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Erschienen in: Brain Structure and Function 2/2013

01.03.2013 | Original Article

Mapping of the mouse olfactory system with manganese-enhanced magnetic resonance imaging and diffusion tensor imaging

verfasst von: David A. Gutman, Matthew Magnuson, Waqas Majeed, Orion P. Keifer Jr, Michael Davis, Kerry J. Ressler, Shella Keilholz

Erschienen in: Brain Structure and Function | Ausgabe 2/2013

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Abstract

As the power of studying mouse genetics and behavior advances, research tools to examine systems level connectivity in the mouse are critically needed. In this study, we compared statistical mapping of the olfactory system in adult mice using manganese-enhanced MRI (MEMRI) and diffusion tensor imaging (DTI) with probabilistic tractography. The primary goal was to determine whether these complementary techniques can determine mouse olfactory bulb (OB) connectivity consistent with known anatomical connections. For MEMRI, 3D T1-weighted images were acquired before and after bilateral nasal administration of MnCl2 solution. Concomitantly, high-resolution diffusion-tensor images were obtained ex vivo from a second group of mice and processed with a probabilistic tractography algorithm originating in the OB. Incidence maps were created by co-registering and overlaying data from the two scan modalities. The resulting maps clearly show pathways between the OB and amygdala, piriform cortex, caudate putamen, and olfactory cortex in both the DTI and MEMRI techniques that are consistent with the known anatomical connections. These data demonstrate that MEMRI and DTI are complementary, high-resolution neuroimaging tools that can be applied to mouse genetic models of olfactory and limbic system connectivity.
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Metadaten
Titel
Mapping of the mouse olfactory system with manganese-enhanced magnetic resonance imaging and diffusion tensor imaging
verfasst von
David A. Gutman
Matthew Magnuson
Waqas Majeed
Orion P. Keifer Jr
Michael Davis
Kerry J. Ressler
Shella Keilholz
Publikationsdatum
01.03.2013
Verlag
Springer-Verlag
Erschienen in
Brain Structure and Function / Ausgabe 2/2013
Print ISSN: 1863-2653
Elektronische ISSN: 1863-2661
DOI
https://doi.org/10.1007/s00429-012-0413-6

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