Emergent Approaches for Model Selection

While there is a long tradition of considering inverse modeling as an optimization problem – i.e. designate the solution to an inverse problem as the source model corresponding to the putative global maximum of some adequacy functional – there are situations where, for empirical and/or theoretical reasons, the number of possible solutions is just too large to ensure this goal can be reached. This kind of situations calls for a paradigm shift in the approach to inverse modeling, which animates vivid discussions in the concerned scientific communities (Tarantola, 2006).

In MEG and EEG more specifically, we have admitted that picking a number of dipoles for localization purposes or an imaging prior to insure uniqueness of the solution has its (large) share of arbitrariness. Just like non parametric statistical methods have benefited from the tremendous increase of cheap computational power, Monte-Carlo simulation methods are powerful computational numerical approaches to the general problem of model selection.

Indeed, a relevant question would be to let the data help the researcher decide whether any element from a general class of models would properly account for the data, with possibly predefined confidence intervals on the admissible model parameters.

These approaches are currently emerging from the MEG/EEG literature and have considerable potential (David et al.., 2006, Mattout et al.., 2006, Daunizeau et al.., 2006). It is likely however that the critical ill-posedness of the source modeling problem be detrimental to the efficiency of establishing tight bounds on the admissible model parameters. Further, these techniques are still extremely demanding in terms of computational resources.

Froedtert & The Medical College of Wisconsin MEG Contact Information

Research investigators and clinical physicians are encouraged to contact us for further information on how to access our MEG Program and services.

Jeffrey Stout, PhD: Technical Manager
Send an email | (414) 805-1174 | (414) 805-1103 (fax)

Jean Roccapalumba, CTRS, MBA: Program Manager
Send an email | (414) 805-9906 | (414) 259-1159 (fax)

Mailing Address:
MEG Program
Department of Neurology
Medical College of Wisconsin
9200 W. Wisconsin Avenue
Milwaukee, WI 53226

MEG Program Site Map

If you are a physician and would like to inquire about or order a MEG study for your patients, please visit Froedtert Hospital MEG web pages for basic information about the procedure and/or contact Linda Allen, RN BSN, our Epilepsy Program Coordinator at (414) 805-3641 to refer your patient to our Program.

If you are a patient who is about to undergo an MEG procedure, please also visit Froedtert Hospital MEG web pages for useful information regarding the MEG routine.