Diffusion imaging of nigral alterations in early Parkinson's disease with dopaminergic deficits
ABSTRACT Background 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 diffusi...
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Published in | Movement disorders Vol. 30; no. 14; pp. 1885 - 1892 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Blackwell Publishing Ltd
01.12.2015
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0885-3185 1531-8257 1531-8257 |
DOI | 10.1002/mds.26325 |
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Abstract | ABSTRACT
Background
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.
Methods
Two hundred twenty subjects (PD = 153; control = 67) from 10 imaging sites were included. All subjects had a full neurological exam, a (123I)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.
Results
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.
Conclusions
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. © 2015 International Parkinson and Movement Disorder Society |
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AbstractList | 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.BACKGROUNDThis 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.METHODSTwo 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.RESULTSA 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.CONCLUSIONSAlthough 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. 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. Background 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. Methods Two hundred twenty subjects (PD=153; control=67) from 10 imaging sites were included. All subjects had a full neurological exam, a ( super(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. Results 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. Conclusions 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. copyright 2015 International Parkinson and Movement Disorder Society Background 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. Methods Two hundred twenty subjects (PD=153; control=67) from 10 imaging sites were included. All subjects had a full neurological exam, a (123I)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. Results 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. Conclusions 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. © 2015 International Parkinson and Movement Disorder Society ABSTRACT Background 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. Methods Two hundred twenty subjects (PD = 153; control = 67) from 10 imaging sites were included. All subjects had a full neurological exam, a (123I)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. Results 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. Conclusions 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. © 2015 International Parkinson and Movement Disorder Society |
Author | Jankovic, Joseph Schuff, Norbert Zhang, Yu Sprenger, Fabienne Seibyl, John Seppi, Klaus Mari, Zoltan Coffey, Christopher S. Knake, Susanne Tanner, Caroline M. Simuni, Tanya Factor, Stewart Mollenhauer, Brit Mendick, Susan Marek, Kenneth Ranola, Madelaine Foster, Eric D. Berg, Daniela Gitelman, Darren R. Gauss, Katharina Buckley, Shannon Hunter, Christine Poewe, Werner McCoy, Arita Rees, Linda Wu, I-Wei Wurster, Isabel |
Author_xml | – sequence: 1 givenname: Norbert surname: Schuff fullname: Schuff, Norbert email: norbert.schuff@ucsf.edu organization: Department of Veteran Affairs Medical Center, San Francisco, California, USA – sequence: 2 givenname: I-Wei surname: Wu fullname: Wu, I-Wei organization: Department of Veteran Affairs Medical Center, San Francisco, California, USA – sequence: 3 givenname: Shannon surname: Buckley fullname: Buckley, Shannon organization: Department of Veteran Affairs Medical Center, San Francisco, California, USA – sequence: 4 givenname: Eric D. surname: Foster fullname: Foster, Eric D. organization: Department of Biostatistics, College of Public Health, University of Iowa, Iowa, Iowa City, USA – sequence: 5 givenname: Christopher S. surname: Coffey fullname: Coffey, Christopher S. organization: Department of Biostatistics, College of Public Health, University of Iowa, Iowa, Iowa City, USA – sequence: 6 givenname: Darren R. surname: Gitelman fullname: Gitelman, Darren R. organization: Department of Neurology, Feinberg School of Medicine, Northwestern University, Illinois, Chicago, USA – sequence: 7 givenname: Susan surname: Mendick fullname: Mendick, Susan organization: Institute for Neurodegenerative Disorders (IND) and Molecular Neuroimaging, LLC (MNI), Connecticut, New Haven, USA – sequence: 8 givenname: John surname: Seibyl fullname: Seibyl, John organization: Institute for Neurodegenerative Disorders (IND) and Molecular Neuroimaging, LLC (MNI), Connecticut, New Haven, USA – sequence: 9 givenname: Tanya surname: Simuni fullname: Simuni, Tanya organization: Department of Neurology, Feinberg School of Medicine, Northwestern University, Illinois, Chicago, USA – sequence: 10 givenname: Yu surname: Zhang fullname: Zhang, Yu organization: Department of Veteran Affairs Medical Center, San Francisco, California, USA – sequence: 11 givenname: Joseph surname: Jankovic fullname: Jankovic, Joseph organization: Baylor College of Medicine, Texas, Houston, USA – sequence: 12 givenname: Christine surname: Hunter fullname: Hunter, Christine organization: Baylor College of Medicine, Texas, Houston, USA – sequence: 13 givenname: Caroline M. surname: Tanner fullname: Tanner, Caroline M. organization: Department of Veteran Affairs Medical Center, San Francisco, California, USA – sequence: 14 givenname: Linda surname: Rees fullname: Rees, Linda organization: Department of Neurology, University of California, CA, San Francisco, USA – sequence: 15 givenname: Stewart surname: Factor fullname: Factor, Stewart organization: Emory University, Georgia, Atlanta, USA – sequence: 16 givenname: Daniela surname: Berg fullname: Berg, Daniela organization: University of Tuebingen, Tuebingen, Germany – sequence: 17 givenname: Isabel surname: Wurster fullname: Wurster, Isabel organization: University of Tuebingen, Tuebingen, Germany – sequence: 18 givenname: Katharina surname: Gauss fullname: Gauss, Katharina organization: University of Tuebingen, Tuebingen, Germany – sequence: 19 givenname: Fabienne surname: Sprenger fullname: Sprenger, Fabienne organization: Innsbruck Medical University, Innsbruck, Austria – sequence: 20 givenname: Klaus surname: Seppi fullname: Seppi, Klaus organization: Innsbruck Medical University, Innsbruck, Austria – sequence: 21 givenname: Werner surname: Poewe fullname: Poewe, Werner organization: Innsbruck Medical University, Innsbruck, Austria – sequence: 22 givenname: Brit surname: Mollenhauer fullname: Mollenhauer, Brit organization: Paracelsus-Elena Klinik, Kassel, Germany – sequence: 23 givenname: Susanne surname: Knake fullname: Knake, Susanne organization: Paracelsus-Elena Klinik, Kassel, Germany – sequence: 24 givenname: Zoltan surname: Mari fullname: Mari, Zoltan organization: Johns Hopkins University, Maryland, Baltimore, USA – sequence: 25 givenname: Arita surname: McCoy fullname: McCoy, Arita organization: Johns Hopkins University, Maryland, Baltimore, USA – sequence: 26 givenname: Madelaine surname: Ranola fullname: Ranola, Madelaine organization: Macquarie University, Sydney, Australia – sequence: 27 givenname: Kenneth surname: Marek fullname: Marek, Kenneth organization: Institute for Neurodegenerative Disorders (IND) and Molecular Neuroimaging, LLC (MNI), Connecticut, New Haven, USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26260437$$D View this record in MEDLINE/PubMed |
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Keywords | fractional anisotropy substantia nigra dopamine neuroimaging |
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Notes | istex:9A8502569709B75BB35DEA1E92D1E182CF17CDD3 ark:/67375/WNG-HHZDGZ3F-H ArticleID:MDS26325 Relevant conflicts of interest/financial disclosures Full financial disclosures and author roles may be found in the online version of this article. Nothing to report. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
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References_xml | – reference: Akaike H. A new look at the statistical model identification. IEEE Trans Automat Contr 1974;19:716-723. – reference: Du G, Lewis MM, Sen S, et al. Imaging nigral pathology and clinical progression in Parkinson's disease. Mov Disord 2012;27:1636-1643. – reference: Cochrane CJ, Ebmeier KP. Diffusion tensor imaging in parkinsonian syndromes: a systematic review and meta-analysis. Neurology 2013;80:857-864. – reference: Menke RA, Scholz J, Miller KL, et al. MRI characteristics of the substantia nigra in Parkinson's disease: a combined quantitative T1 and DTI study. Neuroimage 2009;47:435-441. – reference: Stebbins GT, Goetz CG, Burn DJ, Jankovic J, Khoo TK, Tilley BC. How to identify tremor dominant and postural instability/gait difficulty groups with the Movement Disorder Society Unified Parkinson's Disease Rating Scale: comparison with the Unified Parkinson's Disease Rating Scale. Mov Disord 2013;28:668-670. – reference: Prakash BD, Sitoh YY, Tan LC, Au WL. Asymmetrical diffusion tensor imaging indices of the rostral substantia nigra in Parkinson's disease. Parkinsonism Relat Disord 2012;18:1029-1033. – reference: Simuni T, Caspell-Garcia C, Coffey C, et al. Can we reliably establish Parkinson disease subtypes in de novo patients: follow-up results from the PPMI study [abstract]. 18th International Congress of Parkinson's Disease and Movement Disorders; 2014;29(Suppl 1):1064. – reference: Marek K. The Parkinson Progression Marker Initiative (PPMI). Prog Neurobiol 2011;95:629-635. – reference: Hoehn MM, Yahr MD. Parkinsonism: onset, progression and mortality. Neurology 1967;17:427-442. – reference: Cosottini M, Frosini D, Pesaresi I, et al. MR imaging of the substantia nigra at 7 T enables diagnosis of Parkinson disease. Radiology 2014;271:831-838. – reference: Pierpaoli C, Jezzard P, Basser PJ, Barnett A, Di Chiro G. Diffusion tensor MR imaging of the human brain. Radiology 1996;201:637-648. – reference: Naylor MG, Cardenas VA, Tosun D, Schuff N, Weiner M, Schwartzman A. Voxelwise multivariate analysis of multimodality magnetic resonance imaging. Hum Brain Mapp 2014;35:831-846. – reference: Vaillancourt DE, Spraker MB, Prodoehl J, et al. High-resolution diffusion tensor imaging in the substantia nigra of de novo Parkinson disease. Neurology 2009;72:1378-1384. – reference: Goetz CG, Tilley BC, Shaftman SR, et al. Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov Disord 2008;23:2129-2170. – reference: Rajput AH, Pahwa R, Pahwa P, Rajput A. Prognostic significance of the onset mode in parkinsonism. Neurology 1993;43:829-830. – reference: Tuch DS, Reese TG, Wiegell MR, Wedeen VJ. Diffusion MRI of complex neural architecture. Neuron 2003;40:885-895. – reference: Schwarz ST, Abaei M, Gontu V, Morgan PS, Bajaj N, Auer DP. 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. Neuroimage Clin 2013;3:481-488. – reference: Walker Z, Jaros E, Walker RW, et al. Dementia with Lewy bodies: a comparison of clinical diagnosis, FP-CIT single photon emission computed tomography imaging and autopsy. J Neurol Neurosurg Psychiatry 2007;78:1176-1181. – reference: Boska MD, Hasan KM, Kibuule D, et al. Quantitative diffusion tensor imaging detects dopaminergic neuronal degeneration in a murine model of Parkinson's disease. Neurobiol Dis 2007;26:590-596. – reference: Zhang K, Yu C, Zhang Y, et al. Voxel-based analysis of diffusion tensor indices in the brain in patients with Parkinson's disease. Eur J Radiol 2011;77:269-273. – reference: Wedeen VJ, Hagmann P, Tseng WY, Reese TG, Weisskoff RM. Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. 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Background
This study reports the baseline characteristics of diffusion tensor imaging data in Parkinson's disease (PD) patients and healthy control... This study reports the baseline characteristics of diffusion tensor imaging data in Parkinson's disease (PD) patients and healthy control subjects from the... Background This study reports the baseline characteristics of diffusion tensor imaging data in Parkinson's disease (PD) patients and healthy control subjects... |
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SubjectTerms | Aged Diffusion Tensor Imaging Disease Progression dopamine Dopamine - metabolism Female fractional anisotropy Humans Image Processing, Computer-Assisted Male Middle Aged Movement disorders neuroimaging Neurologic Examination Parkinson Disease - metabolism Parkinson Disease - physiopathology substantia nigra Substantia Nigra - metabolism Substantia Nigra - physiopathology |
Title | Diffusion imaging of nigral alterations in early Parkinson's disease with dopaminergic deficits |
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