Spatial patterns of spontaneous activity
Algorithms and models for extracting salient and reproducible spatial features from the correlation structure of functional MRI images without using a paradigm, such as in resting-state studies
Group model for stable multi-subject ICA on fMRI datasets
We have introduced a multivariate random effects group model to conduct multi-subject ICA with good reproducibility.
ICA-based sparse pattern recovery from fMRI
We formulate ICA as a sparse-recovery problem to give statistical control on the extracted brain maps base on a probabilistic model of the noise based on sole assumption that the interesting latent factors are sparsely-activated.
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