title: Spectral methods for functional brain imaging.
abstract: Dynamic functional imaging experiments typically generate large, multivariate data sets that contain considerable spatial and temporal complexity. The goal of this introduction is to present signal-processing techniques that allow the underlying spatiotemporal structure to be readily distilled and that also enable signal versus noise contributions to be separated.
authors.forename: David
authors.initials: D
authors.lastname: Kleinfeld
authors.forename: Partha P
authors.initials: PP
authors.lastname: Mitra
mesh_terms: D001921:Brain / Q000502:physiology*; D059907:Functional Neuroimaging / Q000379:methods*; D006801:Humans; D012815:Signal Processing, Computer-Assisted