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解析动物研究中的空间策略:以自我中心导航和海马体为重点的关键方法学综述

Dissociating spatial strategies in animal research: Critical methodological review with focus on egocentric navigation and the hippocampus.

作者信息

Johnsen Svend Heini W, Rytter Hana Malá

机构信息

The Unit for Cognitive Neuroscience, Department of Psychology, University of Copenhagen, Oester Farimagsgade 2A, 1353 Copenhagen, Denmark.

The Unit for Cognitive Neuroscience, Department of Psychology, University of Copenhagen, Oester Farimagsgade 2A, 1353 Copenhagen, Denmark; University Hospital Bispebjerg - Frederiksberg, Department of Neurology, Nielsine Nielsens vej 7, 2400 Copenhagen, Denmark; Danish Concussion Center, Amagerfælledvej 56A, 2300 Copenhagen, Denmark.

出版信息

Neurosci Biobehav Rev. 2021 Jul;126:57-78. doi: 10.1016/j.neubiorev.2021.03.022. Epub 2021 Mar 23.

Abstract

One major challenge in animal research on spatial learning and memory pertains to designing methods to dissociate spatial strategies (allocentric vs. egocentric). This is crucial for understanding the underlying cognitive processes and neural circuits that are recruited in navigational tasks. Taking the egocentric reference frames as a starting point, this review argues that in many extensively used spatial paradigms, multiple spatial reference frames are often available to the animals but remain unaccounted for. We discuss the implications this has for the inferences that can be made and propose a decision-algorithm to construct spatial learning paradigms that can reduce the influence of these confounding variables. Furthermore, with these considerations in mind, we review the role of the hippocampus in egocentric navigation forms, i.e. in response learning, egocentric sequential learning and path integration. This choice is based on the controversy surrounding the role of hippocampus in these spatial paradigms. We discuss the possible methodological confounders that may explain the inconclusive results.

摘要

动物空间学习与记忆研究中的一个主要挑战在于设计方法以区分空间策略(以自我为中心与以外界为中心)。这对于理解在导航任务中所涉及的潜在认知过程和神经回路至关重要。以自我为中心的参考框架为出发点,本综述认为,在许多广泛使用的空间范式中,动物通常可利用多个空间参考框架,但这些框架却未被考虑在内。我们讨论了这对可得出的推论的影响,并提出一种决策算法来构建可减少这些混杂变量影响的空间学习范式。此外,考虑到这些因素,我们回顾了海马体在以自我为中心的导航形式中的作用,即在反应学习、以自我为中心的序列学习和路径整合中的作用。这一选择基于围绕海马体在这些空间范式中的作用的争议。我们讨论了可能解释不确定结果的方法学混杂因素。

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