SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Soft/Hard Focalization in the EEG Inverse Problem

Author(s)

Teodor Iulian Alecu	Computer Vision and Multimedia Laboratory, University of Geneva, 24 Rue Général-Dufour, 1204 Geneva, Switzerland
Pascal Missonnier	Neuroimaging Unit, Service of Geriatric Psychiatry, Department of Psychiatry, University Hospitals of Geneva, 1225 Geneva, Switzerland
Sviatoslav Voloshynovskiy	Computer Vision and Multimedia Laboratory, University of Geneva, 24 Rue Général-Dufour, 1204 Geneva, Switzerland
Pandelis Giannakopoulos	Neuroimaging Unit, Department of Psychiatry, University Hospitals of Geneva, 1225 Geneva, Switzerland Service of Old Age Psychiatry, University Hospitals of Lausanne, 1008 Prilly, Switzerland
Thierry Pun	Computer Vision and Multimedia Laboratory, University of Geneva, 24 Rue Général-Dufour, 1204 Geneva, Switzerland

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Abstract

We present in this paper a novel statistical based focalized reconstruction method for the underdetermined EEG (electroencephalogram) inverse problem. The algorithm is based on the representation of non-Gaussian distributions as an Infinite Mixture of Gaussians (IMG) and relies on an iterative procedure consisting out of alternated variance estimation/ linear inversion operations. By taking into account noise statistics, it performs implicit spurious data rejection and produces robust focalized solutions allowing for straightforward discrimination of active/non-active brain regions. We apply the proposed reconstruction procedure to average evoked potentials EEG data and compare the reconstruction results with the corresponding known physiological responses.