Research Topics
| Bertrand ThirionSummaryAffiliation: INRIA Sophia Antipolis Country: France Publications
| Collaborators
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Detail Information
Publications
Fast reproducible identification and large-scale databasing of individual functional cognitive networksPhilippe Pinel
INSERM U562 IFR 49, Cognitive Neuroimaging Unit, Gif sur Yvette, France
BMC Neurosci 8:91. 2007..This protocol captures the cerebral bases of auditory and visual perception, motor actions, reading, language comprehension and mental calculation at an individual level...
Inverse retinotopy: inferring the visual content of images from brain activation patternsBertrand Thirion
INRIA Futurs, Service Hospitalier Frederic Joliot, 4, Place du Général Leclerc 91401 Orsay Cedex, France
Neuroimage 33:1104-16. 2006..Furthermore, we extend this principle to mental imagery data: in five data sets, our algorithms could reconstruct and predict with significant accuracy a pattern imagined by the subjects...
High level group analysis of FMRI data based on Dirichlet process mixture modelsBertrand Thirion
INRIA Futurs, Neurospin, Gif sur Yvette Cedex, France
Inf Process Med Imaging 20:482-94. 2007..Finally, inter-subject correspondences are computed with Bayesian Network models. We show the power of the technique on both simulated and real datasets and compare it with standard inference techniques...
Structural analysis of fMRI data revisited: improving the sensitivity and reliability of fMRI group studiesBertrand Thirion
INRIA Futurs Research Institute, Parc Club Orsay Universit ZAC des Vignes, 91893 Orsay Cedex, France
IEEE Trans Med Imaging 26:1256-69. 2007..Moreover, it directly provides information on the spatial position correspondence or variability of the activated regions across subjects, which is difficult to obtain in standard voxel-based analyses...
Accurate definition of brain regions position through the functional landmark approachBertrand Thirion
Parietal team, INRIA Saclay Île de France, Saclay, France
Med Image Comput Comput Assist Interv 13:241-8. 2010..These results demonstrate that explicit functional landmark modeling approaches are more effective than standard statistical mapping for brain functional focus detection...
Analysis of a large fMRI cohort: Statistical and methodological issues for group analysesBertrand Thirion
INRIA Futurs, Service Hospitalier Frederic Joliot, 4, place du General Leclerc, 91401 Orsay Cedex, France
Neuroimage 35:105-20. 2007..Moreover, our study shows that inter-subject variability plays a prominent role in the relatively low sensitivity and reliability of group studies...
Finding landmarks in the functional brain: detection and use for group characterizationBertrand Thirion
Service Hospitalier Frederic Joliot, Département de Recherche Médicale CEA DSV 4, place du General Leclerc, 91401 Orsay, France
Med Image Comput Comput Assist Interv 8:476-83. 2005..We explore a dataset acquired while subjects were involved in several cognitive and sensori-motor processes, and show that this representation allows to classify subjects into sub-groups on the basis of their BFL activity...
Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasetsBertrand Thirion
Service Hospitalier Frederic Joliot, Département de Recherche Médicale CEA DSV UNAF, Orsay Cedex, France
Hum Brain Mapp 27:678-93. 2006..We show that we can obtain groups (or cliques) of parcels that well summarize inter-subject activations. We also show that the spatial relaxation embedded in our procedure improves the sensitivity of random-effect analysis...
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...
Combined permutation test and mixed-effect model for group average analysis in fMRISébastien Mériaux
CEA, Service Hospitalier Frederic Joliot, Orsay, France
Hum Brain Mapp 27:402-10. 2006..We present results from the Functional Imaging Analysis Contest 2005 dataset to support this claim...
Detection of signal synchronizations in resting-state fMRI datasetsBertrand Thirion
Service Hospitalier Frederic Joliot, Département de Recherche Médicale CEA DSV, 4, place du General Leclerc, 91401 Orsay Cedex, France
Neuroimage 29:321-7. 2006....
Inference of a HARDI fiber bundle atlas using a two-level clustering strategyPamela Guevara
Neurospin, CEA, Gif sur Yvette, France
Med Image Comput Comput Assist Interv 13:550-7. 2010..The resulting model includes the large bundles of anatomical literature and about 20 U-fiber bundles in each hemisphere...
Detecting outlying subjects in high-dimensional neuroimaging datasets with regularized minimum covariance determinantVirgile Fritsch
Parietal team, INRIA Saclay Île de France, Saclay, France
Med Image Comput Comput Assist Interv 14:264-71. 2011..We show on simulated and real data that outliers can be detected satisfactorily, even in situations where the number of dimensions of the data exceeds the number of observations...
Mixed-effect statistics for group analysis in fMRI: a nonparametric maximum likelihood approachAlexis Roche
CEA, Neurospin, Gif sur Yvette, France
Neuroimage 38:501-10. 2007..The new tests are implemented in a freely available toolbox for SPM called Distance...
Improving accuracy and power with transfer learning using a meta-analytic databaseYannick Schwartz
Parietal team, INRIA Saclay Île de France, Saclay, France
Med Image Comput Comput Assist Interv 15:248-55. 2012..In addition, on a specific transfer situation involving different scanners at different locations, we show that voxel selection based on transfer learning leads to higher detection power on small cohorts...
Joint T1 and brain fiber log-demons registration using currents to model geometryViviana Siless
Parietal team, INRIA Saclay Île de France, Saclay, France
Med Image Comput Comput Assist Interv 15:57-65. 2012..Results show the superiority of the Log-domain Geometric Demons over their purely iconic counterparts...
Early maturation of the linguistic dorsal pathway in human infantsFrancois Leroy
INSERM, U992, Neurospin, 91191 Gif Yvette, France
J Neurosci 31:1500-6. 2011....
Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimatorsVirgile Fritsch
Parietal team, INRIA Saclay Île de France, Saclay, France
Med Image Anal 16:1359-70. 2012..We demonstrate on functional neuroimaging datasets that outlier detection can be performed with small sample sizes and improves group studies...
Very large fMRI study using the IMAGEN database: sensitivity-specificity and population effect modeling in relation to the underlying anatomyBenjamin Thyreau
Neurospin, Commissariat a l Energie Atomique, Gif sur Yvette, France
Neuroimage 61:295-303. 2012..We conclude that adding matter information consistently improves the quantitative analysis of BOLD responses in some areas of the brain, particularly those where accurate inter-subject registration remains challenging...
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...
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...
Variational, geometric, and statistical methods for modeling brain anatomy and functionOlivier Faugeras
Odyssée Laboratory ENPC ENS INRIA, INRIA, BP93, 06902 Sophia Antipolis, France
Neuroimage 23:S46-55. 2004..The paper ends with a discussion of a new theory of random shapes that may prove useful in building anatomical and functional atlases...
A novel sparse graphical approach for multimodal brain connectivity inferenceBernard Ng
Parietal team, Neurospin, INRIA Saclay Île de France, France
Med Image Comput Comput Assist Interv 15:707-14. 2012..Moreover, we demonstrated that incorporating a connectivity prior learned with our multimodal connectivity estimation approach improves activation detection...
Feature characterization in fMRI data: the Information Bottleneck approachBertrand Thirion
CEA SHFJ, 4, place du General Leclerc, 91401, Orsay Cedex, France
Med Image Anal 8:403-19. 2004..The IB quantization provides a consistent representation of the data, allowing for an easy interpretation and comparison of datasets...
A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRISalima Makni
Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, John Radcliffe Hospital, Oxford, UK
Neuroimage 41:941-69. 2008..This phenomenon is clearly recovered as well as the hierarchical temporal organisation of the superior temporal sulcus, which is directly derived from the parcel-based HRF estimates...
Dynamical components analysis of fMRI data through kernel PCABertrand Thirion
Odyssée Laboratory ENPC Cermics ENS Ulm INRIA, INRIA Sophia Antipolis, 2004 route des Lucioles, BP 93, FR 06902 Sophia Antipolis
Neuroimage 20:34-49. 2003..We illustrate the usefulness of nonlinearity through the analysis of a synthetic dataset and show on a real dataset how it helps to interpret the experimental results...
