[Forum SIS] DEC Seminar - March 20th

[Raffaella Piccarreta]

Dear all, 

we are glad to announce the following DEC seminar 




Thursday, March 20th 
Università Bocconi, 
Room 3-E4-SR03 
Via Rontgen 1 - 3rd floor 
Time: 12:30pm 


Raquel Prado 
(University of California Santa Cruz, USA) 


Bayesian modeling approaches for inferring activation and connectivity from brain signals 



Abstract 
We consider Bayesian state-space models for the analysis of large-dimensional brain signals including 
functional magnetic resonance imaging (fMRI) signals and multi-channel electroencephalogram 
(EEG) data. In the case of fMRI signals, we develop a modeling approach that allows us to 
jointly infer local hemodynamic response functions and activation parameters, as well as global 
effective and functional connectivity parameters across multiple regions of interest (ROIs) in the 
brain. Sparsity priors are placed on the parameters that describe coupling relationships between 
ROIs. We also consider dynamic factor models with structured latent factors for the analysis of 
multi-channel EEG and fMRI data. We discuss several aspects of the proposed models, as well as 
posterior inference through Markov chain Monte Carlo and sequential Monte Carlo methods. We 
apply the statistical models and methods to the analysis of two real fMRI datasets and one EEG 
dataset. 

****************************************************************** 
The DEC seminar schedule is available at http://www.unibocconi.eu/statseminar 
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