Bertrand Thirion

Summary

Affiliation: INRIA Sophia Antipolis
Country: France

Publications

  1. pmc Fast reproducible identification and large-scale databasing of individual functional cognitive networks
    Philippe Pinel
    INSERM U562 IFR 49, Cognitive Neuroimaging Unit, Gif sur Yvette, France
    BMC Neurosci 8:91. 2007
  2. ncbi request reprint Accurate definition of brain regions position through the functional landmark approach
    Bertrand Thirion
    Parietal team, INRIA Saclay Île de France, Saclay, France
    Med Image Comput Comput Assist Interv 13:241-8. 2010
  3. ncbi request reprint Structural analysis of fMRI data revisited: improving the sensitivity and reliability of fMRI group studies
    Bertrand Thirion
    INRIA Futurs Research Institute, Parc Club Orsay Universit ZAC des Vignes, 91893 Orsay Cedex, France
    IEEE Trans Med Imaging 26:1256-69. 2007
  4. ncbi request reprint High level group analysis of FMRI data based on Dirichlet process mixture models
    Bertrand Thirion
    INRIA Futurs, Neurospin, Gif sur Yvette Cedex, France
    Inf Process Med Imaging 20:482-94. 2007
  5. ncbi request reprint Inverse retinotopy: inferring the visual content of images from brain activation patterns
    Bertrand Thirion
    INRIA Futurs, Service Hospitalier Frederic Joliot, 4, Place du Général Leclerc 91401 Orsay Cedex, France
    Neuroimage 33:1104-16. 2006
  6. ncbi request reprint Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses
    Bertrand Thirion
    INRIA Futurs, Service Hospitalier Frederic Joliot, 4, place du General Leclerc, 91401 Orsay Cedex, France
    Neuroimage 35:105-20. 2007
  7. ncbi request reprint Finding landmarks in the functional brain: detection and use for group characterization
    Bertrand 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
  8. ncbi request reprint Enhancing the reproducibility of group analysis with randomized brain parcellations
    Benoit Da Mota
    Parietal team, INRIA Saclay Île de France, Saclay, France
    Med Image Comput Comput Assist Interv 16:591-8. 2013
  9. doi request reprint Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimators
    Virgile Fritsch
    Parietal team, INRIA Saclay Île de France, Saclay, France
    Med Image Anal 16:1359-70. 2012
  10. ncbi request reprint Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets
    Bertrand Thirion
    Service Hospitalier Frederic Joliot, Département de Recherche Médicale CEA DSV UNAF, Orsay Cedex, France
    Hum Brain Mapp 27:678-93. 2006

Detail Information

Publications31

  1. pmc Fast reproducible identification and large-scale databasing of individual functional cognitive networks
    Philippe 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...
  2. ncbi request reprint Accurate definition of brain regions position through the functional landmark approach
    Bertrand 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...
  3. ncbi request reprint Structural analysis of fMRI data revisited: improving the sensitivity and reliability of fMRI group studies
    Bertrand 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...
  4. ncbi request reprint High level group analysis of FMRI data based on Dirichlet process mixture models
    Bertrand 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...
  5. ncbi request reprint Inverse retinotopy: inferring the visual content of images from brain activation patterns
    Bertrand 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...
  6. ncbi request reprint Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses
    Bertrand 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...
  7. ncbi request reprint Finding landmarks in the functional brain: detection and use for group characterization
    Bertrand 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...
  8. ncbi request reprint Enhancing the reproducibility of group analysis with randomized brain parcellations
    Benoit Da Mota
    Parietal team, INRIA Saclay Île de France, Saclay, France
    Med Image Comput Comput Assist Interv 16:591-8. 2013
    ....
  9. doi request reprint Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimators
    Virgile 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...
  10. ncbi request reprint Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets
    Bertrand 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...
  11. ncbi request reprint A novel sparse graphical approach for multimodal brain connectivity inference
    Bernard 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...
  12. ncbi request reprint Improving accuracy and power with transfer learning using a meta-analytic database
    Yannick 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...
  13. pmc Total variation regularization for fMRI-based prediction of behavior
    Vincent 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...
  14. ncbi request reprint Inference of a HARDI fiber bundle atlas using a two-level clustering strategy
    Pamela 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...
  15. ncbi request reprint Joint T1 and brain fiber log-demons registration using currents to model geometry
    Viviana 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...
  16. ncbi request reprint Extracting brain regions from rest fMRI with total-variation constrained dictionary learning
    Alexandre Abraham
    Parietal team, INRIA Saclay Île de France, Saclay, France
    Med Image Comput Comput Assist Interv 16:607-15. 2013
    ..Our approach automatically extracts regions from rest fMRI that better explain the data and are more stable across subjects than reference decomposition or clustering methods...
  17. ncbi request reprint Detection of signal synchronizations in resting-state fMRI datasets
    Bertrand 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
    ....
  18. ncbi request reprint Combined permutation test and mixed-effect model for group average analysis in fMRI
    Sébastien 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...
  19. ncbi request reprint Implications of inconsistencies between fMRI and dMRI on multimodal connectivity estimation
    Bernard Ng
    Parietal team, Neurospin, Inria Saclay, France
    Med Image Comput Comput Assist Interv 16:652-9. 2013
    ..Importantly, we illustrate that these inconsistencies can be useful in fMRI-dMRI integration for improving brain connectivity estimation...
  20. ncbi request reprint Detecting outlying subjects in high-dimensional neuroimaging datasets with regularized minimum covariance determinant
    Virgile 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...
  21. ncbi request reprint Mixed-effect statistics for group analysis in fMRI: a nonparametric maximum likelihood approach
    Alexis 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...
  22. ncbi request reprint Multi-subject dictionary learning to segment an atlas of brain spontaneous activity
    Gaël 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...
  23. doi request reprint Early maturation of the linguistic dorsal pathway in human infants
    Francois Leroy
    INSERM, U992, Neurospin, 91191 Gif Yvette, France
    J Neurosci 31:1500-6. 2011
    ....
  24. doi request reprint Very large fMRI study using the IMAGEN database: sensitivity-specificity and population effect modeling in relation to the underlying anatomy
    Benjamin 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...
  25. ncbi request reprint Challenging the estimation of cortical activity from MEG with simulated fMRI-constrained retinotopic maps
    Alexandre 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...
  26. ncbi request reprint Variational, geometric, and statistical methods for modeling brain anatomy and function
    Olivier 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...
  27. ncbi request reprint Feature characterization in fMRI data: the Information Bottleneck approach
    Bertrand 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...
  28. doi request reprint Randomized parcellation based inference
    Benoit Da Mota
    Parietal team, INRIA Saclay Île de France, Saclay, France CEA, DSV, I 2 BM, Neurospin bât 145, 91191 Gif sur Yvette, France Electronic address
    Neuroimage 89:203-15. 2014
    ....
  29. doi request reprint A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI
    Salima 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...
  30. ncbi request reprint Dynamical components analysis of fMRI data through kernel PCA
    Bertrand 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...