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Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
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Human navigation network: the intrinsic functional organization and behavioral relevance.
Xiang-Zhen Kong1, Xu Wang2, Yi Pu3,4
1State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, 19 Xinjiekouwai St, Haidian District, Beijing, 100875, China. xiangzhen.kong@outlook.com.
Brain Structure & Function
|June 5, 2016
Summary
The human brain
Area of Science:
- Neuroscience
- Cognitive Science
- Network Science
Background:
- Spatial navigation is essential for survival and relies on distributed brain regions.
- The network organization of human navigation remains poorly understood.
- Understanding the navigation network is key to addressing navigation impairments.
Purpose of the Study:
- To investigate the network properties of human spatial navigation.
- To explore the relationship between navigation network topology and behavioral navigation ability.
- To identify key brain regions within the navigation network.
Main Methods:
- Combined neuroimaging meta-analysis (Neurosynth) with resting-state functional magnetic resonance imaging (fMRI).
- Constructed individual navigation networks using functional connectivity.
- Analyzed network topological properties (small-worldness, modularity, hubs) and correlated them with behavioral data in 190 healthy adults.
Main Results:
- Navigation networks exhibit small-world and modular organization.
- Increased small-worldness and modularity correlate with enhanced navigation abilities.
- The right retrosplenial cortex (RSC) functions as a critical hub, with its betweenness centrality linked to better navigation skills.
Conclusions:
- The human navigation system is organized as a small-world, modular network.
- Network topology, particularly small-worldness and modularity, is behaviorally relevant for navigation.
- The RSC plays a crucial role in modulating the navigation network, impacting human navigation performance.
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