Literature DB >> 28678440

Automated Computational Processing of 3-D MR Images of Mouse Brain for Phenotyping of Living Animals.

Christopher S Medina1, Brett Manifold-Wheeler1, Aaron Gonzales1, Elaine L Bearer1,2.   

Abstract

Magnetic resonance (MR) imaging provides a method to obtain anatomical information from the brain in vivo that is not typically available by optical imaging because of this organ's opacity. MR is nondestructive and obtains deep tissue contrast with 100-µm3 voxel resolution or better. Manganese-enhanced MRI (MEMRI) may be used to observe axonal transport and localized neural activity in the living rodent and avian brain. Such enhancement enables researchers to investigate differences in functional circuitry or neuronal activity in images of brains of different animals. Moreover, once MR images of a number of animals are aligned into a single matrix, statistical analysis can be done comparing MR intensities between different multi-animal cohorts comprising individuals from different mouse strains or different transgenic animals, or at different time points after an experimental manipulation. Although preprocessing steps for such comparisons (including skull stripping and alignment) are automated for human imaging, no such automated processing has previously been readily available for mouse or other widely used experimental animals, and most investigators use in-house custom processing. This protocol describes a stepwise method to perform such preprocessing for mouse. © 2017 by John Wiley & Sons, Inc.
Copyright © 2017 John Wiley & Sons, Inc.

Entities:  

Keywords:  computational analysis and preprocessing; magnetic resonance imaging (MRI); manganese-enhanced magnetic resonance imaging (MEMRI); mouse and rodent brain; phenotyping brain anatomy

Mesh:

Year:  2017        PMID: 28678440      PMCID: PMC6195809          DOI: 10.1002/cpmb.40

Source DB:  PubMed          Journal:  Curr Protoc Mol Biol        ISSN: 1934-3647


  70 in total

1.  Regional spatial normalization: toward an optimal target.

Authors:  P Kochunov; J L Lancaster; P Thompson; R Woods; J Mazziotta; J Hardies; P Fox
Journal:  J Comput Assist Tomogr       Date:  2001 Sep-Oct       Impact factor: 1.826

Review 2.  Magnetic resonance imaging for detection and analysis of mouse phenotypes.

Authors:  Brian J Nieman; Nicholas A Bock; Jonathon Bishop; X Josette Chen; John G Sled; Janet Rossant; R Mark Henkelman
Journal:  NMR Biomed       Date:  2005-11       Impact factor: 4.044

Review 3.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

4.  Improving lesion-symptom mapping.

Authors:  Chris Rorden; Hans-Otto Karnath; Leonardo Bonilha
Journal:  J Cogn Neurosci       Date:  2007-07       Impact factor: 3.225

5.  Ocular integrity following manganese labeling of the visual system for MRI.

Authors:  James D Lindsey; Seanna R Grob; Miriam Scadeng; Karen Duong-Polk; Robert N Weinreb
Journal:  Magn Reson Imaging       Date:  2013-03-27       Impact factor: 2.546

6.  R-flurbiprofen improves axonal transport in the Tg2576 mouse model of Alzheimer's disease as determined by MEMRI.

Authors:  Karen D B Smith; Richard Paylor; Robia G Pautler
Journal:  Magn Reson Med       Date:  2010-12-08       Impact factor: 4.668

7.  Manganese ion enhances T1-weighted MRI during brain activation: an approach to direct imaging of brain function.

Authors:  Y J Lin; A P Koretsky
Journal:  Magn Reson Med       Date:  1997-09       Impact factor: 4.668

8.  Live imaging of neuronal connections by magnetic resonance: Robust transport in the hippocampal-septal memory circuit in a mouse model of Down syndrome.

Authors:  Elaine L Bearer; Xiaowei Zhang; Russell E Jacobs
Journal:  Neuroimage       Date:  2007-05-18       Impact factor: 6.556

Review 9.  FSL.

Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
Journal:  Neuroimage       Date:  2011-09-16       Impact factor: 6.556

10.  Voxel-based morphometry in the R6/2 transgenic mouse reveals differences between genotypes not seen with manual 2D morphometry.

Authors:  S J Sawiak; N I Wood; G B Williams; A J Morton; T A Carpenter
Journal:  Neurobiol Dis       Date:  2008-10-01       Impact factor: 5.996

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  3 in total

1.  Alterations of functional circuitry in aging brain and the impact of mutated APP expression.

Authors:  Elaine L Bearer; Brett C Manifold-Wheeler; Christopher S Medina; Aaron G Gonzales; Frances L Chaves; Russell E Jacobs
Journal:  Neurobiol Aging       Date:  2018-06-28       Impact factor: 4.673

2.  Imaging the evolution acute fear: Longitudinal whole brain imaging in living mice of neural activity with MEMRI.

Authors:  Elaine L Bearer; Daniel Barto; Russell E Jacobs
Journal:  Proc Int Soc Magn Reson Med Sci Meet Exhib Int Soc Magn Reson Med Sci Meet Exhib       Date:  2019-05

3.  Decoupling the Effects of the Amyloid Precursor Protein From Amyloid-β Plaques on Axonal Transport Dynamics in the Living Brain.

Authors:  Christopher S Medina; Taylor W Uselman; Daniel R Barto; Frances Cháves; Russell E Jacobs; Elaine L Bearer
Journal:  Front Cell Neurosci       Date:  2019-12-03       Impact factor: 5.505

  3 in total

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