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.

中文翻译：

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海马θ频率和幅度的速度调制预测水迷宫学习

海马体中的θ振荡与许多行为相关，其中持续运动的幅度和活力最为显着。许多人认为运动与海马θ的相关性是描述θ对认知过程的贡献的混淆。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，θ-运动关系很重要。在目前的研究中，我们测试了海马θ速度调制的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θ频率与速度缩放的幅度和鲁棒性可以预测水迷宫学习率。使用广义线性模型，我们还证明了速度和水迷宫学习是海马 theta 频率和振幅的最佳预测指标。我们的研究结果表明，运动速度与海马θ频率的相关性可能被积极地用于空间学习。