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Titolo:
Permutation testing made practical for functional magnetic resonance imageanalysis
Autore:
Belmonte, M; Yurgelun-Todd, D;
Indirizzi:
McLean Hosp, Brain Imaging Ctr, Cognit Neuroimaging Lab, Belmont, MA USA McLean Hosp Belmont MA USA Ctr, Cognit Neuroimaging Lab, Belmont, MA USA Boston Univ, Program Behav Neurosci, Boston, MA USA Boston Univ Boston MAUSA n Univ, Program Behav Neurosci, Boston, MA USA Harvard Univ, Sch Med, Boston, MA 02115 USA Harvard Univ Boston MA USA 02115 vard Univ, Sch Med, Boston, MA 02115 USA
Titolo Testata:
IEEE TRANSACTIONS ON MEDICAL IMAGING
fascicolo: 3, volume: 20, anno: 2001,
pagine: 243 - 248
SICI:
0278-0062(200103)20:3<243:PTMPFF>2.0.ZU;2-W
Fonte:
ISI
Lingua:
ENG
Keywords:
fMRI; permutation test; resampling; software;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Engineering, Computing & Technology
Citazioni:
12
Recensione:
Indirizzi per estratti:
Indirizzo: Belmonte, M MIT, Room 14E-303, Cambridge, MA 02139 USA MIT Room 14E-303 Cambridge MA USA 02139 ambridge, MA 02139 USA
Citazione:
M. Belmonte e D. Yurgelun-Todd, "Permutation testing made practical for functional magnetic resonance imageanalysis", IEEE MED IM, 20(3), 2001, pp. 243-248

Abstract

We describe an efficient algorithm for the step-down permutation test, applied to the analysis of functional magnetic resonance images. The algorithm's time bound is nearly linear, making it feasible as an interactive tool. Results of the permutation test algorithm applied to data from a cognitive activation paradigm are compared with those of a standard parametric test corrected for multiple comparisons. The permutation test identifies more weakly activated voxels than the parametric test, always activates a superset of the voxels activated by this parametric method, almost always yields significance levels greater than or equal to those produced by the parametric method, and tends to enlarge activated clusters rather than adding isolatedvoxels, Our implementation of the permutation test is freely available as part of a widely distributed software package for analysis of functional brain images.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 28/11/20 alle ore 03:57:13