Neuroscience 2004 Abstract
| Presentation Number: | 1033.5 |
|---|---|
| Abstract Title: | Mapping variability in <I>in vivo</I> mouse brain using MRI. |
| Authors: |
Tinsley, M. R.*1
; Mackenzie-Graham, A. M.2
; Rao, V. Y.1
; Jacobs, R.3
; Cannon, T. D.1
; Toga, A. W.2
1Clin. Neurosci. Lab., UCLA, Los Angeles, CA 2Dept. of Psychology, UCLA, Los Angeles, CA 3CA, Franz Hall, |
| Primary Theme and Topics |
Techniques in Neuroscience - Staining, tracing and imaging techniques |
| Session: |
1033. Imaging Techniques: Three-Dimensional Reconstruction Poster |
| Presentation Time: | Wednesday, October 27, 2004 1:00 PM-2:00 PM |
| Location: | San Diego Convention Center - Hall A-H, Board # GGG39 |
| Keywords: | brain atlas, structural imaging, animal model |
Magnetic resonance imaging of rats and mice provides detailed information in animal models of a variety of diseases: heart disease (Franco et al., 1999), prostate cancer (Hsu et al., 1998), osteoarthritis (Munasinghe et al., 1996), and in C57/Bl/6 and ApoE-deficient mice following cerebral ischemia (McDaniel et al, 2001). As part of ongoing research, the Mouse Atlas Project, we have used image analysis software developed for human brain imaging to create a multi-subject brain atlas of normal, adult male, C57Bl/6 mice.
T2-weighted MRM images were acquired (RARE 3D imaging protocol (8 echoes), matrix dimensions = 256 x 256 x 512; FOV = 1.5 cm x 1.5 cm x 3.0 cm; repetition time = 1500 ms; effective time = 10 ms; number of averages = 4). Following manual skull stripping of the images, we created a linearly aligned common brain from the extracted brains using two stages of registration and then using a non-linear 168 parameter model registered each of the brains to this standard using AIR 5.2.5 (Woods et. al., 1998). Using binary masks of the individual, registered brains to generate an intersect mask, the overlapping regions of these brains were averaged to form a non-linearly warped atlas of this group of mice.
Having established a group average brain, we analyzed within-group variability as a precursor to developing between-group analyses. After transforming each of the images to aligned images, z-scores of T2 signal intensity for each voxel in each masked brain were averaged to create a group variability atlas. Preliminary examination of this atlas shows regions of higher variability in the olfactory bulb, piriform cortex and amygdaloid complex.
T2-weighted MRM images were acquired (RARE 3D imaging protocol (8 echoes), matrix dimensions = 256 x 256 x 512; FOV = 1.5 cm x 1.5 cm x 3.0 cm; repetition time = 1500 ms; effective time = 10 ms; number of averages = 4). Following manual skull stripping of the images, we created a linearly aligned common brain from the extracted brains using two stages of registration and then using a non-linear 168 parameter model registered each of the brains to this standard using AIR 5.2.5 (Woods et. al., 1998). Using binary masks of the individual, registered brains to generate an intersect mask, the overlapping regions of these brains were averaged to form a non-linearly warped atlas of this group of mice.
Having established a group average brain, we analyzed within-group variability as a precursor to developing between-group analyses. After transforming each of the images to aligned images, z-scores of T2 signal intensity for each voxel in each masked brain were averaged to create a group variability atlas. Preliminary examination of this atlas shows regions of higher variability in the olfactory bulb, piriform cortex and amygdaloid complex.
Supported by NIMH R01 MH65079 to TDC and NIH/NIMH R01 MH61223 to AWT.
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2004 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2004. Online.
Copyright © 2004-2025 Society for Neuroscience; all rights reserved. Permission to republish any abstract or part of any abstract in any form must be obtained in writing by SfN office prior to publication.
