A New Approach to the MEG/EEG Inverse Problem for the Recovery of Cortical Phase-Synchrony

Authors:
Olivier David;Line Garnero;Francisco J. Varela
Affiliations:
-;-;-
Venue:
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Year:
2001

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Abstract

Little has been done yet to study the synchronization properties of the sources estimated from the MEG/EEG inverse problem, despite the growing interest in the role of phase relations in brain functions. In order to achieve this aim, we propose a novel approach to the MEG/EEG inverse problem based on some regularization using spectral priors: The MEG/EEG raw data are filtered in a frequency band of interest and blurred with some specific "regularization noise" prior to the inversion process. This formalism uses non quadratic regularization and a deterministic optimization algorithm. We proceed to Monte Carlo simulations using the chaotic Rössler oscillators to model the neural generators. Our results demonstate that it is possible to reveal some phase-locking between brain sources with great accuracy following the computation of the inverse problem based on scalp MEG/EEG measurements.