Physiological noise in human cerebellar fMRI.

Détails

ID Serval
serval:BIB_B17A6E3630BF
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Physiological noise in human cerebellar fMRI.
Périodique
Magma
Auteur(s)
van der Zwaag W., Jorge J., Butticaz D., Gruetter R.
ISSN
1352-8661 (Electronic)
ISSN-L
0968-5243
Statut éditorial
Publié
Date de publication
10/2015
Peer-reviewed
Oui
Volume
28
Numéro
5
Pages
485-492
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
OBJECTIVES: To compare physiological noise contributions in cerebellar and cerebral regions of interest in high-resolution functional magnetic resonance imaging (fMRI) data acquired at 7T, to estimate the need for physiological noise removal in cerebellar fMRI.
MATERIALS AND METHODS: Signal fluctuations in high resolution (1 mm isotropic) 7T fMRI data were attributed to one of the following categories: task-induced BOLD changes, slow drift, signal changes correlated with the cardiac and respiratory cycles, signal changes related to the cardiac rate and respiratory volume per unit of time or other. [Formula: see text] values for all categories were compared across regions of interest.
RESULTS: In this high-resolution data, signal fluctuations related to the phase of the cardiac cycle and cardiac rate were shown to be significant, but comparable between cerebellar and cerebral regions of interest. However, respiratory related signal fluctuations were increased in the cerebellar regions, with explained variances that were up to 80 % higher than for the primary motor cortex region.
CONCLUSION: Even at a millimetre spatial resolution, significant correlations with both cardiac and respiratory RETROICOR components were found in all healthy volunteer data. Therefore, physiological noise correction is highly likely to improve the temporal signal-to-noise ratio (SNR) for cerebellar fMRI at 7T, even at high spatial resolution.
Mots-clé
Magnetic resonance imaging, Cerebellum, Noise, Resolution, 3D-EPI
Pubmed
Web of science
Création de la notice
21/04/2015 10:43
Dernière modification de la notice
03/03/2018 20:36
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