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Understanding Brain Networks
Dr. Muldoon's group examines the relationship between structure and function in brain networks across multiple spatial and temporal scales. We quantify structure-function interactions through (i) theoretical work developing novel network statistics, (ii) predictions from computational modeling, and (iii) the analysis of experimental data across multiple scales and from multiple modalities. Additionally, we ask how these interactions differ between healthy and pathological conditions, with a specific interest in epilepsy.
Developing Network Statistics
Functional Clustering Algorithm
Small-World Propensity
Linking network topology and physical space
Multilayer networks
Computational Modeling
Multilayer networks
State changes in temporal networks
Large-scale personalized brain network models
Experimental Data Analysis
Neuronal networks: Changes in functional network structure
Epilepsy: ECoG - Brain states and cognitive activation
Epilepsy: Neuronal dynamics and seizure control
Individual differences: DSI/EEG/fMRI - Structure/function relationships
Individual differences in epilepsy: Network evolution
Software development
Epilepsy: Seizure detection
Quantifying community structure
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