Literature DB >> 31680195

Evaluation of white matter microstructure in patients with Parkinson's disease using microscopic fractional anisotropy.

Yutaka Ikenouchi1, Koji Kamagata2, Christina Andica1, Taku Hatano3, Takashi Ogawa3, Haruka Takeshige-Amano3, Kouhei Kamiya4, Akihiko Wada1, Michimasa Suzuki1, Shohei Fujita1, Akifumi Hagiwara1, Ryusuke Irie4, Masaaki Hori1, Genko Oyama3, Yashushi Shimo5, Atsushi Umemura6, Nobutaka Hattori3, Shigeki Aoki1.   

Abstract

PURPOSE: Micro fractional anisotropy (μFA) is more accurate than conventional fractional anisotropy (FA) for assessing microscopic tissue properties and can overcome limitations related to crossing white matter fibres. We compared μFA and FA for evaluating white matter changes in patients with Parkinson's disease (PD).
METHODS: We compared FA and μFA measures between 25 patients with PD and 25 age- and gender-matched healthy controls using tract-based spatial statistics (TBSS) analysis. We also examined potential correlations between changes, revealed by conventional FA or μFA, and disease duration or Unified Parkinson's Disease Rating Scale (UPDRS)-III scores.
RESULTS: Compared with healthy controls, patients with PD had significantly reduced μFA values, mainly in the anterior corona radiata (ACR). In the PD group, μFA values (primarily those from the ACR) were significantly negatively correlated with UPDRS-III motor scores. No significant changes or correlations with disease duration or UPDRS-III scores with tissue properties were detected using conventional FA.
CONCLUSION: μFA can evaluate microstructural changes that occur during white matter degeneration in patients with PD and may overcome a key limitation of FA.

Entities:  

Keywords:  Anterior corona radiata; Diffusion tensor imaging; Microscopic fractional anisotropy; Parkinson’s disease

Mesh:

Year:  2019        PMID: 31680195     DOI: 10.1007/s00234-019-02301-1

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  41 in total

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3.  Cognitive status correlates with white matter alteration in Parkinson's disease.

Authors:  Takaaki Hattori; Satoshi Orimo; Shigeki Aoki; Kenji Ito; Osamu Abe; Atsushi Amano; Ryo Sato; Kasumi Sakai; Hidehiro Mizusawa
Journal:  Hum Brain Mapp       Date:  2011-04-14       Impact factor: 5.038

4.  Pale neurites, premature α-synuclein aggregates with centripetal extension from axon collaterals.

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Journal:  Brain Pathol       Date:  2011-08-16       Impact factor: 6.508

5.  Relevance of subcortical visual pathways disruption to visual symptoms in dementia with Lewy bodies.

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Journal:  Cortex       Date:  2014-07-22       Impact factor: 4.027

6.  Estimation of the effective self-diffusion tensor from the NMR spin echo.

Authors:  P J Basser; J Mattiello; D LeBihan
Journal:  J Magn Reson B       Date:  1994-03

7.  Cognitive profile of patients with newly diagnosed Parkinson disease.

Authors:  Dino Muslimovic; Bart Post; Johannes D Speelman; Ben Schmand
Journal:  Neurology       Date:  2005-10-25       Impact factor: 9.910

8.  Altered diffusion in the frontal lobe in Parkinson disease.

Authors:  A T Karagulle Kendi; S Lehericy; M Luciana; K Ugurbil; P Tuite
Journal:  AJNR Am J Neuroradiol       Date:  2008-01-17       Impact factor: 3.825

9.  Diffusion tensor imaging of Parkinson's disease, multiple system atrophy and progressive supranuclear palsy: a tract-based spatial statistics study.

Authors:  Amanda Worker; Camilla Blain; Jozef Jarosz; K Ray Chaudhuri; Gareth J Barker; Steve C R Williams; Richard G Brown; P Nigel Leigh; Flavio Dell'Acqua; Andrew Simmons
Journal:  PLoS One       Date:  2014-11-18       Impact factor: 3.240

10.  Multi-compartment microscopic diffusion imaging.

Authors:  Enrico Kaden; Nathaniel D Kelm; Robert P Carson; Mark D Does; Daniel C Alexander
Journal:  Neuroimage       Date:  2016-06-06       Impact factor: 6.556

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  2 in total

1.  Brain White-Matter Degeneration Due to Aging and Parkinson Disease as Revealed by Double Diffusion Encoding.

Authors:  Kouhei Kamiya; Koji Kamagata; Kotaro Ogaki; Taku Hatano; Takashi Ogawa; Haruka Takeshige-Amano; Syo Murata; Christina Andica; Katsutoshi Murata; Thorsten Feiweier; Masaaki Hori; Nobutaka Hattori; Shigeki Aoki
Journal:  Front Neurosci       Date:  2020-10-15       Impact factor: 4.677

2.  Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes.

Authors:  Xinnan Li; Daisuke Sawamura; Hiroyuki Hamaguchi; Yuta Urushibata; Thorsten Feiweier; Keita Ogawa; Khin Khin Tha
Journal:  Tomography       Date:  2022-01-01
  2 in total

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