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Titolo:
Assessing study-specific regional variations in fMRI signal
Autore:
Lipschutz, B; Friston, KJ; Ashburner, J; Turner, R; Price, CJ;
Indirizzi:
Inst Neurol, Wellcome Dept Cognit Neurol, London WC1N 3BG, England Inst Neurol London England WC1N 3BG nit Neurol, London WC1N 3BG, England Free Univ Brussels, Unite Rech Neurosci Cognit, Brussels, Belgium Free Univ Brussels Brussels Belgium Neurosci Cognit, Brussels, Belgium Fonds Natl Rech Sci, Brussels, Belgium Fonds Natl Rech Sci Brussels Belgium s Natl Rech Sci, Brussels, Belgium
Titolo Testata:
NEUROIMAGE
fascicolo: 2, volume: 13, anno: 2001,
pagine: 392 - 398
SICI:
1053-8119(200102)13:2<392:ASRVIF>2.0.ZU;2-I
Fonte:
ISI
Lingua:
ENG
Soggetto:
STATIC MAGNETIC-FIELD; GRADIENT-ECHO; HUMAN BRAIN; HUMAN HEAD; OXYGENATION; DISTORTION; IMAGES; ARTIFACTS; CONTRAST; MRI;
Keywords:
susceptibility artifacts; functional neuroimaging; fMRI;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
24
Recensione:
Indirizzi per estratti:
Indirizzo: Lipschutz, B Inst Neurol, Wellcome Dept Cognit Neurol, Queen Sq, London WC1N 3BG, England Inst Neurol Queen Sq London England WC1N 3BG 1N 3BG, England
Citazione:
B. Lipschutz et al., "Assessing study-specific regional variations in fMRI signal", NEUROIMAGE, 13(2), 2001, pp. 392-398

Abstract

In this paper, we present a post hoc method for identifying regions where functional MRI data are subject to signal reduction that may compromise sensitivity to activations. The motivation for developing this technique derives from recent language studies that showed responses in the inferior temporal lobe that could be detected by PET but not by fMRI. Reduced signal is due mostly to susceptibility artifacts and can be identified by comparing the T2* images (which are subject to susceptibility artifacts) with T2 images(which are not). However, T2 images are not usually acquired in fMRI studies. Therefore, we propose that areas with reduced signal can be identified by comparing T2* images that are corrected for nonuniformity with the original uncorrected images. The technique provides a voxel-wise characterization of signal reduction that pertains to the particular data that enter into a statistical model. It requires only the functional data and can thus be applied post hoc and without any additional scans. (C) 2001 Academic Press.

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Documento generato il 18/01/20 alle ore 11:01:42