LFPs network of hippocampal-prefrontal circuit during working memory task

Tiaotiao Liu, X. Tian
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Abstract

Working memory (WM) provides temporary information storage for performance of cognitive tasks. Neural signals in hippocampus-prefrontal cortex (HPC-PFC) circuit interact and construct a network. The question raised here is how the neural signals connect and transfer in the HPC-PFC network to perform a WM task? In this study, 32-channel local field potentials (LFPs) were recorded with two electrode arrays respectively implanted in HPC and PFC during a rat Y-maze working memory task. The principle frequency band of LFPs during the task was theta, determined via short-time Fourier transform. Functional connectivity strength was further calculated quantitatively and a causal network was defined by directed transfer function (DTF). The information transfer in the network was described by information flow. The results show that (1)the DTF curve peaked before the choice point. (2) The information flow in working memory was from HPC to PFC. These findings suggest that the functional connectivity strengthens at WM state and HPC is the WM information source in the HPC- PFC network.
工作记忆任务中海马-前额叶回路的lfp网络
工作记忆(WM)为认知任务的执行提供临时的信息存储。海马-前额叶皮层(HPC-PFC)回路中的神经信号相互作用并形成网络。这里提出的问题是神经信号如何在HPC-PFC网络中连接和传输以执行WM任务?本研究在大鼠y迷宫工作记忆任务中,分别在HPC和PFC植入两个电极阵列,记录32通道局部场电位(LFPs)。通过短时傅里叶变换确定LFPs在任务期间的主频带为θ。进一步定量计算功能连通性强度,并通过有向传递函数(DTF)定义因果网络。用信息流来描述网络中的信息传递。结果表明:(1)DTF曲线在选择点前达到峰值。(2)工作记忆中的信息流由HPC向PFC流动,说明在WM状态下功能连通性增强,HPC是HPC- PFC网络中WM信息源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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