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- Institut national de recherche en sciences et technologies du numériqueFR141 papers
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6 papers · 1 filter
Physiologically Informed Bayesian Analysis of ASL fMRI Data
Aina Frau-Pascual, Thomas Vincent, Jennifer Sloboda +2
Arterial Spin Labelling (ASL) functional Magnetic Resonance Imaging (fMRI) data provides a quantitative measure of blood perfusion, that can be correlated to neuronal activation. I…
Markov models for fMRI correlation structure: is brain functional connectivity small world, or decomposable into networks?
Gaël Varoquaux, Alexandre Gramfort, Jean Baptiste Poline +1
Correlations in the signal observed via functional Magnetic Resonance Imaging (fMRI), are expected to reveal the interactions in the underlying neural populations through hemodynam…
Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling
Gaël Varoquaux, Flore Baronnet, Andreas Kleinschmidt +2
Functional brain connectivity, as revealed through distant correlations in the signals measured by functional Magnetic Resonance Imaging (fMRI), is a promising source of biomarkers…
ICA-based sparse feature recovery from fMRI datasets
Gaël Varoquaux, Merlin Keller, Jean Baptiste Poline +2
Spatial Independent Components Analysis (ICA) is increasingly used in the context of functional Magnetic Resonance Imaging (fMRI) to study cognition and brain pathologies. Salient…
A group model for stable multi-subject ICA on fMRI datasets
G. Varoquaux, S. Sadaghiani, P. Pinel +3
Spatial Independent Component Analysis (ICA) is an increasingly used data-driven method to analyze functional Magnetic Resonance Imaging (fMRI) data. To date, it has been used to e…
Time Series Technical Analysis via New Fast Estimation Methods: A Preliminary Study in Mathematical Finance
Michel Fliess, Cédric Join
New fast estimation methods stemming from control theory lead to a fresh look at time series, which bears some resemblance to "technical analysis". The results are applied to a typ…