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海马体θ频率和幅度的速度调制预测水迷宫学习。

Speed modulation of hippocampal theta frequency and amplitude predicts water maze learning.

机构信息

Department of Psychology and Brain Health Research Centre, University of Otago, Dunedin, New Zealand.

Zhuhai Municipal Women's and Children's Hospital, Zhuhai, China.

出版信息

Hippocampus. 2021 Feb;31(2):201-212. doi: 10.1002/hipo.23281. Epub 2020 Nov 10.

Abstract

Theta oscillations in the hippocampus have many behavioral correlates, with the magnitude and vigor of ongoing movement being the most salient. Many consider correlates of locomotion with hippocampal theta to be a confound in delineating theta contributions to cognitive processes. Theory and empirical experiments suggest theta-movement relationships are important if spatial navigation is to support higher cognitive processes. In the current study, we tested if variations in speed modulation of hippocampal theta can predict spatial learning rates in the water maze. Using multi-step regression, we find that the magnitude and robustness of hippocampal theta frequency versus speed scaling can predict water maze learning rates. Using a generalized linear model, we also demonstrate that speed and water maze learning are the best predictors of hippocampal theta frequency and amplitude. Our findings suggest movement-speed correlations with hippocampal theta frequency may be actively used in spatial learning.

摘要

海马体中的θ振荡与许多行为相关,其中正在进行的运动的幅度和活力最为明显。许多人认为,与海马体θ相关的运动相关物是区分θ对认知过程贡献的一个混杂因素。理论和实证实验表明,如果空间导航要支持更高的认知过程,那么θ与运动的关系是很重要的。在本研究中,我们测试了海马体θ的速度调制变化是否可以预测水迷宫中的空间学习率。使用多步回归,我们发现海马体θ频率与速度缩放的幅度和稳健性可以预测水迷宫的学习率。使用广义线性模型,我们还证明速度和水迷宫学习是海马体θ频率和幅度的最佳预测因子。我们的研究结果表明,海马体θ频率与运动速度的相关性可能被积极用于空间学习。

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