Stability-driven Non-negative Matrix Factorization-based Approach for Extracting Dynamic Network from Resting-State EEG

In conclusion, the analyses on simulated and real EEG data demonstrate that staNMF can be used to characterize dynamic functional networks, making it a promising tool for investigating disorders using resting-state EEG.
Source: Neurocomputing - Category: Neuroscience Source Type: research