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  The combination of DAT-SPECT, structural and diffusion MRI predicts clinical progression in Parkinson’s disease

Lorio, S., Fabio, S., Bertolino, A., Draganski, B., & Dukart, J. (2019). The combination of DAT-SPECT, structural and diffusion MRI predicts clinical progression in Parkinson’s disease. Frontiers in Aging Neuroscience, 11: 57. doi:10.3389/fnagi.2019.00057.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-4355-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-9FE4-9
Genre: Journal Article

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 Creators:
Lorio, Sara 1, 2, 3, Author
Fabio , Sambataro2, 4, Author
Bertolino, Alessandro 2, 5, Author
Draganski, Bogdan3, 6, Author              
Dukart, Juergen 2, 7, 8, Author
Affiliations:
1Developmental Neurosciences Programme, UCL Great Ormond Street Institute of Child Health, University College London, United Kingdom, ou_persistent22              
2Pharma Research and Early Development, F. Hoffmann-La Roche, Basel, Switzerland, ou_persistent22              
3Département des Neurosciences Cliniques, Laboratoire de Recherche en Neuroimagerie (LREN), Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
4Department of Experimental and Clinical Medical Sciences, University of Udine, Italy, ou_persistent22              
5Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari, Italy, ou_persistent22              
6Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
7Institute of Neuroscience and Medicine, Research Center Jülich, Germany, ou_persistent22              
8Institute of Systems Neuroscience, University Hospital Düsseldorf, Germany, ou_persistent22              

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Free keywords: Parkinson’s disease; Voxel-based morphometry; Voxel-based quantification; Covariance analysis; Symptoms severity
 Abstract: There is an increasing interest in identifying non-invasive biomarkers of disease severity and prognosis in idiopathic Parkinson’s disease (PD). Dopamine-transporter SPECT (DAT-SPECT), diffusion tensor imaging (DTI), and structural magnetic resonance imaging (sMRI) provide unique information about the brain’s neurotransmitter and microstructural properties. In this study, we evaluate the relative and combined capability of these imaging modalities to predict symptom severity and clinical progression in de novo PD patients. To this end, we used MRI, SPECT, and clinical data of de novo drug-naïve PD patients (n = 205, mean age 61 ± 10) and age-, sex-matched healthy controls (n = 105, mean age 58 ± 12) acquired at baseline. Moreover, we employed clinical data acquired at 1 year follow-up for PD patients with or without L-Dopa treatment in order to predict the progression symptoms severity. Voxel-based group comparisons and covariance analyses were applied to characterize baseline disease-related alterations for DAT-SPECT, DTI, and sMRI. Cortical and subcortical alterations in de novo PD patients were found in all evaluated imaging modalities, in line with previously reported midbrain-striato-cortical network alterations. The combination of these imaging alterations was reliably linked to clinical severity and disease progression at 1 year follow-up in this patient population, providing evidence for the potential use of these modalities as imaging biomarkers for disease severity and prognosis that can be integrated into clinical trials.

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Language(s): eng - English
 Dates: 2018-11-122019-02-262019-03-19
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.3389/fnagi.2019.00057
 Degree: -

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Funding organization : Michael J. Fox Foundation
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Funding organization : National Institute for Health Research Biomedical Research Centre
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Grant ID : GN2214
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Funding organization : Henry Smith Charity and Action Medical Research
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Grant ID : 32003B_159780 ; SPUM 33CM30_140332/1
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Funding organization : Swiss National Science Foundation
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Funding organization : Foundation Parkinson Switzerland
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Funding organization : Foundation Synapsis
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Funding organization : Roger De Spoelberch Foundation
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Funding organization : Partridge Foundation

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Title: Frontiers in Aging Neuroscience
  Abbreviation : Front Aging Neurosci
Source Genre: Journal
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Publ. Info: Lausanne : Frontiers Research Foundation
Pages: - Volume / Issue: 11 Sequence Number: 57 Start / End Page: - Identifier: ISSN: 1663-4365
CoNE: https://pure.mpg.de/cone/journals/resource/1663-4365