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Updated: Sep 26, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Toward an integrative neurovascular framework for studying brain networks
Jérémie Guilbert1,2, Antoine Légaré1,3,4, Paul De Koninck3,4
1Université Laval, Department of Physics, Physical Engineering, and Optics, Québec, Canada.
Blood oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) reveals brain functional networks. This study explores the interplay between vascular and neuronal systems in BOLD signals, viewing the vascular network as functionally relevant.
Area of Science:
- Neuroimaging
- Systems Neuroscience
- Biophysics
Background:
- Blood oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) is a key tool for mapping human brain functional connectivity.
- Recent studies question the neuronal basis of resting-state networks, suggesting vascular or physiological signals can replicate them.
- Understanding the origin of BOLD signals is crucial for accurate brain network interpretation.
Purpose of the Study:
- To investigate the interaction between vascular and neuronal systems in generating BOLD fMRI signals.
- To re-evaluate the role of the vascular network in brain functional connectivity.
- To integrate vascular information into models of functional connectivity.
Main Methods:
- Review of brain network analysis concepts.
- Exploration of vascular-neuronal system interactions in BOLD fMRI.
- Multiscale and multimodal optical imaging in mice.
- Computational modeling integrating vascular data.
Main Results:
- BOLD fMRI signals reflect an interplay between neuronal activity and vascular dynamics.
- The brain's vascular network is not merely a confounder but a functionally relevant system.
- Functional connectivity patterns are influenced by the entanglement of vascular and neuronal networks.
Conclusions:
- The vascular system plays a significant, integrated role in BOLD-based functional connectivity.
- A comprehensive understanding of brain networks requires considering both neuronal and vascular contributions.
- Multimodal imaging and computational modeling offer powerful approaches to disentangle these contributions.
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