Literature DB >> 30280267

Longitudinal Progression Markers of Parkinson's Disease: Current View on Structural Imaging.

Jing Yang1, Roxana G Burciu2,3, David E Vaillancourt4.   

Abstract

PURPOSE OF REVIEW: Advances in neuroimaging techniques pave a rich avenue for in vivo progression biomarkers, which can objectively and noninvasively assess the long-term dynamic alterations in the brain of Parkinson's disease (PD) patients. This article reviews recent progress in structural magnetic resonance imaging (MRI) tools to track disease progression in PD, and discusses specific criteria a neuroimaging tool needs to meet to be a progression biomarker of PD and the potential applications of these techniques in PD based on current evidence. RECENT
FINDINGS: Recent longitudinal studies showed that quantitative structural MRI markers derived from T1-weighted, diffusion-weighted, neuromelanin-sensitive, and iron-sensitive imaging have the potential to track disease progression in PD. However, validation of these progression biomarkers is only beginning, and more work is required for multisite validation, the sample size for use in a clinical trial, and drug-responsiveness of most of these biomarkers. At present, the most clinical trial-ready biomarker is free-water diffusion imaging of the substantia nigra and seems well established to be used in disease-modifying studies in PD. A variety of structural imaging biomarkers are promising candidates to be progression biomarkers in PD. Further studies are needed to elucidate the sensitivity, reliability, sample size, and effect of confounding factors of these progression biomarkers.

Entities:  

Keywords:  Biomarkers; Diffusion-weighted MRI; Free-water; Parkinson’s disease; Progression; Structural MRI

Mesh:

Substances:

Year:  2018        PMID: 30280267     DOI: 10.1007/s11910-018-0894-7

Source DB:  PubMed          Journal:  Curr Neurol Neurosci Rep        ISSN: 1528-4042            Impact factor:   5.081


  79 in total

1.  Diffusion tensor imaging in a rat model of Parkinson's disease after lesioning of the nigrostriatal tract.

Authors:  Nadja Van Camp; Ines Blockx; Marleen Verhoye; Cindy Casteels; Frea Coun; Alexander Leemans; Jan Sijbers; Veerle Baekelandt; Koen Van Laere; Annemie Van der Linden
Journal:  NMR Biomed       Date:  2009-08       Impact factor: 4.044

2.  Effect of scanner in longitudinal studies of brain volume changes.

Authors:  Hidemasa Takao; Naoto Hayashi; Kuni Ohtomo
Journal:  J Magn Reson Imaging       Date:  2011-06-20       Impact factor: 4.813

3.  Progression of brain atrophy in the early stages of Parkinson's disease: a longitudinal tensor-based morphometry study in de novo patients without cognitive impairment.

Authors:  Carlo Tessa; Claudio Lucetti; Marco Giannelli; Stefano Diciotti; Michele Poletti; Sabrina Danti; Filippo Baldacci; Claudio Vignali; Ubaldo Bonuccelli; Mario Mascalchi; Nicola Toschi
Journal:  Hum Brain Mapp       Date:  2014-01-22       Impact factor: 5.038

4.  Reproducibility of quantitative susceptibility mapping in the brain at two field strengths from two vendors.

Authors:  Kofi Deh; Thanh D Nguyen; Sarah Eskreis-Winkler; Martin R Prince; Pascal Spincemaille; Susan Gauthier; Ilhami Kovanlikaya; Yan Zhang; Yi Wang
Journal:  J Magn Reson Imaging       Date:  2015-05-09       Impact factor: 4.813

Review 5.  Assessment of neuroimaging techniques as biomarkers of the progression of Parkinson's disease.

Authors:  D J Brooks; K A Frey; K L Marek; D Oakes; D Paty; R Prentice; C W Shults; A J Stoessl
Journal:  Exp Neurol       Date:  2003-11       Impact factor: 5.330

6.  Voxelwise meta-analysis of gray matter anomalies in Parkinson variant of multiple system atrophy and Parkinson's disease using anatomic likelihood estimation.

Authors:  Na Shao; Jing Yang; Huifang Shang
Journal:  Neurosci Lett       Date:  2014-12-05       Impact factor: 3.046

7.  A longitudinal study of neuromelanin-sensitive magnetic resonance imaging in Parkinson's disease.

Authors:  Keita Matsuura; Masayuki Maeda; Ken-Ichi Tabei; Maki Umino; Hiroyuki Kajikawa; Masayuki Satoh; Hirotaka Kida; Hidekazu Tomimoto
Journal:  Neurosci Lett       Date:  2016-09-09       Impact factor: 3.046

8.  Progression of cortical thinning in early Parkinson's disease.

Authors:  Naroa Ibarretxe-Bilbao; Carme Junque; Barbara Segura; Hugo C Baggio; Maria J Marti; Francesc Valldeoriola; Nuria Bargallo; Eduardo Tolosa
Journal:  Mov Disord       Date:  2012-11-02       Impact factor: 10.338

9.  Diffusion tensor imaging of nigral degeneration in Parkinson's disease: A region-of-interest and voxel-based study at 3 T and systematic review with meta-analysis.

Authors:  Stefan T Schwarz; Maryam Abaei; Vamsi Gontu; Paul S Morgan; Nin Bajaj; Dorothee P Auer
Journal:  Neuroimage Clin       Date:  2013-10-14       Impact factor: 4.881

10.  Magnetic Resonance Imaging Features of the Nigrostriatal System: Biomarkers of Parkinson's Disease Stages?

Authors:  Lucie Hopes; Guillaume Grolez; Caroline Moreau; Renaud Lopes; Gilles Ryckewaert; Nicolas Carrière; Florent Auger; Charlotte Laloux; Maud Petrault; Jean-Christophe Devedjian; Regis Bordet; Luc Defebvre; Patrice Jissendi; Christine Delmaire; David Devos
Journal:  PLoS One       Date:  2016-04-01       Impact factor: 3.240

View more
  3 in total

1.  The diagnostic value of SNpc using NM-MRI in Parkinson's disease: meta-analysis.

Authors:  Xiangming Wang; Yuehui Zhang; Chen Zhu; Guangzong Li; Jie Kang; Fang Chen; Ling Yang
Journal:  Neurol Sci       Date:  2019-08-07       Impact factor: 3.307

Review 2.  The Future of Brain Imaging in Parkinson's Disease.

Authors:  Rick C Helmich; David E Vaillancourt; David J Brooks
Journal:  J Parkinsons Dis       Date:  2018       Impact factor: 5.568

3.  Altered Prefrontal Blood Flow Related With Mild Cognitive Impairment in Parkinson's Disease: A Longitudinal Study.

Authors:  Jian Wang; Wei Zhang; Ying Zhou; Jia Jia; Yuanfang Li; Kai Liu; Zheng Ye; Lirong Jin
Journal:  Front Aging Neurosci       Date:  2022-07-11       Impact factor: 5.702

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.