Frontiers Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs
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The study of brain network connectivity as a time-varying property began relatively recently and, to date, has remained primarily concerned with capturing a
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Transient Patterns of Functional Dysconnectivity in Clinical High Risk and Early Illness Schizophrenia Individuals Compared with Healthy Controls
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Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs
![](https://www.biorxiv.org/content/biorxiv/early/2021/05/20/2021.05.18.444678/F22.medium.gif)
Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs
![](https://www.researchgate.net/publication/347063885/figure/fig1/AS:11431281180541802@1691628031867/The-cluster-medians-for-each-state-a-c-The-percentage-of-total-occurrences-is-listed.png)
The cluster medians for each state. (a–c) The percentage of total
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Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs
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Frontiers Manifold learning for fMRI time-varying functional connectivity
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Modeling and interpreting mesoscale network dynamics
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dynamic functional network connectivity (dFNC) - List of Frontiers' open access articles
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Modeling and interpreting mesoscale network dynamics
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PDF] The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery
Results from the comparison between schizophrenics and controls during
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Frontiers Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs