Robustness and sensitivity of hotelling's T2-based permutation tests for selection of 3D morphological markers

L. Ferrarini, G. B. Frisoni, M. Pievani, R. Ganzola, J. H C Reiber, J. Milles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multivariate statistics are a powerful tool to analyze morphological changes in three-dimensional brain structures. The Hotelling's T2 (HT2) statistic has previously been used to this purpose. HT 2 is a parametric test which assumes normal distribution of the data: when this does not hold, as often happens for shape analysis, the test can still be used as basis for nonparametric permutation tests (PT). In their approximate version, PT are nondeterministic, being affected by the randomly pooled subset of permutations. In this study, we investigate the sensitivity and robustness of HT2-based PT, with respect to nondeterministic effects, both on simulated data and a medical application: the detection of hippocampal morphological changes to accurately predict conversion to Alzheimer's disease. The sensitivity of PT increases significantly with larger sample size, while is less dependent on the number of permutations. Moreover, PT provides statistically consistent classification performances: 80% accuracy in predicting conversion to Alzheimer's disease.

Original languageEnglish
Title of host publication2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings
Pages57-60
Number of pages4
DOIs
Publication statusPublished - 2010
Event7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands
Duration: Apr 14 2010Apr 17 2010

Other

Other7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
CountryNetherlands
CityRotterdam
Period4/14/104/17/10

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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