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Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
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A map of the cortical functional network mediating naturalistic navigation
Tianjiao Zhang1,2, Emily X Meschke2, Jack Gallant1,2
1Helen Wills Neuroscience Institute, University of California, Berkeley; Berkeley, CA 94720, USA.
Biorxiv : the Preprint Server for Biology
|December 25, 2025
Summary
Real-world navigation involves perception, planning, and action. This study mapped the brain
Area of Science:
- Neuroscience
- Cognitive Science
Background:
- Real-world navigation integrates perception, planning, and motor actions.
- Prior studies suggest broad cortical involvement but lack detailed characterization of parietal and prefrontal regions.
- Understanding the complete navigation network is crucial for cognitive neuroscience.
Purpose of the Study:
- To map and characterize the full cortical network supporting naturalistic navigation.
- To investigate the functional properties and organization of navigation-related brain regions.
- To provide a unified description of the neural basis of active navigation.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used to record brain activity during a naturalistic navigation task.
- High-dimensional encoding models were fitted using banded ridge regression to analyze 28,134 features.
- Brain activity data was analyzed to identify functionally distinct cortical regions involved in navigation.
Main Results:
- A network of 11 functionally distinct cortical regions supports naturalistic navigation.
- This network includes five prefrontal, three parietal, and three visual cortex regions.
- Encoding model analysis revealed a transformation of perceptual inputs to action outputs across these regions, organized along functional gradients.
Conclusions:
- The study identified a comprehensive cortical network for real-world navigation.
- These 11 regions are organized to process information from perception through decision-making to action.
- The findings offer a unified view of navigation network organization and provide targets for future research.
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