New approaches to receiver operating characteristic methods in functional magnetic resonance imaging with real data using repeated trials

Rajesh Ranjan Nandy, Dietmar Cordes

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Receiver operating characteristic (ROC) methods are useful tools for evaluating the sensitivity and specificity of various postprocessing algorithms used in fMRI data analysis. New ROC methods using real fMRI data are proposed that improve a previously introduced method by Le and Hu (Le and Hu, NMR Biomed 1997;10:160-164). The proposed methods provide more accurate means of estimating the true ROC curve from real data and thereby aid in the comparative evaluation of a wide range of postprocessing tools in fMRI. The mathematical relationships between different ROC curves are explored for a comparison of different ROC methods. Examples using real and simulated data are provided to illustrate the ideas involved.

Original languageEnglish
Pages (from-to)1424-1431
Number of pages8
JournalMagnetic Resonance in Medicine
Volume52
Issue number6
DOIs
StatePublished - Dec 2004

Keywords

  • Functional MRI
  • Multivariate statistical methods
  • ROC
  • Receiver operating characteristic
  • fMRI

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