Frontiers Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs
The study of brain network connectivity as a time-varying property began relatively recently and, to date, has remained primarily concerned with capturing a
Modeling and interpreting mesoscale network dynamics
Modeling and interpreting mesoscale network dynamics
dynamic functional network connectivity (dFNC) - List of Frontiers' open access articles
Frontiers Manifold learning for fMRI time-varying functional connectivity
Transient Patterns of Functional Dysconnectivity in Clinical High Risk and Early Illness Schizophrenia Individuals Compared with Healthy Controls
Frontiers Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs
markov modeling - List of Frontiers' open access articles
Results from the comparison between schizophrenics and controls during
Modeling and interpreting mesoscale network dynamics
Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs