- 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...
- 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...
- 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....
- 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...
- 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...
- 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...
- 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...
- 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...
- 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...
- 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...
- 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 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...
- 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...
- 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...