Resting-state functional connectivity in neuropsychiatric disorders, Current Opinion in Neurology, vol.24, issue.4, p.424, 2008. ,
DOI : 10.1097/WCO.0b013e328306f2c5
Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients, Brain, vol.133, issue.1, p.161, 2010. ,
DOI : 10.1093/brain/awp313
Development of distinct control networks through segregation and integration, Proceedings of the National Academy of Sciences, vol.104, issue.33, p.13507, 2007. ,
DOI : 10.1073/pnas.0705843104
The anterior insula in autism: Under-connected and under-examined, Neuroscience & Biobehavioral Reviews, vol.33, issue.8, pp.1198-1203, 2009. ,
DOI : 10.1016/j.neubiorev.2009.06.002
An fMRI normative database for connectivity networks using one-class support vector machines, Human Brain Mapping, vol.36, issue.4, p.1068, 2008. ,
DOI : 10.1002/hbm.20569
Altered functional and structural connectivities in patients with MS: A 3-T study, Neurology, vol.69, issue.23, p.2136, 2007. ,
DOI : 10.1212/01.wnl.0000295504.92020.ca
Statistics on the Manifold of Multivariate Normal Distributions: Theory and Application to Diffusion Tensor MRI Processing, Journal of Mathematical Imaging and Vision, vol.12, issue.1, pp.423-444, 2006. ,
DOI : 10.1007/s10851-006-6897-z
A Riemannian Framework for Tensor Computing, International Journal of Computer Vision, vol.6, issue.2, pp.41-66, 2006. ,
DOI : 10.1007/s11263-005-3222-z
URL : https://hal.archives-ouvertes.fr/inria-00070743
A well-conditioned estimator for large-dimensional covariance matrices, Journal of Multivariate Analysis, vol.88, issue.2, pp.365-411, 2004. ,
DOI : 10.1016/S0047-259X(03)00096-4
Riemannian geometry for the statistical analysis of diffusion tensor data, Signal Processing, vol.87, issue.2, pp.250-262, 2007. ,
DOI : 10.1016/j.sigpro.2005.12.018