Hippocampal and prefrontal processing of network topology to simulate the future
Open accessAbstract
Topological networks lie at the heart of our cities and social milieu. However, it remains unclear how and when the brain processes topological structures to guide future behaviour during everyday life. Using fMRI in humans and a simulation of London (UK), here we show that, specifically when new streets are entered during navigation of the city, right posterior hippocampal activity indexes the change in the number of local topological connections available for future travel and right anterior hippocampal activity reflects global properties of the street entered. When forced detours require re-planning of the route to the goal, bilateral inferior lateral prefrontal activity scales with the planning demands of a breadth-first search of future paths. These results help shape models of how hippocampal and prefrontal regions support navigation, planning and future simulation.
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fMRI data from participants navigating city streets presented in film footage contrasts with the posterior HPC abstraction finding.
“This contrasts with fMRI data from participants navigating city streets presented in film footage 158 .”
From From cognitive maps to spatial schemas (2023) · cites this paper as [158]
In participants navigating city streets presented in film footage, the anterior HPC provided a more global code (tracking global street connections), while the posterior HPC provided a more local code (tracking local street connections).
“In this context, the anterior HPC provided a more global code (tracking global street connections), while the posterior HPC provided a more local code (tracking local street connections) 158 .”
From From cognitive maps to spatial schemas (2023) · cites this paper as [158]
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- Authors
- Javadi, A.-H., Emo, B., Howard, L. R., Zisch, F. E., Yu, Y., Knight, R., Pinelo Silva, J., & Spiers, H. J.
- Affiliations
- University of Kent (GB)
- ETH Zurich (CH)
- German Center for Neurodegenerative Diseases (DE)
- University College London (GB)
- University of Hertfordshire (GB)
- Corresponding author
- Spiers, Hugo J.
- ORCID
- Venue
- Nature Communications
- Published
- 2017-03-21
- Volume
- 8
- Issue
- 1
- Pages
- 14652-14652
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC5364395
- OpenAlex
- W2603127499
- Cited by
- 207
- References
- 53
- Citations by year
- 2026: 17 · 2025: 23 · 2024: 17 · 2023: 21 · 2022: 31 · 2021: 24 · 2020: 27 · 2019: 18 · 2018: 17 · 2017: 12
- FWCI
- 11.62
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Kent Academic Repository (University of Kent) (acceptedVersion)
- University of Hertfordshire Research Archive (University of Hertfordshire) (acceptedVersion)
- University of Hertfordshire Research Archive (University of Hertfordshire) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- DZNE Pub (submittedVersion, cc-by)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by)
- ETH Zürich Research Collection (cc-by)
- Funders
- James S. McDonnell Foundation
- Wellcome Trust (094850/Z/10/Z, 094850)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
- Physical Sciences › Engineering › Building and Construction › Urban Design and Spatial Analysis
- Keywords
- hippocampus, prefrontal cortex, network topology, urban navigation, route planning, future simulation, street networks, breadth-first search, spatial cognition
- MeSH terms
- Adult, Brain, Female, Hippocampus, Humans, London, Magnetic Resonance Imaging, Male, Spatial Behavior, Prefrontal Cortex, Young Adult, Functional Neuroimaging, Spatial Navigation, Spatial Processing
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