We show that this model leads to a new algorithm for principled comparison of connectivity coefficients between pairs of regions. We apply this model to ...
We show that this model leads to a new algorithm for principled comparison of connectivity coefficients between pairs of regions. We apply this model to ...
Aug 30, 2010 · We apply this model to comparing separately post-stroke patients to a group of healthy controls. We find neurologically-relevant connection.
We apply this model to comparing separately post-stroke patients to a group of healthy controls. We find neurologically-relevant connection differences and show ...
This work gives a new matrix-variate probabilistic model suitable for inter-subject comparison of functional connectivity matrices on the manifold of ...
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We tested for differences in brain network connectivity between a group of patients with minor ischemic strokes in sub-acute phase (n = 44) and matched ...
We use graphical modelling to extract connectomes, ie graphs of brain connectivity, with statistically well-posed and controled methods.
Varoquaux et al. (2010) introduced Fréchet mean and variation of correlation matrices to detect functional connectivity difference in the post-stroke patients ...
This work describes subject-level brain functional connectivity structure as a multivari-ate Gaussian process and introduces a new strategy to estimate it ...
Varoquaux et al. (2010) introduced Fréchet mean and variation of correlation matrices to detect functional connectivity difference in the post-stroke patients ...