elssam/dyfunconn

A dynamic functional connectivity module in python.

dyfunconn

A neuroimaging module for dynamic functional connectivity.

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dyfunconn is specifically tailored for functional connectivity, synchrony estimators and graph analysis in the context of Functional Connectivity Microstates (FCμstates) analyzing Time-Varying Functional Connectivity Graphs (TVFCGs). The primary focus in the FCμstates paradigm is twofold; to represent the input time-varying connectivity into a small number-repertoire (data reduction) of features (feature extraction) while preserving the temporal dynamics of the connectivity patterns.

Other sudmodules are introduced for analyzing symbolic timeseries, clustering, statistical analyses, etc.

Built on NumPy, SciPy, matplotlib and networkx (and some other libs ;P)

Workflow outline

Publications

• poster presented @ 13th International Conference for Cognitive Neuroscience in Amsterdam (ICON2017)

Resources

• Installation

• Documenation

• Tutorials

• Examples

Cittation

If you use dyfunconn in a published work, please consider citing.

1.	Marimpis, A. D., & Dimitriadis, S. I. (2017). dyfunconn: dynamic functional connectivity–a neuroimaging Python module. F1000Research, 6. https://doi.org/10.7490/f1000research.1114652.1