Affiliation: INRIA Sophia Antipolis
- Sparse DSI: learning DSI structure for denoising and fast imagingAlexandre Gramfort
Parietal team, INRIA Saclay Île de France, Saclay, France
Med Image Comput Comput Assist Interv 15:288-96. 2012..The observation holds even if the diffusion profiles are estimated on a different subject dataset from an undersampled q-space of 40 measurements...
- Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methodsAlexandre Gramfort
Parietal project team, INRIA Saclay Île de France, France
Phys Med Biol 57:1937-61. 2012..Furthermore, thanks to the convexity of the optimization problem, we can provide optimality conditions that guarantee global convergence. The utility of the methods is demonstrated both with simulations and experimental MEG data...
- Forward field computation with OpenMEEGAlexandre Gramfort
Parietal project team, INRIA Saclay Île de France, NeuroSpin CEA, Gif Yvette, France
Comput Intell Neurosci 2011:923703. 2011..OpenMEEG is open source and multiplatform. It can be used from Python and Matlab in conjunction with toolboxes that solve the inverse problem; its integration within FieldTrip is operational since release 2.0...
- Tracking cortical activity from M/EEG using graph cuts with spatiotemporal constraintsAlexandre Gramfort
Parietal project team, INRIA Saclay Île de France, Orsay, France
Neuroimage 54:1930-41. 2011..Results of the method are provided on two MEG cognitive experiments in the visual and somatosensory cortices, demonstrating the ability of the algorithm to handle various types of data...
- OpenMEEG: opensource software for quasistatic bioelectromagneticsAlexandre Gramfort
Athena project team, Inria Sophia Antipolis Méditerranée, France
Biomed Eng Online 9:45. 2010..The aim of this paper is to present OpenMEEG, both from the theoretical and the practical point of view, and to compare its performances with other competing software packages...
- Graph-based variability estimation in single-trial event-related neural responsesAlexandre Gramfort
Odyssee Project Team, Institut National de Recherche en Informatique et en Automatique, Sophia Antipolis 06902, France
IEEE Trans Biomed Eng 57:1051-61. 2010..Details and validation of this second step are provided for latency estimation. Performance and robustness experiments are conducted on synthetic data, and results are presented on EEG data from a P300 oddball experiment...
- Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionariesAlexandre Gramfort
INRIA, Parietal team, Saclay, France
Inf Process Med Imaging 22:600-11. 2011..We compare the accuracy of our new method to recently proposed inverse solvers with help of simulations and analysis of real MEG data...
- Total variation regularization for fMRI-based prediction of behaviorVincent Michel
INRIA, Saclay Ile de France, Parietal team, France CEA DSV I2BM Neurospin LNAO, Saclay, France
IEEE Trans Med Imaging 30:1328-40. 2011..Moreover, this article presents the first use of TV regularization for classification...
- Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic mapsAlexandre Gramfort
Odyssée Project Team ENPC ENS INRIA
Conf Proc IEEE Eng Med Biol Soc 2007:4945-8. 2007..The excellent time resolution of MEG imaging further opens interesting perspectives on the temporal and spectral processes sustained by the human visual system...
- Multi-subject dictionary learning to segment an atlas of brain spontaneous activityGaël Varoquaux
INSERM U992, Cognitive Neuroimaging Unit, Saclay, France
Inf Process Med Imaging 22:562-73. 2011..On resting-state fMRI data, we extract the first atlas of spontaneous brain activity and show how it defines a subject-specific functional parcellation of the brain in localized regions...