Journal article
Diffusion imaging of nigral alterations in early Parkinson's disease with dopaminergic deficits
Movement disorders, Vol.30(14), pp.1885-1892
12/2015
DOI: 10.1002/mds.26325
PMID: 26260437
Abstract
This study reports the baseline characteristics of diffusion tensor imaging data in Parkinson's disease (PD) patients and healthy control subjects from the Parkinson's Progression Markers Initiative. The main goals were to replicate previous findings of abnormal diffusion imaging values from the substantia nigra. in a large multicenter cohort and determine whether nigral diffusion alterations are associated with dopamine deficits.
Two hundred twenty subjects (PD = 153; control = 67) from 10 imaging sites were included. All subjects had a full neurological exam, a ((123) I)ioflupane dopamine transporter (DAT) single-photon emission computer tomography scan, and diffusion tensor imaging. Fractional anisotropy as well as radial and axial diffusivity was computed within multiple regions across the substantia nigra.
A repeated-measures analysis of variance found a marginally nonsignificant interaction between regional fractional anisotropy of the substantia nigra and disease status (P = 0.08), conflicting with an earlier study. However, a linear mixed model that included control regions in addition to the nigral regions revealed a significant interaction between regions and disease status (P = 0.002), implying a characteristic distribution of reduced fractional anisotropy across the substantia nigra in PD. Reduced fractional anisotropy in PD was also associated with diminished DAT binding ratios. Both axial and radial diffusivity were also abnormal in PD.
Although routine nigral measurements of fractional anisotropy are clinically not helpful, the findings in this study suggest that more-sophisticated diffusion imaging protocols should be used when exploring the clinical utility of this imaging modality.
Details
- Title: Subtitle
- Diffusion imaging of nigral alterations in early Parkinson's disease with dopaminergic deficits
- Creators
- Norbert Schuff - Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USAI-Wei Wu - Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USAShannon Buckley - Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USAEric D Foster - Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USAChristopher S Coffey - Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa, USADarren R Gitelman - Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USASusan Mendick - Institute for Neurodegenerative Disorders (IND) and Molecular Neuroimaging, LLC (MNI), New Haven, Connecticut, USAJohn Seibyl - Institute for Neurodegenerative Disorders (IND) and Molecular Neuroimaging, LLC (MNI), New Haven, Connecticut, USATanya Simuni - Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USAYu Zhang - Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USAJoseph Jankovic - Baylor College of Medicine, Houston, Texas, USAChristine Hunter - Baylor College of Medicine, Houston, Texas, USACaroline M Tanner - Department of Neurology, University of California, San Francisco, CA, USALinda Rees - Department of Neurology, University of California, San Francisco, CA, USAStewart Factor - Emory University, Atlanta, Georgia, USADaniela Berg - University of Tuebingen, Tuebingen, GermanyIsabel Wurster - University of Tuebingen, Tuebingen, GermanyKatharina Gauss - University of Tuebingen, Tuebingen, GermanyFabienne Sprenger - Innsbruck Medical University, Innsbruck, AustriaKlaus Seppi - Innsbruck Medical University, Innsbruck, AustriaWerner Poewe - Innsbruck Medical University, Innsbruck, AustriaBrit Mollenhauer - Paracelsus-Elena Klinik, Kassel, GermanySusanne Knake - Paracelsus-Elena Klinik, Kassel, GermanyZoltan Mari - Johns Hopkins University, Baltimore, Maryland, USAArita McCoy - Johns Hopkins University, Baltimore, Maryland, USAMadelaine Ranola - Macquarie University, Sydney, AustraliaKenneth Marek - Institute for Neurodegenerative Disorders (IND) and Molecular Neuroimaging, LLC (MNI), New Haven, Connecticut, USA
- Resource Type
- Journal article
- Publication Details
- Movement disorders, Vol.30(14), pp.1885-1892
- Publisher
- United States
- DOI
- 10.1002/mds.26325
- PMID
- 26260437
- ISSN
- 0885-3185
- eISSN
- 1531-8257
- Language
- English
- Date published
- 12/2015
- Academic Unit
- Biostatistics; College of Public Health
- Record Identifier
- 9983997446902771
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