28 citations · 30 across the 7 of their papers we have counts for
5 papers · 1 filter
Poisson Flow Model of Cortical Folding Pattern
Moo K. Chung, Luigi Maccotta, Aaron Struck
Cortical folding reflects coordinated neurodevelopmental processes and provides a sensitive marker of neurological disease. In juvenile myoclonic epilepsy (JME), structural abnorma…
Counterfactual Analysis of Brain Network Dynamics
Moo K. Chung, Luigi Maccotta, Aaron Struck
Causal inference in brain networks has traditionally relied on regression-based models such as Granger causality, structural equation modeling, and dynamic causal modeling. While e…
Topological Time Frequency Analysis of Functional Brain Signals
Moo K. Chung, Aaron F. Struck
We present a novel topological framework for analyzing functional brain signals using time-frequency analysis. By integrating persistent homology with time-frequency representation…
Topological Embedding of Human Brain Networks with Applications to Dynamics of Temporal Lobe Epilepsy
Moo K. Chung, Ji Bi Che, Veena A. Nair +7
We introduce a novel, data-driven topological data analysis (TDA) approach for embedding brain networks into a lower-dimensional space in quantifying the dynamics of temporal lobe…
Unified Topological Inference for Brain Networks in Temporal Lobe Epilepsy Using the Wasserstein Distance
Moo K. Chung, Camille Garcia Ramos, Felipe Branco De Paiva +7
Persistent homology offers a powerful tool for extracting hidden topological signals from brain networks. It captures the evolution of topological structures across multiple scales…