63.6k citations · 66.4k across the 51 of their papers we have counts for
3 papers · 1 filter
Brain covariance selection: better individual functional connectivity models using population prior
Gaël Varoquaux, Alexandre Gramfort, Jean Baptiste Poline +1
Spontaneous brain activity, as observed in functional neuroimaging, has been shown to display reproducible structure that expresses brain architecture and carries markers of brain…
ICA-based sparse feature recovery from fMRI datasets
Gaël Varoquaux, Merlin Keller, Jean Baptiste Poline +2
Spatial Independent Components Analysis (ICA) is increasingly used in the context of functional Magnetic Resonance Imaging (fMRI) to study cognition and brain pathologies. Salient…
A group model for stable multi-subject ICA on fMRI datasets
G. Varoquaux, S. Sadaghiani, P. Pinel +3
Spatial Independent Component Analysis (ICA) is an increasingly used data-driven method to analyze functional Magnetic Resonance Imaging (fMRI) data. To date, it has been used to e…