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Mapping track density changes in nigrostriatal and extranigral pathways in Parkinson's disease()
In Parkinson's disease (PD) the demonstration of neuropathological disturbances in nigrostriatal and extranigral brain pathways using magnetic resonance imaging remains a challenge. Here, we applied a novel diffusion-weighted imaging approach—track density imaging (TDI). Twenty-seven non-dement...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4121087/ https://www.ncbi.nlm.nih.gov/pubmed/24956065 http://dx.doi.org/10.1016/j.neuroimage.2014.06.033 |
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author | Ziegler, Erik Rouillard, Maud André, Elodie Coolen, Tim Stender, Johan Balteau, Evelyne Phillips, Christophe Garraux, Gaëtan |
author_facet | Ziegler, Erik Rouillard, Maud André, Elodie Coolen, Tim Stender, Johan Balteau, Evelyne Phillips, Christophe Garraux, Gaëtan |
author_sort | Ziegler, Erik |
collection | PubMed |
description | In Parkinson's disease (PD) the demonstration of neuropathological disturbances in nigrostriatal and extranigral brain pathways using magnetic resonance imaging remains a challenge. Here, we applied a novel diffusion-weighted imaging approach—track density imaging (TDI). Twenty-seven non-demented Parkinson's patients (mean disease duration: 5 years, mean score on the Hoehn & Yahr scale = 1.5) were compared with 26 elderly controls matched for age, sex, and education level. Track density images were created by sampling each subject's spatially normalized fiber tracks in 1 mm isotropic intervals and counting the fibers that passed through each voxel. Whole-brain voxel-based analysis was performed and significance was assessed with permutation testing. Statistically significant increases in track density were found in the Parkinson's patients, relative to controls. Clusters were distributed in disease-relevant areas including motor, cognitive, and limbic networks. From the lower medulla to the diencephalon and striatum, clusters encompassed the known location of the locus coeruleus and pedunculopontine nucleus in the pons, and from the substantia nigra up to medial aspects of the posterior putamen, bilaterally. The results identified in brainstem and nigrostriatal pathways show a large overlap with the known distribution of neuropathological changes in non-demented PD patients. Our results also support an early involvement of limbic and cognitive networks in Parkinson's disease. |
format | Online Article Text |
id | pubmed-4121087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Academic Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-41210872014-10-01 Mapping track density changes in nigrostriatal and extranigral pathways in Parkinson's disease() Ziegler, Erik Rouillard, Maud André, Elodie Coolen, Tim Stender, Johan Balteau, Evelyne Phillips, Christophe Garraux, Gaëtan Neuroimage Article In Parkinson's disease (PD) the demonstration of neuropathological disturbances in nigrostriatal and extranigral brain pathways using magnetic resonance imaging remains a challenge. Here, we applied a novel diffusion-weighted imaging approach—track density imaging (TDI). Twenty-seven non-demented Parkinson's patients (mean disease duration: 5 years, mean score on the Hoehn & Yahr scale = 1.5) were compared with 26 elderly controls matched for age, sex, and education level. Track density images were created by sampling each subject's spatially normalized fiber tracks in 1 mm isotropic intervals and counting the fibers that passed through each voxel. Whole-brain voxel-based analysis was performed and significance was assessed with permutation testing. Statistically significant increases in track density were found in the Parkinson's patients, relative to controls. Clusters were distributed in disease-relevant areas including motor, cognitive, and limbic networks. From the lower medulla to the diencephalon and striatum, clusters encompassed the known location of the locus coeruleus and pedunculopontine nucleus in the pons, and from the substantia nigra up to medial aspects of the posterior putamen, bilaterally. The results identified in brainstem and nigrostriatal pathways show a large overlap with the known distribution of neuropathological changes in non-demented PD patients. Our results also support an early involvement of limbic and cognitive networks in Parkinson's disease. Academic Press 2014-10-01 /pmc/articles/PMC4121087/ /pubmed/24956065 http://dx.doi.org/10.1016/j.neuroimage.2014.06.033 Text en © 2014 Elsevier Inc. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Ziegler, Erik Rouillard, Maud André, Elodie Coolen, Tim Stender, Johan Balteau, Evelyne Phillips, Christophe Garraux, Gaëtan Mapping track density changes in nigrostriatal and extranigral pathways in Parkinson's disease() |
title | Mapping track density changes in nigrostriatal and extranigral pathways in Parkinson's disease() |
title_full | Mapping track density changes in nigrostriatal and extranigral pathways in Parkinson's disease() |
title_fullStr | Mapping track density changes in nigrostriatal and extranigral pathways in Parkinson's disease() |
title_full_unstemmed | Mapping track density changes in nigrostriatal and extranigral pathways in Parkinson's disease() |
title_short | Mapping track density changes in nigrostriatal and extranigral pathways in Parkinson's disease() |
title_sort | mapping track density changes in nigrostriatal and extranigral pathways in parkinson's disease() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4121087/ https://www.ncbi.nlm.nih.gov/pubmed/24956065 http://dx.doi.org/10.1016/j.neuroimage.2014.06.033 |
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