的哪些区域调节了这一过程，目前还没有得到很好的理解。我们通过分析在系统地改变认知推理复杂性的任务执行过程中获得的亚秒高场fMRI数据来解决这个问题。我们展示了任务性能重新配置低维流形，并且偏离这些模式与性能错误有关。我们进一步证明，丘脑活动的个体差异与任务参与期间低维结构的重新配置有关。
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.