EEG and MEG: forward solutions for inverse methods

Imaging Methods for MEG/EEG Inverse Problem

Recovering electrical activity of the brain from MEG/EEG measurements is known as the MEEG inverse problem. It is an ill-posed problem in several senses. One is that there is further less data observed than data to recover. One way to address this issue is to search for regular solutions. We present here a framework for applying image processing filtering techniques to the MEEG inverse problem....

Probleme Inverse Meg / Eeg

Inverse Modeling for MEG/EEG data

We provide an overview of the state-of-the-art for mathematical methods that are used to reconstruct brain activity from neurophysiological data. After a brief introduction on the mathematics of the forward problem, we discuss standard and recently proposed regularization methods, as well as Monte Carlo techniques for Bayesian inference. We classify the inverse methods based on the underlying s...

Mixed EEG/MEG imaging: a way forward

It has been suggested that a combined Magnetoencephalography (MEG) / Electroencephalography (EEG) analysis technique would be a desirable aim. The main reason put forward in support of this suggestion is that there exist so called silent sources which are distributions of current which produce no external magnetic eld. For example, it is well known that in the conducting sphere model of the bra...

Matrix Kernels for the Forward Problem in EEG and MEG

This technical report has been submitted for review and possible publication in a journal. Because changes may be made before publication, this document is made available with the understanding that any journal version supersedes this document. Until such journal publication occurs, please cite this work using the above technical report number. Magnetoencephalography (MEG) and electroencephalog...