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Updated: Jun 14, 2025
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Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
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The morphospace of the brain-cognition organisation.
Valentina Pacella1,2,3, Victor Nozais4,5, Lia Talozzi4,5,6
1IUSS Cognitive Neuroscience (ICON) Center, Scuola Universitaria Superiore IUSS, Pavia, Italy. valentina.pacella.90@gmail.com.
Nature Communications
|September 30, 2024
Summary
Researchers mapped brain functions using a novel 3D space, revealing their organization and predictability. This brain-cognition framework aids in understanding human cognition and predicting brain activity for new functions.
Area of Science:
- Neuroscience
- Cognitive Science
- Neuroimaging
Background:
- Functional neuroimaging studies over 30 years show brain structure-function interplay.
- Understanding the overlap, independence, granularity, and gaps between cognitive functions remains a challenge.
Purpose of the Study:
- To reveal the latent organizational structure of current brain-cognition knowledge.
- To develop a framework for statistically analyzing and predicting relationships between brain functions.
Main Methods:
- Utilized the comprehensive Neurosynth meta-analytic fMRI database.
- Computed a 3D embedding space (morphospace) to map relationships between brain functions.
- Developed a predictability index to quantify functional relationships.
Main Results:
- The morphospace captures the current organization of brain-cognition knowledge.
- Statistical analysis revealed the predictability of functional maps based on their similarities.
- The model successfully predicted activation patterns for novel functions and decoded inner states during movie watching.
Conclusions:
- The developed morphospace provides a novel framework for understanding human cognition.
- This approach can guide the investigation of new cognitive functions and brain activity.
- The findings offer a new perspective on the fabric of human cognition.
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