title: Novelty indices: identifiers of potentially interesting time-courses in functional MRI data.
abstract: In a systematic study of hybrid MR time-series with simulated "activation" (contrast-to-noise range 1-10) we investigated the power and compared the ability of the "novelty indices" (NI) kurtosis, negentropy, and 1-lag autocorrelation, to discriminate between potentially interesting ("structured") and uninteresting ("noisy") time-courses (TCs). NIs may be employed as preprocessing tools to focus only on the interesting TCs prior to any further exploratory or confirmatory approach.
authors.affiliation: Institute for Biodiagnostics, National Research Council Canada, 435 Ellice Ave., MB R3B 1Y6, Winnipeg, Manitoba, Canada.
authors.forename: R
authors.initials: R
authors.lastname: Baumgartner
authors.forename: R
authors.initials: R
authors.lastname: Somorjai
authors.forename: R
authors.initials: R
authors.lastname: Summers
authors.forename: W
authors.initials: W
authors.lastname: Richter
authors.forename: L
authors.initials: L
authors.lastname: Ryner
mesh_terms: D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008962:Models, Theoretical; D019047:Phantoms, Imaging; D012680:Sensitivity and Specificity; D013997:Time Factors