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Updated: Oct 1, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Distinct networks coupled with parietal cortex for spatial representations inside and outside the visual field.
Bo Zhang1, Fan Wang2, Qi Zhang3
1School of Psychological and Cognitive Sciences, Peking University, No. 52, Haidian Road, Haidian District, Beijing 100805, China; Beijing Academy of Artificial Intelligence, Beijing, 100084, China; Tsinghua Laboratory of Brain and Intelligence, 160 Chengfu Rd., SanCaiTang Building, Haidian District, Beijing, 100084, China.
This study reveals how the brain maps space around the body. It found distinct neural networks, including the frontoparietal and medial temporal lobe-parietal networks, are involved in spatial memory.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Spatial Cognition
Background:
- Egocentric spatial representation is crucial for navigation and interaction.
- Existing research primarily explored egocentric space within the visual field.
- Neural mechanisms for representing space relative to the body's posterior remain less understood.
Purpose of the Study:
- To investigate the neural underpinnings of egocentric spatial memory for locations around the body.
- To differentiate brain network involvement in representing targets to the sides versus behind the self.
Main Methods:
- Employed a spatial-memory task within a virtual environment.
- Utilized functional Magnetic Resonance Imaging (fMRI) and Magnetoencephalography (MEG) for neural data acquisition.
- Participants recalled target locations situated to their left, right, or back.
Main Results:
- The frontoparietal network showed greater activation for left/right target retrieval compared to posterior targets.
- The medial temporal lobe (MTL)-parietal network was more engaged during the retrieval of targets located behind the participant.
- MEG data indicated earlier activation of the MTL-parietal network than the frontoparietal network.
Conclusions:
- The parietal cortex integrates information from distinct neural networks to represent egocentric space.
- Differential network activation suggests specialized roles in processing spatial information relative to the body.
- Findings highlight the dynamic interplay between frontoparietal and MTL-parietal networks in spatial cognition.
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