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Activity Number:
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74
- Invited E-Poster Session I
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Type:
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Invited
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Date/Time:
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Sunday, August 7, 2022 : 8:30 PM to 9:25 PM
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Sponsor:
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Korean International Statistical Society
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Abstract #323281
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Title:
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Functional Connectivity of Backbone Structure of Brain Organization in Cognitive Aging Using Weight Sets of Persistent Homology
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Author(s):
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Hyunnam Ryu* and Christian Habeck and Yaakov Stern and seonjoo lee
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Companies:
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Columbia University and Columbia University Medical Center and Columbia University Medical Center and columbia university/NYSPI
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Keywords:
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Resting-state fMRI;
Cognitive aging;
Functional connectivity;
Topological data analysis;
Persistent homology;
Minimum spanning tree
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Abstract:
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Graph theory-based network analysis is widely used to explore the topology of complex brain networks. However, results of statistical analysis with graph theory-based network topology calculated from binary networks are sensitive to threshold selection. Analysis using persistent homology not only addresses threshold selection problems but also captures topological features that could be overlooked in the network data analysis. Here, we proposed new methods to quantify the edge weight distribution of cycles added to the minimum spanning tree (MST) using the persistent homology (PH) method. We investigated the effect of weight distribution of the brain’s backbone structure and its additional cycle structure on individual aging and cognitive ability. Additionally, we compared the amount of explanation cognitive ability of the PH-based method with measures describing brain organization (network topology and MST) and brain functional connectivity.
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Authors who are presenting talks have a * after their name.
