Literature DB >> 32676370

The association of myelination in the internal capsule with iron deposition in the basal ganglia in macaques: a magnetic resonance imaging study.

Run Pu1, Zhe Wu1,2, Wenwen Yu3,4, Hongjian He1, Zuofu Zhou5, Zheng Wang3,4,6, Jianhui Zhong1,7.   

Abstract

BACKGROUND: Iron plays a vital role in myelin synthesis and maintenance. A tight association between iron concentration and myelin content has been demonstrated in local brain regions; however, whether such a relationship exists between distant brain regions that are anatomically connected is largely unknown.
METHODS: We conducted an in vivo measurement of iron and myelin content in the brains of 8 young (mean age: 7.7 years) and 8 old (mean age: 24.7 years) macaques by integrating two MRI-based techniques: quantitative susceptibility mapping (QSM) and myelin water fraction (MWF) imaging. We examined the relationship between iron deposition in components of the basal ganglia (BG), and the myelin content of the BG-connecting fiber tract internal capsule (IC) and four more white matter (WM) structures, including the optic tract, and the genu, body, and splenium of the corpus callosum, which are anatomically separate from the BG.
RESULTS: Spearman's correlation analysis revealed a moderate to high (r=0.528-0.808, P<0.05) positive correlation between the magnetic susceptibility of the BG and the MWF of anatomically connected IC structures during myelin production and maintenance, but little significant correlation was found between the susceptibility of the BG and the MWF of WM structures not anatomically connected to the BG.
CONCLUSIONS: These results advance the understanding of the relationship between iron and myelin, and suggest that future studies should consider the impact that iron concentration in the BG has on the myelination of WM structures that are anatomically connected to the BG. 2020 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Iron; MRI; basal ganglia (BG); internal capsule (IC); macaque; myelin

Year:  2020        PMID: 32676370      PMCID: PMC7358421          DOI: 10.21037/qims-19-1014

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  50 in total

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2.  Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range.

Authors:  Hongjiang Wei; Russell Dibb; Yan Zhou; Yawen Sun; Jianrong Xu; Nian Wang; Chunlei Liu
Journal:  NMR Biomed       Date:  2015-08-27       Impact factor: 4.044

3.  Whole brain susceptibility mapping using compressed sensing.

Authors:  Bing Wu; Wei Li; Arnaud Guidon; Chunlei Liu
Journal:  Magn Reson Med       Date:  2011-06-10       Impact factor: 4.668

4.  Myelin and iron concentration in the human brain: a quantitative study of MRI contrast.

Authors:  Carsten Stüber; Markus Morawski; Andreas Schäfer; Christian Labadie; Miriam Wähnert; Christoph Leuze; Markus Streicher; Nirav Barapatre; Katja Reimann; Stefan Geyer; Daniel Spemann; Robert Turner
Journal:  Neuroimage       Date:  2014-03-06       Impact factor: 6.556

5.  In vivo visualization of myelin water in brain by magnetic resonance.

Authors:  A MacKay; K Whittall; J Adler; D Li; D Paty; D Graeb
Journal:  Magn Reson Med       Date:  1994-06       Impact factor: 4.668

6.  Fast multislice mapping of the myelin water fraction using multicompartment analysis of T2* decay at 3T: a preliminary postmortem study.

Authors:  Yiping P Du; Renxin Chu; Dosik Hwang; Mark S Brown; Bette K Kleinschmidt-DeMasters; Debra Singel; Jack H Simon
Journal:  Magn Reson Med       Date:  2007-11       Impact factor: 4.668

7.  The influence of brain iron and myelin on magnetic susceptibility and effective transverse relaxation - A biochemical and histological validation study.

Authors:  Simon Hametner; Verena Endmayr; Andreas Deistung; Pilar Palmrich; Max Prihoda; Evelin Haimburger; Christian Menard; Xiang Feng; Thomas Haider; Marianne Leisser; Ulrike Köck; Alexandra Kaider; Romana Höftberger; Simon Robinson; Jürgen R Reichenbach; Hans Lassmann; Hannes Traxler; Siegfried Trattnig; Günther Grabner
Journal:  Neuroimage       Date:  2018-06-15       Impact factor: 6.556

8.  Axonal iron transport in the brain modulates anxiety-related behaviors.

Authors:  Zhuo Wang; Yuan-Ning Zeng; Peng Yang; Li-Qiang Jin; Wen-Chao Xiong; Min-Zhen Zhu; Jun-Zhe Zhang; Xiao He; Xin-Hong Zhu
Journal:  Nat Chem Biol       Date:  2019-10-07       Impact factor: 15.040

9.  Brain iron accumulation affects myelin-related molecular systems implicated in a rare neurogenetic disease family with neuropsychiatric features.

Authors:  M Heidari; D M Johnstone; B Bassett; R M Graham; A C G Chua; M J House; J F Collingwood; C Bettencourt; H Houlden; M Ryten; J K Olynyk; D Trinder; E A Milward
Journal:  Mol Psychiatry       Date:  2016-01-05       Impact factor: 15.992

10.  Age-Related Measurements of the Myelin Water Fraction derived from 3D multi-echo GRASE reflect Myelin Content of the Cerebral White Matter.

Authors:  Tobias D Faizy; Dushyant Kumar; Gabriel Broocks; Christian Thaler; Fabian Flottmann; Hannes Leischner; Daniel Kutzner; Simon Hewera; Dominik Dotzauer; Jan-Patrick Stellmann; Ravinder Reddy; Jens Fiehler; Jan Sedlacik; Susanne Gellißen
Journal:  Sci Rep       Date:  2018-10-09       Impact factor: 4.379

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  4 in total

Review 1.  Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder?

Authors:  Farzaneh Nikparast; Zohreh Ganji; Hoda Zare
Journal:  BMC Neurosci       Date:  2022-07-28       Impact factor: 3.264

2.  Altered structural covariance and functional connectivity of the insula in patients with Crohn's disease.

Authors:  Shuming Zhang; Fenrong Chen; Jiayu Wu; Chengxiang Liu; Guang Yang; Ruiqing Piao; Bowen Geng; Ke Xu; Peng Liu
Journal:  Quant Imaging Med Surg       Date:  2022-02

Review 3.  Brain pathological changes during neurodegenerative diseases and their identification methods: How does QSM perform in detecting this process?

Authors:  Farzaneh Nikparast; Zohreh Ganji; Mohammad Danesh Doust; Reyhane Faraji; Hoda Zare
Journal:  Insights Imaging       Date:  2022-04-13

4.  Investigation of the association between cerebral iron content and myelin content in normative aging using quantitative magnetic resonance neuroimaging.

Authors:  Nikkita Khattar; Curtis Triebswetter; Matthew Kiely; Luigi Ferrucci; Susan M Resnick; Richard G Spencer; Mustapha Bouhrara
Journal:  Neuroimage       Date:  2021-06-15       Impact factor: 7.400

  4 in total

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