Mapping of the Mouse Olfactory System with Manganese-Enhanced Magnetic Resonance Imaging and Diffusion Tensor Imaging

• Type of Material: Article
• Authors: David Andrew Gutman, Emory University; Matthew Magnuson, Emory University; Waqas Majeed, Vanderbilt University; Orion P. Keifer, Emory University; Michael E Davis, Emory University; Kerry J. Ressler, Emory University; Shella Keilholz, Emory University
• Language: English
• Date: 2013-03
• Publisher: Springer (part of Springer Nature): Springer Open Choice Hybrid Journals
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: © Springer-Verlag 2012
• Final Published Version (URL): http://link.springer.com/article/10.1007%2Fs00429-012-0413-6
• Title of Journal or Parent Work: Brain Structure and Function
• ISSN: 1863-2653
• Volume: 218
• Issue: 2
• Start Page: 527
• End Page: 537
• Grant/Funding Information: Funding for this project was provided by two Venture Grants from the Science and Technology Center (The Center for Behavioral Neuroscience of the National Science Foundation under Agreement No. IBN-9876754), NIH grant (DA019624), and the Yerkes National Primate Research Center Base Grant 2P51RR000165-51.
• Keywords: Manganese Enhanced MRI (MEMRI); Diffusion Tensor Imaging (DTI); Mouse; Olfactory System; Statistical Mapping
• Research Categories: Biology, Bioinformatics; Engineering, Biomedical

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 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 olfactory bulb. Incidence maps were created by co-registering and overlaying data from the two scan modalities. The resulting maps clearly show pathways between the olfactory bulb 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.