A paradigm for longitudinal complex network analysis over patient cohorts in neuroscience. - Heather Shappell; Yorghos Tripodis; Ronald J. Killiany; Eric D. Kolaczyk (Netw. Sci., 2019)

Improved state change estimation in dynamic functional connectivity using hidden semi-Markov models. - Heather Shappell; Brian S. Caffo; James J. Pekar; Martin A. Lindquist (NeuroImage, 2019)

Children with attention-deficit/hyperactivity disorder spend more time in hyperconnected network states and less time in segregated network states as revealed by dynamic connectivity analysis. - Heather Shappell; Kelly A. Duffy; Keri Rosch; James J. Pekar; Stewart H. Mostofsky; Martin A. Lindquist; Jessica R. Cohen (NeuroImage, 2021)

Distinguishing between different percolation regimes in noisy dynamic networks with an application to epileptic seizures. - Xiaojing Zhu; Heather Shappell; Mark A. Kramer; Catherine Jean Chu; Eric D. Kolaczyk (PLoS Comput. Biol., 2023)

Brain Network Analysis: A Review on Multivariate Analytical Methods. - Mohsen Bahrami; Paul J. Laurienti; Heather Shappell; Sean L. Simpson (Brain Connect., 2023)

Accounting for edge uncertainty in stochastic actor-oriented models for dynamic network analysis. - Heather Shappell; Mark A. Kramer; Catherine Jean Chu; Eric D. Kolaczyk (Netw. Sci., 2025)