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Updated: Aug 16, 2025
05:55
Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
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Functional Connectome of the Human Brain with Total Correlation
Qiang Li1, Greg Ver Steeg2, Shujian Yu3
1Image Processing Laboratory, University of Valencia, 46980 Valencia, Spain.
Entropy (Basel, Switzerland)
|December 23, 2022
Summary
This study introduces Total Correlation for mapping brain connectivity, offering a novel multivariate approach beyond traditional methods. This new network analysis shows promise for identifying brain alterations and aiding in disease discovery.
Area of Science:
- Neuroscience
- Network Science
- Biomarker Discovery
Background:
- Conventional brain connectivity analysis relies on pairwise measures like correlation or mutual information.
- Total Correlation offers a multivariate approach to capture complex functional connectivity among brain regions.
Purpose of the Study:
- To infer a large-scale, whole-brain connectivity network using Total Correlation.
- To validate this network as a potential biomarker for brain alterations.
- To explore its utility in discovering brain diseases.
Main Methods:
- Utilized Correlation Explanation (CorEx) to estimate Total Correlation.
- Validated CorEx estimates against ground truth values for Total Correlation and clustering.
- Inferred large-scale connectivity networks from open fMRI datasets.
Main Results:
- CorEx-based Total Correlation and clustering estimates were found to be trustworthy.
- The inferred whole-brain network aligns with existing neuroscience findings.
- The method identified additional relationships beyond pairwise brain region interactions.
- Connectivity graphs derived from Total Correlation demonstrated effectiveness in aiding disease discovery.
Conclusions:
- Total Correlation provides a robust, multivariate method for whole-brain network inference.
- These networks serve as promising biomarkers for detecting brain alterations.
- The approach enhances the discovery of neurological diseases through advanced connectivity analysis.
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