灵长类前额叶皮层空间和形状信息的局部组织。

IF 2.9 2区 医学 Q2 NEUROSCIENCES
Yunyi Sun, Wenhao Dang, Rye G Jaffe, Christos Constantinidis
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引用次数: 0

摘要

目前,人们对感觉和运动皮层区域的认识是通过大脑表面存在的地形图来确定的,然而,高级皮层区域,如前额叶皮层,似乎缺乏类似的组织,只有有限的证据表明具有类似刺激特性的神经元在其中具有功能性聚类。因此,我们试图研究代表相似空间和物体信息的神经元是否聚集在猴子的前额叶皮层中,以及这种组织是否仅在训练后才出现。为此,我们分析了雄性猕猴在空间和形状工作记忆任务训练前后的神经电生理记录。具有相似空间或形状选择性的神经元在短距离内相遇的几率高于偶然相遇的几率。某些方面的组织甚至在天真的动物身上也存在,但在认知训练后出现了其他变化。我们的研究结果表明,前额叶微结构自动支持空间和物体信息的有序表征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Local organization of spatial and shape information in the primate prefrontal cortex.

The current understanding of sensory and motor cortical areas has been defined by the existence of topographical maps across the brain surface, however, higher cortical areas, such as the prefrontal cortex, seem to lack an equivalent organization, and only limited evidence of functional clustering of neurons with similar stimulus properties is evident in them. We thus sought to examine whether neurons that represent similar spatial and object information are clustered in the monkey prefrontal cortex and whether such an organization only emerges as a result of training. To this end, we analyzed neurophysiological recordings from male macaque monkeys before and after training in spatial and shape working memory tasks. Neurons with similar spatial or shape selectivity were more likely than chance to be encountered at short distances from each other. Some aspects of organization were present even in naïve animals, however other changes appeared after cognitive training. Our results reveal that prefrontal microstructure automatically supports orderly representations of spatial and object information.

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来源期刊
Cerebral cortex
Cerebral cortex 医学-神经科学
CiteScore
6.30
自引率
8.10%
发文量
510
审稿时长
2 months
期刊介绍: Cerebral Cortex publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus. Studies with clear relevance to the cerebral cortex, such as the thalamocortical relationship or cortico-subcortical interactions, are also included. The journal is multidisciplinary and covers the large variety of modern neurobiological and neuropsychological techniques, including anatomy, biochemistry, molecular neurobiology, electrophysiology, behavior, artificial intelligence, and theoretical modeling. In addition to research articles, special features such as brief reviews, book reviews, and commentaries are included.
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