title: Eigenbrains: The free vibrational modes of the brain as a new representation for EEG.
abstract: We present a new transform for EEG signals whose basis functions are well suited to represent the large-scale dynamics associated with event related potentials. The method involves instantiating an approximate model of the electrical properties of the brain as a conductor medium and then studying the free vibrational modes of the model. These form a set of basis functions, which we call eigenbrains, that can be used to meaningfully re-represent the brain's electrical activity. Eigenbrains are compared to principal component analysis and independent component analysis to highlight differences and similarities.
authors.affiliation: School of Computer Science and Electronic Engineering, University of Essex. CO4 3SQ, Colchester, UK. rpoli@essex.ac.uk
authors.forename: Riccardo
authors.initials: R
authors.lastname: Poli
authors.forename: Luca
authors.initials: L
authors.lastname: Citi
authors.forename: Mathew
authors.initials: M
authors.lastname: Salvaris
authors.forename: Caterina
authors.initials: C
authors.lastname: Cinel
authors.forename: Francisco
authors.initials: F
authors.lastname: Sepulveda
mesh_terms: D000328:Adult; D001921:Brain / Q000502:physiology*; D016002:Discriminant Analysis; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008954:Models, Biological; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D018709:Statistics, Nonparametric; D014732:Vibration; D055815:Young Adult