Wellcome Centre for Integrative Neuroimaging

A global optimisation method for robust affine registration of brain images

Investigations into resting-state connectivity using independent component analysis

Inferring resting-state connectivity patterns from functional magnetic resonance imaging (fMRI) data is a challenging task for any analytical technique. In this paper, we review...

Toward discovery science of human brain function

Although it is being successfully implemented for exploration of the genome, discovery science has eluded the functional neuroimaging community. The core challenge remains the d...

Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data

Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging

We present an integrated approach to probabilistic independent component analysis (ICA) for functional MRI (FMRI) data that allows for nonsquare mixing in the presence of Gaussi...

Tensorial extensions of independent component analysis for multisubject FMRI analysis

MRI criteria for multiple sclerosis in patients presenting with clinically isolated syndromes: a multicentre retrospective study