title: Maximum entropy method for magnetoencephalography.
abstract: Simulations show that the maximum entropy method is a promising technique for image reconstruction in magnetoencephalography. An algorithm based on the work of Skilling and Bryan [1] and an appropriately modified expression for the "entropy" is shown to provide high-quality reconstructions of both isolated and dense distributions of neural current "dipoles", neglecting return currents. In particular the results are substantially superior to those obtained with the well-known minimum norm procedure.
authors.affiliation: Physics Department, Northeastern University, Boston, MA 02115, USA.
authors.forename: M
authors.initials: M
authors.lastname: Huang
authors.forename: R
authors.initials: R
authors.lastname: Aaron
authors.forename: C A
authors.initials: CA
authors.lastname: Shiffman
mesh_terms: D016477:Artifacts; D019277:Entropy; D006801:Humans; D015225:Magnetoencephalography / Q000295:instrumentation / Q000379:methods* / Q000706:statistics & numerical data; D016011:Normal Distribution