Simultaneous MEG and EEG source analysis

  title={Simultaneous MEG and EEG source analysis},
  author={H M Huizenga and T L van Zuijen and D J Heslenfeld and P C M Molenaar},
  journal={Physics in Medicine \& Biology},
  pages={1737 - 1751}
A method is described to derive source and conductivity estimates in a simultaneous MEG and EEG source analysis. In addition the covariance matrix of the estimates is derived. Simulation studies with a concentric spheres model and a more realistic boundary element model indicate that this method has several advantages, even if only a few EEG sensors are added to a MEG configuration. First, a simultaneous analysis profits from the `preferred' location directions of MEG and EEG. Second, deep… 



The influence of model parameters on EEG/MEG single dipole source estimation

  • C. J. Stok
  • Mathematics
    IEEE Transactions on Biomedical Engineering
  • 1987
It is found that sphere radii and conductivities influence especially the strength of the EEG equivalent dipole and not its location or direction, and the MEG produces better location estimates than the EEG whereas the reverse is found for the component estimates.

MEG/EEG numerical error bounds for a dipole source with a realistic head model

  • C. MuravchikA. Nehorai
  • Computer Science
    Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)
  • 1997
Borders on the mean-squared errors when estimating a current dipole's source parameters for a three layered head model are numerically computed using measurements of EEG, MEG and their combination.

Regional head tissue conductivity estimation for improved EEG analysis

The authors develop a method for estimating regional head tissue conductivities in vivo, by injecting small electric currents into the scalp, and measuring the potentials at the remaining electrodes of a dense-array electroencephalography net, which is robust to the noise levels expected in practice.

A Bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem

A new approach to the recovering of dipole magnitudes in a distributed source model for magnetoencephalographic (MEG) and electroencephalography (EEG) imaging is presented, introducing spatial and temporal a priori information as a cure to this ill-posed inverse problem.

A random dipole model for spontaneous brain activity

It is shown that a dipole with a fixed position and a randomly fluctuating amplitude is an adequate model for the alpha -rhythm of the EEG and MEG measurements.

Comparison of the magnetoencephalogram and electroencephalogram.

Error bounds for EEG and MEG dipole source localization.

Estimated generalized least squares electromagnetic source analysis based on a parametric noise covariance model [EEG/MEG]

PEGLS is developed and its performance is tested in a simulation study and in a pseudoempirical study to show its ability to downweight noisy and correlated data.

Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain

The mathematical theory of the method is explained in detail, followed by a thorough description of MEG instrumentation, data analysis, and practical construction of multi-SQUID devices.

The application of electrical impedance tomography to reduce systematic errors in the EEG inverse problem - a simulation study

Simulations showed the existence of a strong relation between errors in the skull thickness and the EIT estimated conductivities, and showed that this compensation effect also works in the inverse problem of EEG.