A0223
Title: Persistent homology based connectome measures for lifespan
Authors: Seonjoo Lee - Columbia University/New York State Psychiatric Institute (United States) [presenting]
Abstract: Persistent homology-based connectome (PHC) measures are developed that are an alternative to standard functional/structural connectivity. The PHC quantifies the pattern of information during the integrated processing. It also investigated whether PHC measures explain cognitive aging compared to traditional graph theory-based and brain system segregation measures. Structural and functional connectivity data and four cognitive abilities (fluid reasoning, episodic memory, vocabulary, and processing speed) are extracted from large life-span cohorts. The results showed the pattern of brain information flow over whole brain regions (i.e., integrated processing) explained more variance in cognitive abilities than other methods. The test-retest reliability of the PH-base connectomes and the association between functional and structure PHCs are also assessed.
