Literature DB >> 30445148

Assessment of mesoscopic properties of deep gray matter iron through a model-based simultaneous analysis of magnetic susceptibility and R2* - A pilot study in patients with multiple sclerosis and normal controls.

Yanis Taege1, Jesper Hagemeier1, Niels Bergsland1, Michael G Dwyer2, Bianca Weinstock-Guttman3, Robert Zivadinov2, Ferdinand Schweser4.   

Abstract

Most studies of brain iron relied on the effect of the iron on magnetic resonance (MR) relaxation properties, such as R2∗, and bulk tissue magnetic susceptibility, as measured by quantitative susceptibility mapping (QSM). The present study exploited the dependence of R2∗ and magnetic susceptibility on physical interactions at different length-scales to retrieve information about the tissue microenvironment, rather than the iron concentration. We introduce a method for the simultaneous analysis of brain tissue magnetic susceptibility and R2∗ that aims to isolate those biophysical mechanisms of R2∗ -contrast that are associated with the micro- and mesoscopic distribution of iron, referred to as the Iron Microstructure Coefficient (IMC). The present study hypothesized that changes in the deep gray matter (DGM) magnetic microenvironment associated with aging and pathological mechanisms of multiple sclerosis (MS), such as changes of the distribution and chemical form of the iron, manifest in quantifiable contributions to the IMC. To validate this hypothesis, we analyzed the voxel-based association between R2∗ and magnetic susceptibility in different DGM regions of 26 patients with multiple sclerosis and 33 age- and sex-matched normal controls. Values of the IMC varied significantly between anatomical regions, were reduced in the dentate and increased in the caudate of patients compared to controls, and decreased with normal aging, most strongly in caudate, globus pallidus and putamen.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain iron; Magnetic susceptibility; Microstructure; Multiple sclerosis; QSM; Relaxation rate

Mesh:

Substances:

Year:  2018        PMID: 30445148      PMCID: PMC6481304          DOI: 10.1016/j.neuroimage.2018.11.011

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


  63 in total

1.  Transverse relaxation rate enhancement caused by magnetic particulates.

Authors:  P A Hardy; R M Henkelman
Journal:  Magn Reson Imaging       Date:  1989 May-Jun       Impact factor: 2.546

2.  Toward in vivo histology: a comparison of quantitative susceptibility mapping (QSM) with magnitude-, phase-, and R2*-imaging at ultra-high magnetic field strength.

Authors:  Andreas Deistung; Andreas Schäfer; Ferdinand Schweser; Uta Biedermann; Robert Turner; Jürgen R Reichenbach
Journal:  Neuroimage       Date:  2012-10-02       Impact factor: 6.556

3.  Heterogeneous pathological processes account for thalamic degeneration in multiple sclerosis: Insights from 7 T imaging.

Authors:  Céline Louapre; Sindhuja T Govindarajan; Costanza Giannì; Nancy Madigan; Jacob A Sloane; Constantina A Treaba; Elena Herranz; Revere P Kinkel; Caterina Mainero
Journal:  Mult Scler       Date:  2017-08-14       Impact factor: 6.312

4.  Effect of normal aging on the structure of marginal division of neostriatum as measured by MR phase imaging and diffusion tensor imaging.

Authors:  Zhiye Chen; Mengqi Liu; Mengyu Liu; Jinfeng Li; Han Shan; Shuangfeng Liu; Xin Lou; Siyun Shu; Lin Ma
Journal:  J Magn Reson Imaging       Date:  2016-09-13       Impact factor: 4.813

5.  The use of power images to perform quantitative analysis on low SNR MR images.

Authors:  A J Miller; P M Joseph
Journal:  Magn Reson Imaging       Date:  1993       Impact factor: 2.546

Review 6.  Iron and multiple sclerosis.

Authors:  James M Stankiewicz; Mohit Neema; Antonia Ceccarelli
Journal:  Neurobiol Aging       Date:  2014-05-15       Impact factor: 4.673

7.  Cognitive Implications of Deep Gray Matter Iron in Multiple Sclerosis.

Authors:  E Fujiwara; J A Kmech; D Cobzas; H Sun; P Seres; G Blevins; A H Wilman
Journal:  AJNR Am J Neuroradiol       Date:  2017-02-23       Impact factor: 3.825

Review 8.  Visualizing iron in multiple sclerosis.

Authors:  Francesca Bagnato; Simon Hametner; Edward Brian Welch
Journal:  Magn Reson Imaging       Date:  2013-01-22       Impact factor: 2.546

Review 9.  Iron in multiple sclerosis: roles in neurodegeneration and repair.

Authors:  Erin Stephenson; Nabeela Nathoo; Yasamin Mahjoub; Jeff F Dunn; V Wee Yong
Journal:  Nat Rev Neurol       Date:  2014-07-08       Impact factor: 42.937

10.  Progressive change in primary progressive multiple sclerosis normal-appearing white matter: a serial diffusion magnetic resonance imaging study.

Authors:  Klaus Schmierer; Daniel R Altmann; Nadja Kassim; Hagen Kitzler; Christian M Kerskens; Claudia A Doege; Orhan Aktas; Jan D Lünemann; David H Miller; Frauke Zipp; Arno Villringer
Journal:  Mult Scler       Date:  2004-04       Impact factor: 6.312

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  3 in total

Review 1.  Cerebral Iron Deposition in Neurodegeneration.

Authors:  Petr Dusek; Tim Hofer; Jan Alexander; Per M Roos; Jan O Aaseth
Journal:  Biomolecules       Date:  2022-05-17

2.  Decreasing brain iron in multiple sclerosis: The difference between concentration and content in iron MRI.

Authors:  Ferdinand Schweser; Jesper Hagemeier; Michael G Dwyer; Niels Bergsland; Simon Hametner; Bianca Weinstock-Guttman; Robert Zivadinov
Journal:  Hum Brain Mapp       Date:  2020-12-30       Impact factor: 5.038

3.  Pathomechanisms of HIV-Associated Cerebral Small Vessel Disease: A Comprehensive Clinical and Neuroimaging Protocol and Analysis Pipeline.

Authors:  Kyle D Murray; Meera V Singh; Yuchuan Zhuang; Md Nasir Uddin; Xing Qiu; Miriam T Weber; Madalina E Tivarus; Henry Z Wang; Bogachan Sahin; Jianhui Zhong; Sanjay B Maggirwar; Giovanni Schifitto
Journal:  Front Neurol       Date:  2020-12-15       Impact factor: 4.003

  3 in total

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