Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.
Department of Neurobiology and Behavior and Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, USA.
Nat Neurosci. 2018 Feb;21(2):163-173. doi: 10.1038/s41593-017-0065-1. Epub 2018 Jan 25.
Pattern separation, the ability to independently represent and store similar experiences, is a crucial facet of episodic memory. Growing evidence suggests that the hippocampus possesses unique circuitry that is computationally capable of resolving mnemonic interference by using pattern separation. In this Review, we discuss recent advances in the understanding of this process and evaluate the caveats and limitations of linking across animal and human studies. We summarize clinical and translational studies using methods that are sensitive to pattern separation impairments, an approach that stems from the fact that the hippocampus is a major site of disruption in many brain disorders. We critically evaluate the assumptions that guide fundamental and translational studies in this area. Finally, we suggest guidelines for future research and offer ways to overcome potential interpretational challenges to increase the utility of pattern separation as a construct that can further understanding of both memory processes and brain disease.
模式分离,即独立表示和存储相似体验的能力,是情景记忆的一个关键方面。越来越多的证据表明,海马体具有独特的回路,能够通过模式分离来计算解决记忆干扰。在这篇综述中,我们讨论了对这一过程的理解的最新进展,并评估了将动物和人类研究联系起来的注意事项和局限性。我们总结了使用对模式分离损伤敏感的方法进行的临床和转化研究,这种方法源于这样一个事实,即海马体是许多大脑疾病中破坏的主要部位。我们批判性地评估了指导该领域基础和转化研究的假设。最后,我们为未来的研究提供了建议,并提出了克服潜在解释性挑战的方法,以提高模式分离作为一种可以进一步理解记忆过程和大脑疾病的结构的效用。