742 citations
- Centre Inria de SaclayFR2 papers
- Child Mind InstituteUS2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- California Institute of TechnologyUS1 paper
- CEA Paris-SaclayFR1 paper
- Centre d'Imagerie BioMedicaleCH1 paper
- Cuban Neuroscience CenterCU1 paper
- École Centrale ParisFR1 paper
- InsermFR1 paper
- Jet Propulsion LaboratoryUS1 paper
- Max Planck Institute for Biophysical ChemistryDE1 paper
7 papers
Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI
Athena Taymourtash, Hamza Kebiri, Ernst Schwartz +6
Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful imaging technique for studying functional development of the brain in utero. However, unpredictable and exc…
Identification of oscillatory brain networks with Hidden Gaussian Graphical Spectral models of EEG/MEG
Deirel Paz-Linares, Eduardo Gonzalez-Moreira, Ariosky Areces-Gonzalez +7
Identifying the functional networks underpinning indirectly observed processes poses an inverse problem for neurosciences or other fields. A solution of such inverse problems estim…
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
Alexandre Abraham, Michael Milham, Adriana Di Martino +4
Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the promise to reveal functional biomarkers of neuropsychiatric disorders. However, extracting such biomarkers is…
Bayesian Evidence and Model Selection
Kevin H. Knuth, Michael Habeck, Nabin K. Malakar +2
In this paper we review the concepts of Bayesian evidence and Bayes factors, also known as log odds ratios, and their application to model selection. The theory is presented along…
Learning and comparing functional connectomes across subjects
Gaël Varoquaux, R. C. Craddock
Functional connectomes capture brain interactions via synchronized fluctuations in the functional magnetic resonance imaging signal. If measured during rest, they map the intrinsic…
Source separation as an exercise in logical induction
Kevin H. Knuth
We examine the relationship between the Bayesian and information-theoretic formulations of source separation algorithms. This work makes use of the relationship between the work of…