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Hippocampal size predicts rapid learning of a cognitive map in humans
Open accessAbstract
The idea that humans use flexible map‐like representations of their environment to guide spatial navigation has a long and controversial history. One reason for this enduring controversy might be that individuals vary considerably in their ability to form and utilize cognitive maps. Here we investigate the behavioral and neuroanatomical signatures of these individual differences. Participants learned an unfamiliar campus environment over a period of three weeks. In their first visit, they learned the position of different buildings along two routes in separate areas of the campus. During the following weeks, they learned these routes for a second and third time, along with two paths that connected both areas of the campus. Behavioral assessments after each learning session indicated that subjects formed a coherent representation of the spatial structure of the entire campus after learning a single connecting path. Volumetric analyses of structural MRI data and voxel‐based morphometry (VBM) indicated that the size of the right posterior hippocampus predicted the ability to use this spatial knowledge to make inferences about the relative positions of different buildings on the campus. An inverse relationship between gray matter volume and performance was observed in the caudate. These results suggest that (i) humans can rapidly acquire cognitive maps of large‐scale environments and (ii) individual differences in hippocampal anatomy may provide the neuroanatomical substrate for individual differences in the ability to learn and flexibly use these cognitive maps. © 2013 Wiley Periodicals, Inc.
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Metadata
- Authors
- Schinazi, V. R., Nardi, D., Newcombe, N. S., Shipley, T. F., & Epstein, R. A.
- Affiliations
- University of Pennsylvania (US)
- Temple University (US)
- Corresponding author
- Schinazi, Victor R.
- Venue
- Hippocampus
- Publisher
- Wiley
- Published
- 2013-03-18
- Volume
- 23
- Issue
- 6
- Pages
- 515-528
- ISSN
- 1050-9631 (ISSN-L)
- 1098-1063
- PMC
- PMC3690629
- OpenAlex
- W2161175542
- Cited by
- 231
- References
- 73
- Citations by year
- 2026: 10 · 2025: 16 · 2024: 16 · 2023: 21 · 2022: 13 · 2021: 12 · 2020: 51 · 2019: 16 · 2018: 16 · 2017: 27 · 2016: 10 · 2015: 12 · 2014: 6 · 2013: 4
- FWCI
- 16.60
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Hippocampus (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Eye Institute (EY016464, R01EY016464)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Spatial Cognition and Navigation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Social Sciences › Geography, Planning and Development › Geography Education and Pedagogy
- Keywords
- cognitive maps, spatial navigation, hippocampal volume, individual differences, caudate nucleus, gray matter volume, route learning, large-scale environments, spatial memory
- MeSH terms
- Adult, Brain Mapping, Cognition, Female, Forecasting, Hippocampus, Humans, Learning, Male, Organ Size, Orientation, Spatial Behavior, Time Factors, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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