Novelty indices: identifiers of potentially interesting time-courses in functional MRI data.
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.
Baumgartner
R
R
Institute for Biodiagnostics, National Research Council Canada, 435 Ellice Ave., MB R3B 1Y6, Winnipeg, Manitoba, Canada.
Somorjai
R
R
Summers
R
R
Richter
W
W
Ryner
L
L
D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008962:Models, Theoretical; D019047:Phantoms, Imaging; D012680:Sensitivity and Specificity; D013997:Time Factors