MixfMRI
Mixture fMRI Clustering Analysis
Pierre Lafaye de Micheaux, Jonathan L Marchini, Wei-Chen Chen, Dan Nettleton, Ranjan Maitra
Last update: 4 September 2023
Copyright license: Mozilla Public License, version 2.0
Software version identifier: 0.1-2, 0.1-0, 0.1-1, 0.1-3
Utilizing model-based clustering (unsupervised) for functional magnetic resonance imaging (fMRI) data. The developed methods (Chen and Maitra (2023) <doi:10.1002/hbm.26425>) include 2D and 3D clustering analyses (for p-values with voxel locations) and segmentation analyses (for p-values alone) for fMRI data where p-values indicate significant level of activation responding to stimulate of interesting. The analyses are mainly identifying active voxel/signal associated with normal brain behaviors. Analysis pipelines (R scripts) utilizing this package (see examples in 'inst/workflow/') is also implemented with high performance techniques.
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