Literature DB >> 26313542

Hemisphere, gender and age-related effects on iron deposition in deep gray matter revealed by quantitative susceptibility mapping.

Nan-Jie Gong1, Chun-Sing Wong1, Edward S Hui1, Chun-Chung Chan2, Lam-Ming Leung3.   

Abstract

The purpose of this work was to investigate the effects of hemispheric location, gender and age on susceptibility value, as well as the association between susceptibility value and diffusional metrics, in deep gray matter. Iron content was estimated in vivo using quantitative susceptibility mapping. Microstructure was probed using diffusional kurtosis imaging. Regional susceptibility and diffusional metrics were measured for the putamen, caudate nucleus, globus pallidus, thalamus, substantia nigra and red nucleus in 42 healthy adults (age range 25-78 years). Susceptibility value was significantly higher in the left than the right side of the caudate nucleus (P = 0.043) and substantia nigra (P < 0.001). Women exhibited lower susceptibility values than men in the thalamus (P < 0.001) and red nucleus (P = 0.032). Significant age-related increases of susceptibility were observed in the putamen (P < 0.001), red nucleus (P < 0.001), substantia nigra (P = 0.004), caudate nucleus (P < 0.001) and globus pallidus (P = 0.017). The putamen exhibited the highest rate of iron accumulation with aging (slope of linear regression = 0.73 × 10(-3) ppm/year), which was nearly twice those in substantia nigra (slope = 0.40 × 10(-3) ppm/year) and caudate nucleus (slope = 0.39 × 10(-3) ppm/year). Significant positive correlations between the susceptibility value and diffusion measurements were observed for fractional anisotropy (P = 0.045) and mean kurtosis (P = 0.048) in the putamen without controlling for age. Neither correlation was significant after controlling for age. Hemisphere, gender and age-related differences in iron measurements were observed in deep gray matter. Notably, the putamen exhibited the highest rate of increase in susceptibility with aging. Correlations between susceptibility value and microstructural measurements were inconclusive. These findings could provide new clues for unveiling mechanisms underlying iron-related neurodegenerative diseases.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  age; diffusional kurtosis imaging; iron; magnetic susceptibility; putamen; susceptibility mapping

Mesh:

Substances:

Year:  2015        PMID: 26313542     DOI: 10.1002/nbm.3366

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  15 in total

1.  Whole brain analyses of age-related microstructural changes quantified using different diffusional magnetic resonance imaging methods.

Authors:  Miho Ota; Noriko Sato; Norihide Maikusa; Daichi Sone; Hiroshi Matsuda; Hiroshi Kunugi
Journal:  Jpn J Radiol       Date:  2017-07-26       Impact factor: 2.374

2.  Differential diagnosis of parkinsonism by a combined use of diffusion kurtosis imaging and quantitative susceptibility mapping.

Authors:  Kenji Ito; Chigumi Ohtsuka; Kunihiro Yoshioka; Hiroyuki Kameda; Suguru Yokosawa; Ryota Sato; Yasuo Terayama; Makoto Sasaki
Journal:  Neuroradiology       Date:  2017-07-08       Impact factor: 2.804

3.  Exploring the origins of echo-time-dependent quantitative susceptibility mapping (QSM) measurements in healthy tissue and cerebral microbleeds.

Authors:  Matthew J Cronin; Nian Wang; Kyle S Decker; Hongjiang Wei; Wen-Zhen Zhu; Chunlei Liu
Journal:  Neuroimage       Date:  2017-01-23       Impact factor: 6.556

4.  Differential microstructural and morphological abnormalities in mild cognitive impairment and Alzheimer's disease: Evidence from cortical and deep gray matter.

Authors:  Nan-Jie Gong; Chun-Chung Chan; Lam-Ming Leung; Chun-Sing Wong; Russell Dibb; Chunlei Liu
Journal:  Hum Brain Mapp       Date:  2017-02-08       Impact factor: 5.038

5.  Age-related magnetic susceptibility changes in deep grey matter and cerebral cortex of normal young and middle-aged adults depicted by whole brain analysis.

Authors:  Romana Burgetova; Petr Dusek; Andrea Burgetova; Adam Pudlac; Manuela Vaneckova; Dana Horakova; Jan Krasensky; Zsoka Varga; Lukas Lambert
Journal:  Quant Imaging Med Surg       Date:  2021-09

6.  Alterations in brain iron deposition with progression of late-life depression measured by magnetic resonance imaging (MRI)-based quantitative susceptibility mapping.

Authors:  Fang Wang; Ming Zhang; Yan Li; Yufei Li; Hengfen Gong; Jun Li; Yuyao Zhang; Chencheng Zhang; Fuhua Yan; Bomin Sun; Naying He; Hongjiang Wei
Journal:  Quant Imaging Med Surg       Date:  2022-07

7.  [Correlation of cardiovascular risk factors with brain iron deposition: A magnetic resonance imaging study].

Authors:  Linlin Hu; Ruiting Zhang; Shuyue Wang; Hui Hong; Peiyu Huang; Minming Zhang
Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban       Date:  2019-12-25

8.  Effects of aging on T₁, T₂*, and QSM MRI values in the subcortex.

Authors:  M C Keuken; P-L Bazin; K Backhouse; S Beekhuizen; L Himmer; A Kandola; J J Lafeber; L Prochazkova; A Trutti; A Schäfer; R Turner; B U Forstmann
Journal:  Brain Struct Funct       Date:  2017-02-06       Impact factor: 3.270

9.  Quantitative Susceptibility Mapping: Contrast Mechanisms and Clinical Applications.

Authors:  Chunlei Liu; Hongjiang Wei; Nan-Jie Gong; Matthew Cronin; Russel Dibb; Kyle Decker
Journal:  Tomography       Date:  2015-09

10.  Nigrosome 1 visibility at susceptibility weighted 7T MRI-A dependable diagnostic marker for Parkinson's disease or merely an inconsistent, age-dependent imaging finding?

Authors:  Carolin Gramsch; Iris Reuter; Oliver Kraff; Harald H Quick; Christian Tanislav; Florian Roessler; Cornelius Deuschl; Michael Forsting; Marc Schlamann
Journal:  PLoS One       Date:  2017-10-10       Impact factor: 3.240

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