74 citations · 162 across the 36 of their papers we have counts for
6 papers · 1 filter
Statistical Model for Dynamically-Changing Correlation Matrices with Application to Brain Connectivity
Shih-Gu Huang, S. Balqis Samdin, Chee-Ming Ting +2
Background: Recent studies have indicated that functional connectivity is dynamic even during rest. A common approach to modeling the dynamic functional connectivity in whole-brain…
Rapid Acceleration of the Permutation Test via Slow Random Walks in the Permutation Group
Moo K. Chung, Yixian Wang, Shih-Gu Huang +1
The permutation test is an often used test procedure in brain imaging. Unfortunately, generating every possible permutation for large-scale brain image datasets such as HCP and ADN…
Harmonic holes as the submodules of brain network and network dissimilarity
Hyekyoung Lee, Moo K. Chung, Hongyoon Choi +4
Persistent homology has been applied to brain network analysis for finding the shape of brain networks across multiple thresholds. In the persistent homology, the shape of networks…
Topological Brain Network Distances
Moo K. Chung, Hyekyoung Lee, Andrey Gritsenko +4
Existing brain network distances are often based on matrix norms. The element-wise differences in the existing matrix norms may fail to capture underlying topological differences.…
Exact Combinatorial Inference for Brain Images
Moo K. Chung, Zhan Luo, Alex D. Leow +3
The permutation test is known as the exact test procedure in statistics. However, often it is not exact in practice and only an approximate method since only a small fraction of ev…
Automatic Identification of Twin Zygosity in Resting-State Functional MRI
Andrey Gritsenko, Martin A. Lindquist, Gregory R. Kirk +1
A key strength of twin studies arises from the fact that there are two types of twins, monozygotic and dizygotic, that share differing amounts of genetic information. Accurate diff…