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Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains
Keri L Anderson1, Jeffrey S Anderson1, Sourabh Palande1
1University of Utah.
Summary
This study reveals that brain functional connectivity, analyzed via resting-state fMRI, differs between temporal and spatial measures. Topological data analysis shows promise for understanding cognition and personality differences.
Area of Science:
- Neuroscience
- Data Science
- Cognitive Science
Background:
- The brain's functional architecture is a dynamic system with flexible component interactions.
- Physical connections constrain these interactions.
- Functional connectivity, often abstracted by temporal or spatial correlation, is key to understanding brain organization.
Purpose of the Study:
- To analyze resting-state fMRI data from 1003 subjects to understand brain functional connectivity.
- To compare various data preprocessing strategies for analyzing functional connectivity.
- To investigate the relationship between temporal vs. spatial functional connectivity and individual differences in cognition and personality.
Main Methods:
- Analysis of resting-state fMRI data from 1003 subjects.
- Comparison of data preprocessing strategies, including independent component-based nuisance regression and global signal regression.
- Application of topological data analysis, specifically persistent homology, to functional connectivity data.
Main Results:
- Independent component-based nuisance regression demonstrated superior reproducibility compared to other preprocessing strategies.
- Strategies including global signal regression showed the poorest reproducibility.
- Temporal and spatial functional connectivity were found to encode distinct aspects of cognition and personality.
- Persistence barcodes from topological analyses significantly correlated with individual differences in cognition and personality with high reproducibility.
Conclusions:
- Topological data analysis, including time-domain connectivity modeling, offers a promising approach for characterizing high-level cognitive functions, development, and neuropathology.
- Preprocessing choices significantly impact the reproducibility of functional connectivity findings.
- Distinct aspects of cognition and personality are associated with temporal versus spatial functional connectivity patterns.
