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ICASSP
2009
IEEE

Modelling the neurovascular habituation effect on fMRI time series

9 years 7 months ago
Modelling the neurovascular habituation effect on fMRI time series
In this paper, a novel non-stationary model of functional Magnetic Resonance Imaging (fMRI) time series is proposed. It allows us to account for some putative habituation effect arising in event-related fMRI paradigms that involves the so-called repetitionsuppression phenomenon [1] and induces decreasing magnitude responses over successive trials. Akin to [2], this model is defined over functionnally homogeneous regions-of-interest (ROIs) and embedded in a joint detection-estimation approach of brain activity. Importantly, its non-stationarity character is embodied in the trial-varying nature of the BOLD response magnitude. Habituation and activation maps are then estimated within the Bayesian framework in a fully unsupervised MCMC procedure. On artificial fMRI datasets, we show that habituation effects can be accurately recovered in activating voxels.
Philippe Ciuciu, Stéphane Sockeel, Thomas V
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICASSP
Authors Philippe Ciuciu, Stéphane Sockeel, Thomas Vincent, Jérôme Idier
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