Partially overlapping spatial environments trigger reinstatement in hippocampus and schema representations in prefrontal cortex
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Department of Psychology, University of ArizonaEvelyn McKnight Brain Institute, University of Arizona
Issue Date
2021
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Nature ResearchCitation
Zheng, L., Gao, Z., McAvan, A. S., Isham, E. A., & Ekstrom, A. D. (2021). Partially overlapping spatial environments trigger reinstatement in hippocampus and schema representations in prefrontal cortex. Nature Communications.Journal
Nature CommunicationsRights
Copyright © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
When we remember a city that we have visited, we retrieve places related to finding our goal but also non-target locations within this environment. Yet, understanding how the human brain implements the neural computations underlying holistic retrieval remains unsolved, particularly for shared aspects of environments. Here, human participants learned and retrieved details from three partially overlapping environments while undergoing high-resolution functional magnetic resonance imaging (fMRI). Our findings show reinstatement of stores even when they are not related to a specific trial probe, providing evidence for holistic environmental retrieval. For stores shared between cities, we find evidence for pattern separation (representational orthogonalization) in hippocampal subfield CA2/3/DG and repulsion in CA1 (differentiation beyond orthogonalization). Additionally, our findings demonstrate that medial prefrontal cortex (mPFC) stores representations of the common spatial structure, termed schema, across environments. Together, our findings suggest how unique and common elements of multiple spatial environments are accessed computationally and neurally. © 2021, The Author(s).Note
Open access journalISSN
2041-1723Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1038/s41467-021-26560-w
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Except where otherwise noted, this item's license is described as Copyright © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License.