Literature DB >> 26249218

Region-specific disturbed iron distribution in early idiopathic Parkinson's disease measured by quantitative susceptibility mapping.

Naying He1, Huawei Ling1, Bei Ding1, Juan Huang1, Yong Zhang2, Zhongping Zhang2, Chunlei Liu3,4, Kemin Chen1, Fuhua Yan1.   

Abstract

In Parkinson's disease (PD), iron elevation in specific brain regions as well as selective loss of dopaminergic neurons is a major pathologic feature. A reliable quantitative measure of iron deposition is a potential biomarker for PD and may contribute to the investigation of iron-mediated PD. The primary purpose of this study is to assess iron variations in multiple deep grey matter nuclei in early PD with a novel MRI technique, quantitative susceptibility mapping (QSM). The inter-group differences of susceptibility and R2* value in deep grey matter nuclei, namely head of caudate nucleus (CN), putamen (PUT), global pallidus (GP), substantia nigra (SN), and red nucleus (RN), and the correlations between regional iron deposition and the clinical features were explored in forty-four early PD patients and 35 gender and age-matched healthy controls. Susceptibility values were found to be elevated within bilateral SN and RN contralateral to the most affected limb in early PD compared with healthy controls (HCs). The finding of increased susceptibility in bilateral SN is consistent with work on a subgroup of patients at the earliest clinical detectable state (Hoehn and Yahr [1967]: Neurology 17:427-442; Stage I). However, increased R2* values were only seen within SN contralateral to the most affected limb in the PD group when compared with controls. Furthermore, bilateral SN magnetic susceptibility positively correlated with disease duration and UPDRS-III scores in early PD. This finding supports the potential value of QSM as a non-invasive quantitative biomarker of early PD.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  deep grey matter nuclei; early Parkinson's disease; iron deposition; magnetic resonance imaging; quantitative susceptibility mapping

Mesh:

Substances:

Year:  2015        PMID: 26249218      PMCID: PMC6869507          DOI: 10.1002/hbm.22928

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  75 in total

1.  Pooled analysis of iron-related genes in Parkinson's disease: association with transferrin.

Authors:  Shannon L Rhodes; Daniel D Buchanan; Ismaïl Ahmed; Kent D Taylor; Marie-Anne Loriot; Janet S Sinsheimer; Jeff M Bronstein; Alexis Elbaz; George D Mellick; Jerome I Rotter; Beate Ritz
Journal:  Neurobiol Dis       Date:  2013-10-08       Impact factor: 5.996

2.  Using magnetic field simulation to study susceptibility-related phase contrast in gradient echo MRI.

Authors:  Andreas Schäfer; Sam Wharton; Penny Gowland; Richard Bowtell
Journal:  Neuroimage       Date:  2009-06-08       Impact factor: 6.556

3.  Seven-Tesla magnetic resonance images of the substantia nigra in Parkinson disease.

Authors:  Dae-Hyuk Kwon; Jong-Min Kim; Se-Hong Oh; Hye-Jin Jeong; Sung-Yeon Park; Eung-Seok Oh; Je-Geun Chi; Young-Bo Kim; Beom S Jeon; Zang-Hee Cho
Journal:  Ann Neurol       Date:  2012-02       Impact factor: 10.422

4.  MRI of brain iron.

Authors:  B Drayer; P Burger; R Darwin; S Riederer; R Herfkens; G A Johnson
Journal:  AJR Am J Roentgenol       Date:  1986-07       Impact factor: 3.959

5.  MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping.

Authors:  Berkin Bilgic; Adolf Pfefferbaum; Torsten Rohlfing; Edith V Sullivan; Elfar Adalsteinsson
Journal:  Neuroimage       Date:  2011-09-08       Impact factor: 6.556

6.  Susceptibility tensor imaging.

Authors:  Chunlei Liu
Journal:  Magn Reson Med       Date:  2010-06       Impact factor: 4.668

7.  Distribution of iron in the basal ganglia and neocortex in postmortem tissue in Parkinson's disease and Alzheimer's disease.

Authors:  P D Griffiths; A R Crossman
Journal:  Dementia       Date:  1993 Mar-Apr

8.  Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study.

Authors:  Christian Langkammer; Ferdinand Schweser; Nikolaus Krebs; Andreas Deistung; Walter Goessler; Eva Scheurer; Karsten Sommer; Gernot Reishofer; Kathrin Yen; Franz Fazekas; Stefan Ropele; Jürgen R Reichenbach
Journal:  Neuroimage       Date:  2012-05-24       Impact factor: 6.556

9.  Visualization of nigrosome 1 and its loss in PD: pathoanatomical correlation and in vivo 7 T MRI.

Authors:  Anna I Blazejewska; Stefan T Schwarz; Alain Pitiot; Mary C Stephenson; James Lowe; Nin Bajaj; Richard W Bowtell; Dorothee P Auer; Penny A Gowland
Journal:  Neurology       Date:  2013-07-10       Impact factor: 9.910

Review 10.  Neuromelanin and its interaction with iron as a potential risk factor for dopaminergic neurodegeneration underlying Parkinson's disease.

Authors:  Manfred Gerlach; Kay L Double; Dorit Ben-Shachar; Luigi Zecca; Moussa B H Youdim; Peter Riederer
Journal:  Neurotox Res       Date:  2003       Impact factor: 3.978

View more
  67 in total

1.  QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field.

Authors:  Yicheng Chen; Angela Jakary; Sivakami Avadiappan; Christopher P Hess; Janine M Lupo
Journal:  Neuroimage       Date:  2019-11-21       Impact factor: 6.556

2.  Background field removal using a region adaptive kernel for quantitative susceptibility mapping of human brain.

Authors:  Jinsheng Fang; Lijun Bao; Xu Li; Peter C M van Zijl; Zhong Chen
Journal:  J Magn Reson       Date:  2017-05-10       Impact factor: 2.229

3.  Tissue segmentation: a crucial tool for quantitative MRI and visualization of anatomical structures.

Authors:  Fritz Schick
Journal:  MAGMA       Date:  2016-04       Impact factor: 2.310

4.  Longitudinal atlas for normative human brain development and aging over the lifespan using quantitative susceptibility mapping.

Authors:  Yuyao Zhang; Hongjiang Wei; Matthew J Cronin; Naying He; Fuhua Yan; Chunlei Liu
Journal:  Neuroimage       Date:  2018-01-08       Impact factor: 6.556

5.  Iron-related nigral degeneration influences functional topology mediated by striatal dysfunction in Parkinson's disease.

Authors:  Xiaojun Guan; Yuyao Zhang; Hongjiang Wei; Tao Guo; Qiaoling Zeng; Cheng Zhou; Jiaqiu Wang; Ting Gao; Min Xuan; Quanquan Gu; Xiaojun Xu; Peiyu Huang; Jiali Pu; Baorong Zhang; Chunlei Liu; Minming Zhang
Journal:  Neurobiol Aging       Date:  2018-11-22       Impact factor: 4.673

Review 6.  Region-Specific Iron Measured by MRI as a Biomarker for Parkinson's Disease.

Authors:  Xiaojun Guan; Xiaojun Xu; Minming Zhang
Journal:  Neurosci Bull       Date:  2017-05-17       Impact factor: 5.203

Review 7.  Iron metabolism and its detection through MRI in parkinsonian disorders: a systematic review.

Authors:  Sara Pietracupa; Antonio Martin-Bastida; Paola Piccini
Journal:  Neurol Sci       Date:  2017-09-02       Impact factor: 3.307

Review 8.  Can Biomarkers Help the Early Diagnosis of Parkinson's Disease?

Authors:  Weidong Le; Jie Dong; Song Li; Amos D Korczyn
Journal:  Neurosci Bull       Date:  2017-09-02       Impact factor: 5.203

9.  Altered brain iron content and deposition rate in Huntington's disease as indicated by quantitative susceptibility MRI.

Authors:  Lin Chen; Jun Hua; Christopher A Ross; Shuhui Cai; Peter C M van Zijl; Xu Li
Journal:  J Neurosci Res       Date:  2018-11-29       Impact factor: 4.164

10.  Dentate nucleus iron deposition is a potential biomarker for tremor-dominant Parkinson's disease.

Authors:  Naying He; Pei Huang; Huawei Ling; Jason Langley; Chunlei Liu; Bei Ding; Juan Huang; Hongmin Xu; Yong Zhang; Zhongping Zhang; Xiaoping Hu; Shengdi Chen; Fuhua Yan
Journal:  NMR Biomed       Date:  2016-05-18       Impact factor: 4.044

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.