Collaborative denoising of multi-subject fMRI data

We propose a novel collaborative denoising scheme for multi-subject fMRI data. The scheme assumes that subjects experience a common, synchronous stimulus and uses the across-subject shared response structure to jointly denoise each subject´s fMRI response along the spatial or voxel domain. Denoising is accomplished by learning subject-specfic orthonormal bases that yield sparse representations in a common transform domain. We provide empirical results using a real-world, multi-subject fMRI dataset.