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Hippocampal and prefrontal processing of network topology to simulate the future

Author

Listed:
  • Amir-Homayoun Javadi

    (School of Psychology, University of Kent)

  • Beatrix Emo

    (Chair of Cognitive Science
    Bartlett School of Architecture and Design, University College London)

  • Lorelei R. Howard

    (Aging and Cognition Research Group, German Center for Neurodegenerative Diseases (DZNE))

  • Fiona E. Zisch

    (UCL Institute of Behavioural Neuroscience, University College London
    Bartlett School of Architecture and Design, University College London)

  • Yichao Yu

    (UCL Centre for Advanced Biomedical Imaging, University College London)

  • Rebecca Knight

    (School of Psychology, University of Hertfordshire)

  • Joao Pinelo Silva

    (University of Bahrain 840)

  • Hugo J. Spiers

    (UCL Institute of Behavioural Neuroscience, University College London)

Abstract

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.

Suggested Citation

  • Amir-Homayoun Javadi & Beatrix Emo & Lorelei R. Howard & Fiona E. Zisch & Yichao Yu & Rebecca Knight & Joao Pinelo Silva & Hugo J. Spiers, 2017. "Hippocampal and prefrontal processing of network topology to simulate the future," Nature Communications, Nature, vol. 8(1), pages 1-11, April.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms14652
    DOI: 10.1038/ncomms14652
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    Cited by:

    1. Susanne Ulrich & Eva Grill & Virginia L Flanagin, 2019. "Who gets lost and why: A representative cross-sectional survey on sociodemographic and vestibular determinants of wayfinding strategies," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-16, January.
    2. Benhamou, Salima, 2022. "Les transformations du travail et de l’emploi à l’ère de l’Intelligence artificielle: Évaluation, illustrations et interrogations," Documentos de Proyectos 48529, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).

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