Patterns of brain structural connectivity (SC) and functional connectivity (FC) are known to
be related. In SC-FC comparisons, FC has classically been evaluated from correlations …

Component analysis is a powerful tool to identify dominant patterns of interactions in
multivariate datasets. In the context of fMRI data, methods such as principal component …

Whole brain estimation of the haemodynamic response function (HRF) in functional
magnetic resonance imaging (fMRI) is critical to get insight on the global status of the …

This work introduces a novel algorithm for deconvolution of the BOLD signal in multi-echo
fMRI data: Multi-echo Sparse Paradigm Free Mapping (ME-SPFM). Assuming a linear …

Conventionally, analysis of functional MRI (fMRI) data relies on available information about
the experimental paradigm to establish hypothesized models of brain activity. However, this …

Deconvolution of the hemodynamic response is an important step to access short timescales
of brain activity recorded by functional magnetic resonance imaging (fMRI). Albeit …

In this paper, we propose a novel voxel-based method for joint estimation of underlying
activity signal and hemodynamic response function (HRF) in functional magnetic resonance …

Described is a system for explaining how the human brain represents conceptual
knowledge. A semantic model is developed, and a behavioral exam is performed to assess …

Conventionally, analysis of functional MRI (fMRI) data relies on available information about
the experimental paradigm to establish hypothesized models of brain activity. However, this …

We investigate connections between the generalized lasso and the standard lasso problem.
We show by an efficient direct construction, that the generalized lasso problem is reducible …