- Topological Analysis of Connectome Data
- Project Year:
2022
- REU Student (s):
Iris Horng | University of Pennsylvania PA
- Student 1 Institution:
University of Pennsylvania
- Project Mentor:
Jie Gao
- Project Mentor Area:
Computer Science
- Project Abstract:
Topological Data Analysis is a promising approach for analyzing brain connectome data due to its ability to abstract underlying geometric structures in complex networks. The research presented in this study investigates a proper filtration that can be used to generate meaningful barcodes in order to represent the functional brain network of humans. Filtration using curvature was also used to explore the neural network of C. Elegans. Analysis of barcodes established a pattern among brain networks. Based on these visualizations, it was determined that differences in connectivity can be observed among various connectomes.
