A critical review of the allocentric spatial representation and its neural underpinnings: toward a network-based perspective.
A critical review of the allocentric spatial representation and its neural underpinnings: toward a network-based perspective.
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DOI：
10.3389/fnhum.2014.00803
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发表时间：
2014
影响因子：
2.9
通讯作者：
Iaria G
中科院分区：
文献类型：
--
作者：
Ekstrom AD;Arnold AE;Iaria G
虽然广泛研究的allocentric空间表征在神经科学研究中占有特殊地位，但其确切性质和神经基础仍然是争论的话题，特别是在人类中。在这里，基于对人类行为研究的回顾，我们认为，allocentric表示不提供那种地图般的，度量表示，人们可能会期望基于过去的理论工作。相反，我们认为，在过去的研究中使用的几乎所有任务都涉及到自我中心和非自我中心的表征的组合，使非自我中心表征的认知基础的调查和识别专门用于它的大脑区域的任务变得复杂。事实上，正如我们详细讨论的那样，过去的研究表明，除了海马体之外，许多大脑区域对非自我中心的空间记忆很重要，包括海马旁、压后和前额皮质。因此，我们认为，虽然allocentric计算往往需要海马体，特别是那些涉及提取的细节在时间上特定的路线，海马体是不必要的allocentric计算。相反，我们认为，一个非聚合网络过程涉及多个相互作用的大脑区域，包括海马和海马外区域，如海马旁，压后，前额叶和顶叶皮质，更好地表征导航过程中的空间表征的神经基础。根据该模型，非自我中心的表示不是从单个大脑区域的计算中出现的（即，海马体）也不容易分解成由单独的脑区域执行的加法计算。相反，一个以非自我为中心的表征出现在许多相互作用的大脑区域部分共享的计算中。我们讨论了我们的非聚集网络模型，根据现有的数据，并提供了几个关键的预测，为未来的实验。
While the widely studied allocentric spatial representation holds a special status in neuroscience research, its exact nature and neural underpinnings continue to be the topic of debate, particularly in humans. Here, based on a review of human behavioral research, we argue that allocentric representations do not provide the kind of map-like, metric representation one might expect based on past theoretical work. Instead, we suggest that almost all tasks used in past studies involve a combination of egocentric and allocentric representation, complicating both the investigation of the cognitive basis of an allocentric representation and the task of identifying a brain region specifically dedicated to it. Indeed, as we discuss in detail, past studies suggest numerous brain regions important to allocentric spatial memory in addition to the hippocampus, including parahippocampal, retrosplenial, and prefrontal cortices. We thus argue that although allocentric computations will often require the hippocampus, particularly those involving extracting details across temporally specific routes, the hippocampus is not necessary for all allocentric computations. We instead suggest that a non-aggregate network process involving multiple interacting brain areas, including hippocampus and extra-hippocampal areas such as parahippocampal, retrosplenial, prefrontal, and parietal cortices, better characterizes the neural basis of spatial representation during navigation. According to this model, an allocentric representation does not emerge from the computations of a single brain region (i.e., hippocampus) nor is it readily decomposable into additive computations performed by separate brain regions. Instead, an allocentric representation emerges from computations partially shared across numerous interacting brain regions. We discuss our non-aggregate network model in light of existing data and provide several key predictions for future experiments.
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影响因子：
19.9
作者：
Bassett, Danielle S.;Gazzaniga, Michael S.
通讯作者：
Gazzaniga, Michael S.
影响因子：
2.7
作者：
Astur, RS;Taylor, LB;Sutherland, RJ
通讯作者：
Sutherland, RJ
影响因子：
3.2
作者：
Arnold, Aiden E. G. F.;Protzner, Andrea B.;Iaria, Giuseppe
通讯作者：
Iaria, Giuseppe
影响因子：
64.8
作者：
Albert, R;Jeong, H;Barabási, AL
通讯作者：
Barabási, AL
影响因子：
2.1
作者：
Bohbot, VD;Jech, R;Bures, J
通讯作者：
Bures, J