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Related Experiment Video

Updated: Jan 19, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
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Processing of different spatial scales in the human brain.

Michael Peer1,2,3, Yorai Ron1,2, Rotem Monsa1,2

  • 1Department of Medical Neurosciences, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.

Elife
|September 11, 2019
PubMed
Summary

Brain imaging reveals how humans process spatial information across different scales. Neural activity shifts gradually from concrete to abstract representations as environments grow larger, impacting brain regions involved in navigation and cognition.

Keywords:
OPAPPARSCcortical gradientdefault-mode networkhumanneurosciencespatial scale

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Spatial Cognition

Background:

  • Human spatial cognition spans vast scales, yet brain research often focuses on small environments.
  • Understanding how the brain represents large-scale spaces is crucial for a complete model of spatial cognition.

Purpose of the Study:

  • To investigate whether the same brain systems represent and process information across diverse spatial scales.
  • To map the neural correlates of spatial processing from room-sized to continental-sized environments.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to monitor brain activity in human subjects.
  • Participants compared distances between real-world items presented at six distinct spatial scales (room to continent).
  • Analysis focused on cortical activity patterns and their relationship with spatial scale.

Main Results:

  • A gradual progression of cortical activity was observed with increasing spatial scale.
  • Three distinct cortical gradients emerged, extending anteriorly from the parahippocampal place area (PPA), retrosplenial complex (RSC), and occipital place area (OPA).
  • These gradients showed overlap with visual processing areas posteriorly and the default-mode network (DMN) anteriorly, alongside the hippocampus's posterior-anterior axis.

Conclusions:

  • The findings suggest a neural progression from concrete to abstract processing as spatial scale increases.
  • A novel organizational framework for the brain's spatial system is proposed.
  • This framework may extend to conceptual spaces beyond the purely spatial domain.