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PNAS Plus: Context-dependent spatially periodic activity in the human entorhinal cortex

机译:PNAS Plus:人类内嗅皮层中上下文相关的空间周期性活动

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摘要

The spatially periodic activity of grid cells in the entorhinal cortex (EC) of the rodent, primate, and human provides a coordinate system that, together with the hippocampus, informs an individual of its location relative to the environment and encodes the memory of that location. Among the most defining features of grid-cell activity are the 60° rotational symmetry of grids and preservation of grid scale across environments. Grid cells, however, do display a limited degree of adaptation to environments. It remains unclear if this level of environment invariance generalizes to human grid-cell analogs, where the relative contribution of visual input to the multimodal sensory input of the EC is significantly larger than in rodents. Patients diagnosed with nontractable epilepsy who were implanted with entorhinal cortical electrodes performing virtual navigation tasks to memorized locations enabled us to investigate associations between grid-like patterns and environment. Here, we report that the activity of human entorhinal cortical neurons exhibits adaptive scaling in grid period, grid orientation, and rotational symmetry in close association with changes in environment size, shape, and visual cues, suggesting scale invariance of the frequency, rather than the wavelength, of spatially periodic activity. Our results demonstrate that neurons in the human EC represent space with an enhanced flexibility relative to neurons in rodents because they are endowed with adaptive scalability and context dependency.
机译:啮齿动物,灵长类动物和人类的内脏皮质(EC)中网格细胞的空间周期性活动提供了一个坐标系,该坐标系与海马体一起通知了个体其相对于环境的位置并编码了该位置的记忆。网格单元活动的最主要特征是网格的60°旋转对称性和跨环境的网格规模保持。但是,网格单元确实显示出对环境的有限适应性。目前尚不清楚这种程度的环境不变性是否普遍适用于人类网格细胞类似物,其中视觉输入对EC的多峰感觉输入的相对贡献显着大于啮齿动物。被诊断患有难治性癫痫的患者植入内嗅皮层电极执行虚拟导航任务以记忆位置,这使我们能够研究网格状图案与环境之间的关联。在这里,我们报告人类内脏皮质神经元的活动在网格周期,网格方向和旋转对称性方面显示适应性缩放与环境大小,形状和视觉提示的变化密切相关,表明频率的规模不变,而不是具有空间周期性活动的波长。我们的结果表明,相对于啮齿动物中的神经元而言,人类EC中的神经元代表的空间具有增强的灵活性,因为它们具有自适应的可伸缩性和上下文相关性。

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