title: Electromagnetic source imaging for sparse cortical activation patterns.
abstract: We propose modifications to the Automatic Relevance Determination (ARD) algorithm for solving the EEG/MEG inverse problem when the activation map of the cortex is known to be sparse. We propose to include a term to account for the background noise activity, i.e. electric activity of sources not in the cortex. Also, we prune the results of the ARD algorithm using a Model Selection criterion to get sparser results. Simulations with a realistic head model show a very important reduction of the number of sources incorrectly detected as active.
authors.affiliation: Laboratorio de Electrónica Industrial, Control e Instrumentación, Facultad de Ingeniería, Universidad Nacional de La Plata, Argentina. nellen@ieee.org
authors.forename: Nicolás
authors.initials: N
authors.lastname: von Ellenrieder
authors.forename: Martín
authors.initials: M
authors.lastname: Hurtado
authors.forename: Carlos H
authors.initials: CH
authors.lastname: Muravchik
mesh_terms: D000465:Algorithms; D002540:Cerebral Cortex / Q000502:physiology*; D004574:Electromagnetic Fields; D006801:Humans