Suppr超能文献

灵长类颞叶皮层认知操作引起的区域间记忆信号的动态层状重路由。

Dynamic laminar rerouting of inter-areal mnemonic signal by cognitive operations in primate temporal cortex.

机构信息

Department of Physiology, The University of Tokyo School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.

Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.

出版信息

Nat Commun. 2018 Nov 6;9(1):4629. doi: 10.1038/s41467-018-07007-1.

Abstract

Execution of cognitive functions is orchestrated by a brain-wide network comprising multiple regions. However, it remains elusive whether the cortical laminar pattern of inter-areal interactions exhibits dynamic routings, depending on cognitive operations. We address this issue by simultaneously recording neuronal activities from area 36 and area TE of the temporal cortex while monkeys performed a visual cued-recall task. We identify dynamic laminar routing of the inter-areal interaction: during visual processing of a presented cue, spiking activities of area 36 neurons are preferentially coherent with local field potentials at the supragranular layer of area TE, while the signal from the same neurons switches to target the infragranular layer of area TE during memory retrieval. This layer-dependent signal represents the to-be-recalled object, and has an impact on the local processing at the supragranular layer in both cognitive operations. Thus, cortical layers form a key structural basis for dynamic switching of cognitive operations.

摘要

执行认知功能是由一个包含多个区域的全脑网络协调的。然而,皮质层间相互作用的层状模式是否根据认知操作表现出动态路由,仍然难以捉摸。我们通过在猴子执行视觉提示回忆任务时同时记录来自颞叶皮质的 36 区和 TE 区的神经元活动来解决这个问题。我们确定了层间相互作用的动态层状路由:在呈现提示的视觉处理过程中,36 区神经元的尖峰活动优先与 TE 区的颗粒上层的局部场电位相干,而来自同一神经元的信号在记忆检索期间切换到目标 TE 区的颗粒下层。这种依赖于层的信号代表要回忆的对象,并在两个认知操作中对颗粒上层的局部处理产生影响。因此,皮质层为认知操作的动态切换形成了关键的结构基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/919f/6219507/ddfa19cb982c/41467_2018_7007_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验