Literature DB >> 24269576

Quantitative magnetic susceptibility of the developing mouse brain reveals microstructural changes in the white matter.

Ioannis Argyridis1, Wei Li1, G Allan Johnson2, Chunlei Liu3.   

Abstract

Cerebral development involves a complex cascade of events which are difficult to visualize and quantify in vivo. In this study we combine information from Diffusion Tensor Imaging (DTI) and Quantitative Susceptibility Mapping (QSM) to analyze developing mouse brains at five stages up to 56days postnatal. Susceptibility maps were calculated using frequency shifts in gradient echo MR images acquired at 9.4T. The mean apparent magnetic susceptibility and magnetic susceptibility anisotropy of major white matter tracts were evaluated as a function of age. During the first two weeks, susceptibility of white matter appeared paramagnetic relative to surrounding gray matter; it then gradually became more diamagnetic. While diffusion anisotropy was already apparent and high at postnatal day 2, susceptibility anisotropy only became significant during the third week. This mismatch indicated different microstructural underpinnings for diffusion anisotropy and susceptibility anisotropy. Histological exams were also performed to evaluate myelin and iron content. It is confirmed that the main source of susceptibility contrast in WM is the myelin content. The ability to quantify the magnetic properties of white matter will provide valuable information on the architecture of the brain during development and potentially a more specific indicator for myelin degenerative diseases.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain development; Iron; Myelin; Quantitative Susceptibility Mapping (QSM); Susceptibility tensor imaging (STI)

Mesh:

Substances:

Year:  2013        PMID: 24269576      PMCID: PMC4031305          DOI: 10.1016/j.neuroimage.2013.11.026

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  37 in total

1.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

Review 2.  Imaging iron stores in the brain using magnetic resonance imaging.

Authors:  E Mark Haacke; Norman Y C Cheng; Michael J House; Qiang Liu; Jaladhar Neelavalli; Robert J Ogg; Asadullah Khan; Muhammad Ayaz; Wolff Kirsch; Andre Obenaus
Journal:  Magn Reson Imaging       Date:  2005-01       Impact factor: 2.546

3.  High-field MRI of brain cortical substructure based on signal phase.

Authors:  Jeff H Duyn; Peter van Gelderen; Tie-Qiang Li; Jacco A de Zwart; Alan P Koretsky; Masaki Fukunaga
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-22       Impact factor: 11.205

4.  High-field (9.4 T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility.

Authors:  Chunlei Liu; Wei Li; G Allan Johnson; Bing Wu
Journal:  Neuroimage       Date:  2011-02-12       Impact factor: 6.556

5.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI.

Authors:  P J Basser; C Pierpaoli
Journal:  J Magn Reson B       Date:  1996-06

6.  Morphologic phenotyping with MR microscopy: the visible mouse.

Authors:  G Allan Johnson; Gary P Cofer; Sally L Gewalt; Laurence W Hedlund
Journal:  Radiology       Date:  2002-03       Impact factor: 11.105

7.  Brain iron detected by SWI high pass filtered phase calibrated with synchrotron X-ray fluorescence.

Authors:  Karla Hopp; Bogdan F Gh Popescu; Richard P E McCrea; Sheri L Harder; Christopher A Robinson; Mark E Haacke; Ali H Rajput; Alex Rajput; Helen Nichol
Journal:  J Magn Reson Imaging       Date:  2010-06       Impact factor: 4.813

8.  Neurodevelopment of C57B/L6 mouse brain assessed by in vivo diffusion tensor imaging.

Authors:  Halima Chahboune; Laura R Ment; William B Stewart; Xiaoxian Ma; Douglas L Rothman; Fahmeed Hyder
Journal:  NMR Biomed       Date:  2007-05       Impact factor: 4.044

9.  Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging.

Authors:  Weili Zheng; Helen Nichol; Saifeng Liu; Yu-Chung N Cheng; E Mark Haacke
Journal:  Neuroimage       Date:  2013-04-13       Impact factor: 6.556

10.  The cerebrospinal fluid provides a proliferative niche for neural progenitor cells.

Authors:  Maria K Lehtinen; Mauro W Zappaterra; Xi Chen; Yawei J Yang; Anthony D Hill; Melody Lun; Thomas Maynard; Dilenny Gonzalez; Seonhee Kim; Ping Ye; A Joseph D'Ercole; Eric T Wong; Anthony S LaMantia; Christopher A Walsh
Journal:  Neuron       Date:  2011-03-10       Impact factor: 17.173

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  20 in total

Review 1.  Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain.

Authors:  Chunlei Liu; Wei Li; Karen A Tong; Kristen W Yeom; Samuel Kuzminski
Journal:  J Magn Reson Imaging       Date:  2014-10-01       Impact factor: 4.813

2.  On the influence of zero-padding on the nonlinear operations in Quantitative Susceptibility Mapping.

Authors:  Sarah Eskreis-Winkler; Dong Zhou; Tian Liu; Ajay Gupta; Susan A Gauthier; Yi Wang; Pascal Spincemaille
Journal:  Magn Reson Imaging       Date:  2016-08-29       Impact factor: 2.546

3.  A method for estimating and removing streaking artifacts in quantitative susceptibility mapping.

Authors:  Wei Li; Nian Wang; Fang Yu; Hui Han; Wei Cao; Rebecca Romero; Bundhit Tantiwongkosi; Timothy Q Duong; Chunlei Liu
Journal:  Neuroimage       Date:  2014-12-20       Impact factor: 6.556

4.  Effects of intraventricular hemorrhage on white matter microstructural changes at term and early developmental outcomes in infants born very preterm.

Authors:  Weihong Yuan; Leanne Tamm; Karen Harpster; Mekibib Altaye; Venkata Sita Priyanka Illapani; Nehal A Parikh
Journal:  Neuroradiology       Date:  2021-04-08       Impact factor: 2.804

5.  Prenatal alcohol exposure reduces magnetic susceptibility contrast and anisotropy in the white matter of mouse brains.

Authors:  Wei Cao; Wei Li; Hui Han; Shonagh K O'Leary-Moore; Kathleen K Sulik; G Allan Johnson; Chunlei Liu
Journal:  Neuroimage       Date:  2014-08-28       Impact factor: 6.556

Review 6.  Susceptibility tensor imaging (STI) of the brain.

Authors:  Wei Li; Chunlei Liu; Timothy Q Duong; Peter C M van Zijl; Xu Li
Journal:  NMR Biomed       Date:  2016-04-27       Impact factor: 4.044

7.  Imaging whole-brain cytoarchitecture of mouse with MRI-based quantitative susceptibility mapping.

Authors:  Hongjiang Wei; Luke Xie; Russell Dibb; Wei Li; Kyle Decker; Yuyao Zhang; G Allan Johnson; Chunlei Liu
Journal:  Neuroimage       Date:  2016-05-12       Impact factor: 6.556

8.  Single-step quantitative susceptibility mapping with variational penalties.

Authors:  Itthi Chatnuntawech; Patrick McDaniel; Stephen F Cauley; Borjan A Gagoski; Christian Langkammer; Adrian Martin; P Ellen Grant; Lawrence L Wald; Kawin Setsompop; Elfar Adalsteinsson; Berkin Bilgic
Journal:  NMR Biomed       Date:  2016-06-22       Impact factor: 4.044

9.  Spatiotemporal changes in diffusion, T2 and susceptibility of white matter following mild traumatic brain injury.

Authors:  Wei Li; Justin Alexander Long; Lora Watts; Qiang Shen; Yichu Liu; Zhao Jiang; Timothy Q Duong
Journal:  NMR Biomed       Date:  2016-05-05       Impact factor: 4.044

10.  [Quantitative magnetic resonance imaging of brain iron deposition: comparison between quantitative susceptibility mapping and transverse relaxation rate (R2*) mapping].

Authors:  Ji-Jing Guan; Yan-Qiu Feng
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-03-20
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