MEG-based imaging of focal neuronal current sources
- 1 June 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Medical Imaging
- Vol. 16 (3) , 338-348
- https://doi.org/10.1109/42.585768
Abstract
We describe a new approach to imaging neural current sources from measurements of the magnetoencephalogram (MEG) associated with sensory, motor, or cognitive brain activation. Many previous approaches to this problem have concentrated on the use of weighted minimum norm (WMN) inverse methods. While these methods ensure a unique solution, they do not introduce information specific to the MEG inverse problem, often producing overly smoothed solutions and exhibiting severe sensitivity to noise. We describe a Bayesian formulation of the inverse problem in which a Gibbs prior is constructed to reflect the sparse focal nature of neural current sources associated with evoked response data. We demonstrate the method with simulated and experimental phantom data, comparing its performance with several WMN methods.Keywords
This publication has 30 references indexed in Scilit:
- An optimal constrained linear inverse method for magnetic source imagingAnnals of Biomedical Engineering, 1995
- Analysis of Discrete Ill-Posed Problems by Means of the L-CurveSIAM Review, 1992
- Continuous probabilistic solutions to the biomagnetic inverse problemInverse Problems, 1990
- Probabilistic methods in a biomagnetic inverse problemInverse Problems, 1989
- Common Structure of Smoothing Techniques in StatisticsInternational Statistical Review, 1985
- Statistical Decision Theory and Bayesian AnalysisPublished by Springer Nature ,1985
- Two bilateral sources of the late AEP as identified by a spatio-temporal dipole modelElectroencephalography and Clinical Neurophysiology/Evoked Potentials Section, 1985
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984
- APPLICATION OF DIPOLE LOCALIZATION METHODS TO SOURCE IDENTIFICATION OF HUMAN EVOKED POTENTIALS*Annals of the New York Academy of Sciences, 1982
- Somatically Evoked Magnetic Fields of the Human BrainScience, 1978