Center for Neuroscience, University of California, Davis, 1544 Newton Court, Davis, CA, USA; Department of Psychology, University of California, Davis, CA, USA; Neuroscience Graduate Group, University of California, Davis, USA.
Neuroimage. 2014 Jan 15;85 Pt 2(0 2):667-77. doi: 10.1016/j.neuroimage.2013.06.049. Epub 2013 Jun 20.
A prominent and replicated finding is the correlation between running speed and increases in low-frequency oscillatory activity in the hippocampal local field potential. A more recent finding concerns low-frequency oscillations that increase in coherence between the hippocampus and neocortical brain areas such as prefrontal cortex during memory-related behaviors (i.e., remembering the correct location to visit). In this review, we tie together movement-related and memory-related low-frequency oscillations in the rodent with similar findings in humans. We argue that although movement-related low-frequency oscillations, in particular, may have slightly different characteristics in humans than rodents, placing important constraints on our thinking about this issue, both phenomena have similar functional foundations. We review four prominent theoretical models that provide partially conflicting accounts of movement-related low-frequency oscillations. We attempt to tie together these theoretical proposals, and existing data in rodents and humans, with memory-related low-frequency oscillations. We propose that movement-related low-frequency oscillations and memory-related low-frequency oscillatory activity, both of which show significant coherence with oscillations in other brain regions, represent different facets of "spectral fingerprints," or different resonant frequencies within the same brain networks underlying different cognitive processes. Together, movement-related and memory-related low-frequency oscillatory coupling may be linked by their distinct contributions to bottom-up, sensorimotor driven processing and top-down, controlled processing characterizing aspects of memory encoding and retrieval.
一个突出且经过反复验证的发现是,在海马体局部场电位中,跑动速度与低频振荡活动的增加之间存在相关性。最近的一个发现涉及到低频振荡,即在与记忆相关的行为(即记住要访问的正确位置)期间,海马体和新皮质脑区(如前额叶皮层)之间的相干性增加。在这篇综述中,我们将啮齿动物的运动相关和记忆相关的低频振荡与人类的类似发现联系起来。我们认为,尽管运动相关的低频振荡,特别是在人类和啮齿动物中可能具有略有不同的特征,但这对我们思考这个问题有重要的限制,这两个现象具有相似的功能基础。我们回顾了四个有影响力的理论模型,这些模型对运动相关的低频振荡提供了部分冲突的解释。我们试图将这些理论建议以及啮齿动物和人类的现有数据与记忆相关的低频振荡联系起来。我们提出,运动相关的低频振荡和记忆相关的低频振荡活动都与其他脑区的振荡具有显著的相干性,它们代表了“频谱指纹”的不同方面,或者是同一脑网络中不同认知过程的不同共振频率。运动相关和记忆相关的低频振荡耦合可能通过它们对自上而下的、受控制的处理和自下而上的、感觉运动驱动的处理的不同贡献而联系在一起,这些处理特征是记忆编码和检索的方面。