Realignment strategies for awake monkey fMRI data, Magnetic Resonance Imaging

Stoewer, Steffen, Goense, Jozien, Keliris, Georgios A, Bartels, Andreas, Logoththetis, Nikos K, Duncan, John and Sigala, Natasha (2011) Realignment strategies for awake monkey fMRI data, Magnetic Resonance Imaging. Magnetic Resonance Imaging, 29 (10). pp. 1390-1400. ISSN 0730-725X

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Functional magnetic resonance imaging (fMRI) experiments with awake nonhuman primates (NHPs) have recently seen a surge of applications. However, the standard fMRI analysis tools designed for human experiments are not optimal for NHP data collected at high fields. One major difference is the experimental setup. Although real head movement is impossible for NHPs, MRI image series often contain visible motion artifacts. Animal body movement results in image position changes and geometric distortions. Since conventional realignment methods are not appropriate to address such differences, algorithms tailored specifically for animal scanning become essential. We have implemented a series of high-field NHP specific methods in a software toolbox, fMRI Sandbox (, which allows us to use different realignment strategies. Here we demonstrate the effect of different realignment strategies on the analysis of awake-monkey fMRI data acquired at high field (7 T). We show that the advantage of using a nonstandard realignment algorithm depends on the amount of distortion in the dataset. While the benefits for less distorted datasets are minor, the improvement of statistical maps for heavily distorted datasets is significant

Item Type: Article
Keywords: Functional magnetic resonance imaging; 7 Tesla; Macaque monkey; High-field fMRI; Primate; Realignment
Schools and Departments: Brighton and Sussex Medical School > Clinical and Experimental Medicine
Brighton and Sussex Medical School > Neuroscience
Subjects: R Medicine > R Medicine (General) > R895 Medical physics. Medical radiology. Nuclear medicine
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Depositing User: Hazelle Woodhurst
Date Deposited: 13 Nov 2012 10:23
Last Modified: 26 Sep 2017 11:54
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