33 citations · 38 across the 8 of their papers we have counts for
8 papers
From Density to Void: Why Brain Networks Fail to Reveal Complex Higher-Order Structures
Moo K. Chung, Anass B. El-Yaagoubi, Anqi Qiu +1
In brain network analysis using resting-state fMRI, there is growing interest in modeling higher-order interactions beyond simple pairwise connectivity via persistent homology. Des…
Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity
Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao
Traditional Topological Data Analysis (TDA) methods, such as Persistent Homology (PH), rely on distance measures (e.g., cross-correlation, partial correlation, coherence, and parti…
Spectral Topological Data Analysis of Brain Signals
Anass El-Yaagoubi, Shuhao Jiao, Moo K. Chung +1
Topological analyses of brain functional connectivity usually reduce each pair of channels to a single scalar dependence, typically the Pearson correlation, and so cannot resolve t…
Dynamic Topological Data Analysis of Functional Human Brain Networks
Moo K. Chung, Soumya Das, Hernando Ombao
Developing reliable methods to discriminate different transient brain states that change over time is a key neuroscientific challenge in brain imaging studies. Topological data ana…
Modeling and Simulating Dependence in Networks Using Topological Data Analysis
Anass El Yaagoubi Bourakna, Moo K. Chung, Hernando Ombao
Topological data analysis (TDA) approaches are becoming increasingly popular for studying the dependence patterns in multivariate time series data. In particular, various dependenc…
Topological Data Analysis for Multivariate Time Series Data
Anass El Yaagoubi Bourakna, Moo K. Chung, Hernando Ombao
Over the last two decades, topological data analysis (TDA) has emerged as a very powerful data analytic approach which can deal with various data modalities of varying complexities…
Persistent Homological State-Space Estimation of Functional Human Brain Networks at Rest
Moo K. Chung, Shih-Gu Huang, Ian C. Carroll +2
We introduce an innovative, data-driven topological data analysis (TDA) technique for estimating the state spaces of dynamically changing functional human brain networks at rest. O…
Integrated multimodal network approach to PET and MRI based on multidimensional persistent homology
Hyekyoung Lee, Hyejin Kang, Moo K. Chung +3
Finding the underlying relationships among multiple imaging modalities in a coherent fashion is one of challenging problems in the multimodal analysis. In this study, we propose a…