A map of the cortical functional network mediating naturalistic navigation

Navigation through the real world requires close coordination of perception, planning, and motor actions. Prior neuroimaging studies that used controlled stimuli and tasks have suggested that navigation-related information is represented broadly across the human cerebral cortex. While three regions in the anterior visual cortex have been well-studied<sup>1</sup>, the extent and functional properties of regions in the parietal and prefrontal cortices are not as well-characterized <sup>2</sup>. To map and characterize the full cortical network that underpins active navigation in the real world, we used functional magnetic resonance imaging to record brain activity from participants performing a naturalistic navigation task. Banded ridge regression was used to fit high-dimensional encoding models for 28,134 features to this data. Results show that naturalistic navigation is supported by a network of 11 functionally distinct cortical regions: five prefrontal and three parietal regions, along with three regions in the visual cortex that had been identified and characterized in previous studies. Analysis of encoding model weights shows that these 11 regions transform perceptual inputs through decision-making processes to produce action outputs, and are organized along distributed cortical functional gradients. These results provide a unified description of the functional properties and organization of the cortical network that mediates naturalistic navigation. We anticipate that these maps will provide rich targets to inform more targeted future studies of human navigation.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2025-12-17
DOI
https://doi.org/10.64898/2025.12.16.694742
Citations
1
Primary Topic
Memory and Neural Mechanisms
Type
article
Field-Weighted Citation Impact
1.43

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article

A map of the cortical functional network mediating naturalistic navigation

Emily Meschke, Jack L. Gallant, Tianjiao Zhang
1 citations
bioRxiv (Cold Spring Harbor Laboratory)
Memory and Neural Mechanisms
1.43
article

A map of the cortical functional network mediating naturalistic navigation

Emily Meschke, Jack L. Gallant, Tianjiao Zhang
article en
1 citations

Abstract

Navigation through the real world requires close coordination of perception, planning, and motor actions. Prior neuroimaging studies that used controlled stimuli and tasks have suggested that navigation-related information is represented broadly across the human cerebral cortex. While three regions in the anterior visual cortex have been well-studied<sup>1</sup>, the extent and functional properties of regions in the parietal and prefrontal cortices are not as well-characterized <sup>2</sup>. To map and characterize the full cortical network that underpins active navigation in the real world, we used functional magnetic resonance imaging to record brain activity from participants performing a naturalistic navigation task. Banded ridge regression was used to fit high-dimensional encoding models for 28,134 features to this data. Results show that naturalistic navigation is supported by a network of 11 functionally distinct cortical regions: five prefrontal and three parietal regions, along with three regions in the visual cortex that had been identified and characterized in previous studies. Analysis of encoding model weights shows that these 11 regions transform perceptual inputs through decision-making processes to produce action outputs, and are organized along distributed cortical functional gradients. These results provide a unified description of the functional properties and organization of the cortical network that mediates naturalistic navigation. We anticipate that these maps will provide rich targets to inform more targeted future studies of human navigation.

bioRxiv (Cold Spring Harbor Laboratory)
University of California, Berkeley (US)
National Science Foundation, Ford Motor Company, National Institutes of Health, Multidisciplinary University Research Initiative, Office of Naval Research
Openalex Percentile: Top 13%
Memory and Neural Mechanisms
1.43
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