Jump to : Download | Abstract | Keywords | Contact | BibTex reference | EndNote reference |


M. Fuchs, M. Wagner, T. Kohler, H.A. Wischmann. Linear and nonlinear current density reconstructions. J Clin Neurophysiol, 16(3):267-295, 1999.


Download paper: (link)

Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


Minimum norm algorithms for EEG source reconstruction are studied in view of their spatial resolution, regularization, and lead-field normalization properties, and their computational efforts. Two classes of minimum norm solutions are examined: linear least squares methods and nonlinear L1-norm approaches. Two special cases of linear algorithms, the well known Minimum Norm Least Squares and an implementation with Laplacian smoothness constraints, are compared to two nonlinear algorithms comprising sparse and standard L1-norm methods. In a signal-to-noise-ratio framework, two of the methods allow automatic determination of the optimum regularization parameter. Compensation methods for the different depth dependencies of all approaches by lead-field normalization are discussed. Simulations with tangentially and radially oriented test dipoles at two different noise levels are performed to reveal and compare the properties of all approaches. Finally, cortically constrained versions of the algorithms are applied to two epileptic spike data sets and compared to results of single equivalent dipole fits and spatiotemporal source models


[ Algorithms ] [ Electroencephalography/*methods ] [ Epilepsy/*diagnosis/pathology/physiopathology ] [ Female ] [ Human ] [ Image interpretation ] [ Computer-assisted ] [ Linear models ] [ Magnetic resonance imaging/*methods ] [ Male ] [ Nonlinear dynamics ] [ Signal processing ] [ Computer-assisted ]


M. Fuchs
M. Wagner
T. Kohler
H.A. Wischmann

BibTex Reference

   Author = {Fuchs, M. and Wagner, M. and Kohler, T. and Wischmann, H.A.},
   Title = {Linear and nonlinear current density reconstructions},
   Journal = {J Clin Neurophysiol},
   Volume = {16},
   Number = {3},
   Pages = {267--295},
   Year = {1999}

EndNote Reference [help]

Get EndNote Reference (.ref)