Functional localization of brain sources using EEG and/or MEG data: volume conductor and source models.

In this overview we examine the basic principles of properties of electroencephalogram and magnetoencephalogram and the corresponding models of sources and of the volume conductor. In particular we show how the dipolar model is anchored in neurophysiological findings and how the different conductivities of the brain and the tissue surrounding it can be estimated. Using these basic models as tools we show how the functional localization of the neural sources of rhythmic activities (alpha and mu rhythms and sleep spindles) and of epileptiform activities can be estimated and integrated with structural data of the brain obtained with MRI.

[1]  E. Halgren,et al.  Dynamic Statistical Parametric Mapping Combining fMRI and MEG for High-Resolution Imaging of Cortical Activity , 2000, Neuron.

[2]  Jan C. de Munck,et al.  The localization of spontaneous brain activity: an efficient way to analyze large data sets , 2001, IEEE Transactions on Biomedical Engineering.

[3]  Ernst Fernando Lopes Da Silva Niedermeyer,et al.  Electroencephalography, basic principles, clinical applications, and related fields , 1982 .

[4]  R. Edelman,et al.  Magnetic resonance imaging (2) , 1993, The New England journal of medicine.

[5]  D Van 't Ent,et al.  Spike cluster analysis in neocortical localization related epilepsy yields clinically significant equivalent source localization results in magnetoencephalogram (MEG) , 2003, Clinical Neurophysiology.

[6]  F. D. Silva Neural mechanisms underlying brain waves: from neural membranes to networks. , 1991 .

[7]  F. L. D. Silva,et al.  Dynamics of non-convulsive epileptic phenomena modeled by a bistable neuronal network , 2004, Neuroscience.

[8]  P. Nunez,et al.  Neocortical Dynamics and Human EEG Rhythms , 1995 .

[9]  F. D. Silva,et al.  Source localization of MEG sleep spindles and the relation to sources of alpha band rhythms , 2002, Clinical Neurophysiology.

[10]  V. Ramachandran,et al.  Encyclopedia of the Human Brain , 2002 .

[11]  Fetsje Bijma,et al.  In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the head , 2003, IEEE Transactions on Biomedical Engineering.