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

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

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

PDF) Tools of the trade: Estimating time-varying connectivity patterns from fMRI data

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

Modeling and interpreting mesoscale network dynamics

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

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

An evolving graph convolutional network for dynamic functional brain network

PDF) Tracking the Brain State Transition Process of Dynamic Function Connectivity Based on Resting State fMRI

Frontiers Manifold learning for fMRI time-varying functional connectivity

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