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3D spatial coding in the monkey hippocampus

猴子海马体的 3D 空间编码

基本信息

批准号：
22K07320
负责人：
YOUNG MEGAN
金额：
$ 2.66万
依托单位：
University of Toyama
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2022
资助国家：
日本
起止时间：
2022-04-01 至 2025-03-31
项目状态：
未结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K07320/
关键词：
hippocampus primate electrophysiology

项目摘要

Since the discovery of hippocampal place cells by O'Keefe, there have been many studies on the neural basis of spatial cognition in the rodent hippocampus, but knowledge on primate hippocampal place cells is limited. The purpose of this study was to record neuronal activity from the hippocampus of monkeys moving in a 3D environment, and to clarify the relationship between the animal's direction of movement (horizontal and vertical) and place responsiveness. Conventional recording of neuronal activity via signal transmission cables is problematic because it interferes with the movement of monkeys in a 3D environment with complex structures. Previously we trained the monkeys in a 3D environment consisting of horizontal and vertical moving spaces connected in an L-shape, and found the movement of the monkey was restricted at the L-shaped ends, which could make it difficult to analyze neuronal activity. Therefore, this fiscal year we completed a square doughnut-shaped 3D environment. In this fiscal year, we first and trained a rhesus monkey to move in clockwise and counter-clockwise directions in this 3D environment. We also developed an AI-based monkey behavior monitoring system capable of identifying the monkey's position and pose. Then, a cranioplastic head cap was surgically attached to the head of the monkey; evoked potential mapping is currently being conducted to accurately estimate the optimal location for recording neuronal activity.

自从奥基夫发现海马位置细胞以来，关于啮齿动物海马空间认知的神经基础的研究很多，但对灵长类海马位置细胞的了解有限。本研究的目的是记录在 3D 环境中移动的猴子海马体的神经元活动，并阐明动物的运动方向（水平和垂直）与位置反应之间的关系。通过信号传输电缆传统记录神经元活动存在问题，因为它会干扰猴子在结构复杂的 3D 环境中的运动。此前，我们在由 L 形连接的水平和垂直运动空间组成的 3D 环境中训练猴子，发现猴子的运动受到 L 形末端的限制，这可能导致分析神经元活动变得困难。因此，本财年我们完成了一个方形甜甜圈形状的3D环境。在本财年，我们首先训练了一只恒河猴在这个 3D 环境中顺时针和逆时针方向移动。我们还开发了基于人工智能的猴子行为监控系统，能够识别猴子的位置和姿势。然后，通过手术将颅骨塑料头帽固定在猴子的头上；目前正在进行诱发电位绘图，以准确估计记录神经元活动的最佳位置。