92 citations · 111 across the 7 of their papers we have counts for
7 papers
Fractal geometry predicts dynamic differences in structural and functional connectomes
Anca Radulescu, Eva Kaslik, Alexandru Fikl +3
Understanding the intricate architecture of brain networks and its connection to brain function is essential for deciphering the underlying principles of cognition and disease. Whi…
State-transition dynamics of resting-state functional magnetic resonance imaging data: Model comparison and test-to-retest analysis
Saiful Islam, Pitambar Khanra, Johan Nakuci +3
Electroencephalogram (EEG) microstate analysis entails finding dynamics of quasi-stable and generally recurrent discrete states in multichannel EEG time series data and relating pr…
Reliability of energy landscape analysis of resting-state functional MRI data
Pitambar Khanra, Johan Nakuci, Sarah Muldoon +2
Energy landscape analysis is a data-driven method to analyze multidimensional time series, including functional magnetic resonance imaging (fMRI) data. It has been shown to be a us…
Computing brain networks with complex dynamics
Anca Radulescu, Johan Nakuci, Simone Evans +1
One important question in neuroscience is how global behavior in a brain network emerges from the interplay between network connectivity and the neural dynamics of individual nodes…
Synchronization and clustering in complex quadratic networks
Anca Radulescu, Danae Evans, Amani-Daisa Augustin +3
In continuation of prior work, we investigate ties between a network's connectivity and ensemble dynamics. This relationship is notoriously difficult to approach mathematically in…
Network Clustering Via Kernel-ARMA Modeling and the Grassmannian The Brain-Network Case
Cong Ye, Konstantinos Slavakis, Pratik V. Patil +3
This paper introduces a clustering framework for networks with nodes annotated with time-series data. The framework addresses all types of network-clustering problems: State cluste…
Personalized brain network models for assessing structure-function relationships
Kanika Bansal, Johan Nakuci, Sarah Feldt Muldoon
Many recent efforts in computational modeling of macro-scale brain dynamics have begun to take a data-driven approach by incorporating structural and/or functional information deri…