Inverse Methods for EEG and MEG Source Reconstruction
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
In this lecture we review the most popular inverse methods for EEG and MEG source reconstruction. Inverse methods can be divided into three different catagories: a) overdetermined models, b) underdetermined dipole field reconstructions with additional constraints, and c) scanning methods resulting in pseudoimages of neural activity. We will present an introductory course into the following methods: 1. Dipole models, 2. Minimum norm solutions and variants (L2, L1, mixed norms, S-FLEX), 2. Beamformers (SAM, LCMV-beamformer, DICS) , and 4. subspace methods (MUSIC and RAP-MUSIC). The aim of this lecture is to explain the main concepts behind these methods, and to illustrate respective strengths and weaknesses in mostly simulated data.
Download slides: bbci2012_haufe_nolte_source_reconstruction_01.pdf (3.8 MB)
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !