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URL: http://www.nitrc.org/projects/cluster_roi/
Proper Citation: Spatially Constrained Parcellation (RRID:SCR_002198)
Description: A set of tools for deriving region of interest (ROI) atlases by whole brain clustering of task or resting state data. This resource also contains several atlases derived by parcellating publicly available resting state fMRI datasets. The initial release will include python scripts and ROI atlases developed to perform the analyses described in Craddock et. al., A whole brain fMRI atlas generated via spatially constrained spectral clustering, which is currently in revision in Human Brain Mapping. The scripts provide all of the tools necessary to derive an ROI atlases using spatially constrained Ncut spectral clustering. The scripts require python, numpy and scipy to run. Source code and parcellations now available! Go to http://ccraddock.github.io/cluster_roi/ for more information.
Abbreviations: Spatially Constrained Parcellation
Resource Type: software resource, data or information resource, atlas
Keywords: magnetic resonance
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