Movement Disorders (revue)

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Regional Alterations of Brain Microstructure in Parkinson's Disease Using Diffusion Tensor Imaging

Identifieur interne : 000250 ( Pmc/Curation ); précédent : 000249; suivant : 000251

Regional Alterations of Brain Microstructure in Parkinson's Disease Using Diffusion Tensor Imaging

Auteurs : W. Zhan [États-Unis] ; G. A. Kang [États-Unis] ; G. A. Glass [États-Unis] ; Y. Zhang [États-Unis] ; C. Shirley [États-Unis] ; R. Millin [États-Unis] ; K. L. Possin [États-Unis] ; M. Nezamzadeh [États-Unis] ; M. W. Weiner [États-Unis] ; W. J. Marks [États-Unis] ; N. Schuff [États-Unis]

Source :

RBID : PMC:4472452

Abstract

This study tested the hypothesis that diffusion tensor imaging (DTI) can detect alteration in microscopic integrity of white matter (WM) and basal ganglia (BG) regions known to be involved in Parkinson's disease (PD) pathology. It was also hypothesized that there is an association between the DTI abnormality and PD severity and subtype. DTI at 4 Tesla was obtained in 12 PD and 20 control subjects. The DTI measures of fractional anisotropy (FA) and mean diffusivity (MD) were evaluated using both region of interest (ROI) and voxel-based methods. Movement deficits in PD subjects were assessed using Motor Subscale (Part III) of the Unified Parkinson's Disease Rating Scale (UPDRS). Subtype determination of movement deficits was derived based upon results of subjects’ UPDRS ratings. Reduced FA (p<0.05, corrected) was found in PD subjects in a number of regions, including the precentral gyrus, substantia nigra, putamen, posterior striatum, frontal WM, and in regions related to the supplementary motor areas. Reduced FA in the substantia nigra correlated (p<0.05, corrected) with increased UPDRS motor scores. Significant spatial correlations between FA alterations in putamen and other PD-affected regions were also found in the context of PD subtypes index analysis. Our data suggest that microstructural alterations detected with DTI might serve as a potential biomarker for PD.


Url:
DOI: 10.1002/mds.23917
PubMed: 21850668
PubMed Central: 4472452

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<p id="P1">This study tested the hypothesis that diffusion tensor imaging (DTI) can detect alteration in microscopic integrity of white matter (WM) and basal ganglia (BG) regions known to be involved in Parkinson's disease (PD) pathology. It was also hypothesized that there is an association between the DTI abnormality and PD severity and subtype. DTI at 4 Tesla was obtained in 12 PD and 20 control subjects. The DTI measures of fractional anisotropy (FA) and mean diffusivity (MD) were evaluated using both region of interest (ROI) and voxel-based methods. Movement deficits in PD subjects were assessed using Motor Subscale (Part III) of the Unified Parkinson's Disease Rating Scale (UPDRS). Subtype determination of movement deficits was derived based upon results of subjects’ UPDRS ratings. Reduced FA (p<0.05, corrected) was found in PD subjects in a number of regions, including the precentral gyrus, substantia nigra, putamen, posterior striatum, frontal WM, and in regions related to the supplementary motor areas. Reduced FA in the substantia nigra correlated (p<0.05, corrected) with increased UPDRS motor scores. Significant spatial correlations between FA alterations in putamen and other PD-affected regions were also found in the context of PD subtypes index analysis. Our data suggest that microstructural alterations detected with DTI might serve as a potential biomarker for PD.</p>
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Department of Radiology and Medical Imaging, Center of Imaging for Neurodegenerative Diseases, University of California, San Francisco, 4150 Clement Street, 114M, San Francisco, CA 94121, USA.</aff>
<aff id="A2">
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Parkinson's Disease Research, Education, and Clinical Center, San Francisco VA Medical Center, 4150 Clement Street, 127P, San Francisco, CA 94121, USA.</aff>
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Department of Neurology, University of California, San Francisco, CA 94143, USA</aff>
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<corresp id="CR1">
<label>*</label>
Correspondence should be addressed to: Wang Zhan, Ph.D. Department of Radiology University of California San Francisco VA Medical Center 114M 4150 Clement Street, San Francisco, CA 94121, USA Tel: 415-221-4810x6454 Fax: 415-668-2864
<email>Wang.Zhan@gmail.com</email>
</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted">
<day>14</day>
<month>5</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="epub">
<day>17</day>
<month>8</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="ppub">
<month>1</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>18</day>
<month>6</month>
<year>2015</year>
</pub-date>
<volume>27</volume>
<issue>1</issue>
<fpage>90</fpage>
<lpage>97</lpage>
<pmc-comment>elocation-id from pubmed: 10.1002/mds.23917</pmc-comment>
<abstract>
<p id="P1">This study tested the hypothesis that diffusion tensor imaging (DTI) can detect alteration in microscopic integrity of white matter (WM) and basal ganglia (BG) regions known to be involved in Parkinson's disease (PD) pathology. It was also hypothesized that there is an association between the DTI abnormality and PD severity and subtype. DTI at 4 Tesla was obtained in 12 PD and 20 control subjects. The DTI measures of fractional anisotropy (FA) and mean diffusivity (MD) were evaluated using both region of interest (ROI) and voxel-based methods. Movement deficits in PD subjects were assessed using Motor Subscale (Part III) of the Unified Parkinson's Disease Rating Scale (UPDRS). Subtype determination of movement deficits was derived based upon results of subjects’ UPDRS ratings. Reduced FA (p<0.05, corrected) was found in PD subjects in a number of regions, including the precentral gyrus, substantia nigra, putamen, posterior striatum, frontal WM, and in regions related to the supplementary motor areas. Reduced FA in the substantia nigra correlated (p<0.05, corrected) with increased UPDRS motor scores. Significant spatial correlations between FA alterations in putamen and other PD-affected regions were also found in the context of PD subtypes index analysis. Our data suggest that microstructural alterations detected with DTI might serve as a potential biomarker for PD.</p>
</abstract>
<kwd-group>
<kwd>diffusion tensor imaging</kwd>
<kwd>magnetic resonance imaging</kwd>
<kwd>Parkinson's disease</kwd>
<kwd>Subtypes</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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