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Updated: Jul 9, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Mapping and comparing fMRI connectivity networks across species
Marco Pagani1,2,3, Daniel Gutierrez-Barragan1, A Elizabeth de Guzman1
1Functional Neuroimaging Laboratory, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy.
Cross-species functional magnetic resonance imaging (fMRI) advances brain connectivity research. Comparing human and animal fMRI data reveals conserved network principles and aids understanding of brain health and disease.
Area of Science:
- Neuroimaging
- Comparative Neuroscience
- Systems Neuroscience
Background:
- Functional magnetic resonance imaging (fMRI) enables mapping of brain functional connectivity with high spatiotemporal resolution.
- There is growing interest in applying fMRI connectivity mapping to rodents and non-human primates.
- This cross-species approach aims to elucidate fMRI connectivity mechanisms and complement human connectome studies.
Purpose of the Study:
- To discuss challenges and opportunities in cross-species fMRI connectivity mapping.
- To emphasize the importance of physiological decoding of neuroimaging measures through multiscale animal studies.
- To highlight general principles of mammalian brain connectivity networks.
Main Methods:
- Review of current technical advances in neuroimaging, particularly fMRI.
- Discussion of multiscale mechanistic investigations in animal models.
- Exploration of emerging approaches for cross-species fMRI data comparison and extrapolation.
Main Results:
- Identification of evolutionarily conserved network systems across mammalian species.
- Observation of a dominant cortical axis in functional connectivity.
- Recognition of a common set of topographically conserved fMRI spatiotemporal modes.
Conclusions:
- Cross-species fMRI provides novel opportunities to investigate large-scale mammalian brain organization.
- Physiological decoding via animal models is critical for interpreting neuroimaging findings.
- Understanding conserved network principles aids research into brain function and dysfunction across species.
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