Literature DB >> 28160151

Neuromelanin MRI is useful for monitoring motor complications in Parkinson's and PARK2 disease.

Taku Hatano1, Ayami Okuzumi2, Koji Kamagata3, Kensuke Daida2, Daisuke Taniguchi2, Masaaki Hori3, Hiroyo Yoshino4, Shigeki Aoki3, Nobutaka Hattori5,6.   

Abstract

Parkinson's disease (PD) is caused by the loss of dopaminergic neurons. Recently, specific T1-weighted magnetic resonance imaging (MRI) at 3 Tesla was reported to visualize neuromelanin (NM)-related contrast of dopaminergic neurons. Using NM-MRI, we analyzed whether disease severity and motor complications (MC) are associated with the degree of dopaminergic neuronal degeneration in the substantia nigra pars compacta (SNc) in patients with idiopathic PD (PD) and PARK2. We examined 27 individuals with PD, 11 with PARK2, and a control group of 18. A 3T MRI was used to obtain a modified NM-sensitive T1-weighted fast-spin echo sequence. The size of the SNc was determined as the number of pixels with signal intensity higher than background signal intensity +2 standard deviations. NM-MRI indicated that the T1 hyperintense area in the SNc in patients with PD and PARK2 was significantly smaller than that in control subjects. When compared with the PD group without MC, both PD with MC and PARK2 showed a markedly smaller size of NM-rich SNc area. Receiver operating characteristic curve analysis revealed a sensitivity of 86.96% and a specificity of 100% in discriminating between patients with and without MC (area under the curve = 0.98). Correlation analysis between the T1 hyperintense SNc area and L-dopa and L-dopa equivalent dose demonstrated a significant negative correlation. The association between a reducing SNc NM-rich area and MC with increasing dopaminergic medication dose suggests that NM-MRI findings might be a useful tool for monitoring the development of MC in PD and PARK2.

Entities:  

Keywords:  Magnetic resonance imaging; Motor complications; Neuromelanin imaging; PARK2; Parkinson’s disease

Mesh:

Substances:

Year:  2017        PMID: 28160151     DOI: 10.1007/s00702-017-1688-9

Source DB:  PubMed          Journal:  J Neural Transm (Vienna)        ISSN: 0300-9564            Impact factor:   3.575


  30 in total

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3.  The motor phenotype of Parkinson's disease in relation to age at onset.

Authors:  Mirdhu M Wickremaratchi; M Duleeka W Knipe; B S Dwarakanath Sastry; Elizabeth Morgan; Anne Jones; Rachel Salmon; Richard Weiser; Maralyn Moran; Debbie Davies; Louise Ebenezer; Sandip Raha; Neil P Robertson; Christopher C Butler; Yoav Ben-Shlomo; Huw R Morris
Journal:  Mov Disord       Date:  2011-01-12       Impact factor: 10.338

Review 4.  Pharmacological treatment of Parkinson disease: a review.

Authors:  Barbara S Connolly; Anthony E Lang
Journal:  JAMA       Date:  2014 Apr 23-30       Impact factor: 56.272

5.  Mutations in the parkin gene cause autosomal recessive juvenile parkinsonism.

Authors:  T Kitada; S Asakawa; N Hattori; H Matsumine; Y Yamamura; S Minoshima; M Yokochi; Y Mizuno; N Shimizu
Journal:  Nature       Date:  1998-04-09       Impact factor: 49.962

6.  Differentiation of early-stage parkinsonisms using neuromelanin-sensitive magnetic resonance imaging.

Authors:  Chigumi Ohtsuka; Makoto Sasaki; Kanako Konno; Kanako Kato; Junko Takahashi; Fumio Yamashita; Yasuo Terayama
Journal:  Parkinsonism Relat Disord       Date:  2014-04-14       Impact factor: 4.891

Review 7.  Role of DAT-SPECT in the diagnostic work up of parkinsonism.

Authors:  Christoph Scherfler; Johannes Schwarz; Angelo Antonini; Donald Grosset; Francesc Valldeoriola; Kenneth Marek; Wolfgang Oertel; Eduardo Tolosa; Andrew J Lees; Werner Poewe
Journal:  Mov Disord       Date:  2007-07-15       Impact factor: 10.338

8.  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

9.  Factors predictive of the development of Levodopa-induced dyskinesia and wearing-off in Parkinson's disease.

Authors:  C Warren Olanow; Karl Kieburtz; Olivier Rascol; Werner Poewe; Anthony H Schapira; Murat Emre; Helena Nissinen; Mika Leinonen; Fabrizio Stocchi
Journal:  Mov Disord       Date:  2013-04-29       Impact factor: 10.338

10.  The modern pre-levodopa era of Parkinson's disease: insights into motor complications from sub-Saharan Africa.

Authors:  Roberto Cilia; Albert Akpalu; Fred Stephen Sarfo; Momodou Cham; Marianna Amboni; Emanuele Cereda; Margherita Fabbri; Patrick Adjei; John Akassi; Alba Bonetti; Gianni Pezzoli
Journal:  Brain       Date:  2014-07-17       Impact factor: 13.501

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  10 in total

Review 1.  Neuromelanin accumulation in patients with schizophrenia: A systematic review and meta-analysis.

Authors:  Fumihiko Ueno; Yusuke Iwata; Shinichiro Nakajima; Fernando Caravaggio; Jose M Rubio; Guillermo Horga; Clifford M Cassidy; Edgardo Torres-Carmona; Vincenzo de Luca; Sakiko Tsugawa; Shiori Honda; Sho Moriguchi; Yoshihiro Noda; Philip Gerretsen; Ariel Graff-Guerrero
Journal:  Neurosci Biobehav Rev       Date:  2021-10-27       Impact factor: 9.052

Review 2.  MRI biomarkers of motor and non-motor symptoms in Parkinson's disease.

Authors:  Sephira G Ryman; Kathleen L Poston
Journal:  Parkinsonism Relat Disord       Date:  2019-10-10       Impact factor: 4.891

3.  Metabolomics-based identification of metabolic alterations in PARK2.

Authors:  Ayami Okuzumi; Taku Hatano; Shin-Ichi Ueno; Takashi Ogawa; Shinji Saiki; Akio Mori; Takahiro Koinuma; Yutaka Oji; Kei-Ichi Ishikawa; Motoki Fujimaki; Shigeto Sato; Sivapriya Ramamoorthy; Robert P Mohney; Nobutaka Hattori
Journal:  Ann Clin Transl Neurol       Date:  2019-02-21       Impact factor: 4.511

4.  Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI.

Authors:  Alice Le Berre; Koji Kamagata; Yujiro Otsuka; Christina Andica; Taku Hatano; Laetitia Saccenti; Takashi Ogawa; Haruka Takeshige-Amano; Akihiko Wada; Michimasa Suzuki; Akifumi Hagiwara; Ryusuke Irie; Masaaki Hori; Genko Oyama; Yashushi Shimo; Atsushi Umemura; Nobutaka Hattori; Shigeki Aoki
Journal:  Neuroradiology       Date:  2019-08-10       Impact factor: 2.804

5.  Reproducibility assessment of neuromelanin-sensitive magnetic resonance imaging protocols for region-of-interest and voxelwise analyses.

Authors:  Kenneth Wengler; Xiang He; Anissa Abi-Dargham; Guillermo Horga
Journal:  Neuroimage       Date:  2019-12-11       Impact factor: 6.556

6.  Neuromelanin or DaT-SPECT: which is the better marker for discriminating advanced Parkinson's disease?

Authors:  A Okuzumi; T Hatano; K Kamagata; M Hori; A Mori; Y Oji; D Taniguchi; K Daida; Y Shimo; N Yanagisawa; S Nojiri; S Aoki; N Hattori
Journal:  Eur J Neurol       Date:  2019-06-24       Impact factor: 6.089

7.  Low Pulvinar Intensity in Susceptibility-Weighted Imaging May Suggest Cognitive Worsening After Deep Brain Stimulation Therapy in Patients With Parkinson's Disease.

Authors:  Keita Matsuura; Masayuki Maeda; Masayuki Satoh; Ken-Ichi Tabei; Tomohiro Araki; Maki Umino; Hiroyuki Kajikawa; Naoko Nakamura; Hidekazu Tomimoto
Journal:  Front Neurol       Date:  2019-10-31       Impact factor: 4.003

8.  Reliability and Reproducibility of Neuromelanin-Sensitive Imaging of the Substantia Nigra: A Comparison of Three Different Sequences.

Authors:  Marieke van der Pluijm; Clifford Cassidy; Melissa Zandstra; Elon Wallert; Kora de Bruin; Jan Booij; Lieuwe de Haan; Guillermo Horga; Elsmarieke van de Giessen
Journal:  J Magn Reson Imaging       Date:  2020-10-09       Impact factor: 4.813

Review 9.  Neuromelanin detection by magnetic resonance imaging (MRI) and its promise as a biomarker for Parkinson's disease.

Authors:  David Sulzer; Clifford Cassidy; Guillermo Horga; Un Jung Kang; Stanley Fahn; Luigi Casella; Gianni Pezzoli; Jason Langley; Xiaoping P Hu; Fabio A Zucca; Ioannis U Isaias; Luigi Zecca
Journal:  NPJ Parkinsons Dis       Date:  2018-04-10

10.  Diffusion MRI Captures White Matter Microstructure Alterations in PRKN Disease.

Authors:  Takahiro Koinuma; Taku Hatano; Koji Kamagata; Christina Andica; Akio Mori; Takashi Ogawa; Haruka Takeshige-Amano; Wataru Uchida; Shinji Saiki; Ayami Okuzumi; Shin-Ichi Ueno; Yutaka Oji; Yuya Saito; Masaaki Hori; Shigeki Aoki; Nobutaka Hattori
Journal:  J Parkinsons Dis       Date:  2021       Impact factor: 5.568

  10 in total

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