Magneto- and Electro-Encephalography (M/EEG) record the most direct consequences of brain activity with one-millisecond resolution. Functional brain mapping from M/EEG data requires to solve the corresponding inverse problem. In this talk, we describe the application of a recently proposed class of Monte Carlo Samplers for Bayesian estimation of multiple dipolar sources. The same method can be used either in the time domain (for stimulus induced responses) or in the frequency domain (for studying oscillatory activity).

This presentation is part of Minisymposium “MS19 - Brain imaging: from neurosignals to functional brain mapping”
organized by: Erkki Somersalo (Case Western Reserve University) , Francesca Pitolli (Dept. of Basic and Applied Sciences for Engineering, University of Rome “La Sapienza”) .

Authors:

Alberto Sorrentino (University of Genoa)

Gianvittorio Luria (University of Genoa)

Sara Sommariva (Aalto University)

Michele Piana (Dept. Mathematics, University of Genoa)

Keywords:

bayesian methods, inverse problems, statistical inverse estimation methods, stochastic processes