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

Transient Patterns of Functional Dysconnectivity in Clinical High Risk and Early Illness Schizophrenia Individuals Compared with Healthy Controls

Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs

Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs

The cluster medians for each state. (a–c) The percentage of total

Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs

Frontiers Manifold learning for fMRI time-varying functional connectivity

Modeling and interpreting mesoscale network dynamics

dynamic functional network connectivity (dFNC) - List of Frontiers' open access articles

Modeling and interpreting mesoscale network dynamics

PDF] The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery

Results from the comparison between schizophrenics and controls during

Frontiers Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs