Gray/White Matter Contrast in Parkinson’s Disease-Reference-Cited by-同舟云学术

Gray/White Matter Contrast in Parkinson’s Disease

Published:2018-03-27 Issue: Volume:10 Page:
ISSN:1663-4365
Container-title:Frontiers in Aging Neuroscience
language:
Short-container-title:Front. Aging Neurosci.

Author:

Uribe Carme,Segura Barbara,Baggio Hugo C.,Abos Alexandra,Garcia-Diaz Anna I.,Campabadal Anna,Marti Maria J.,Valldeoriola Francesc,Compta Yaroslau,Bargallo Nuria,Junque Carme

Funder

Ministerio de Economàa y Competitividad

Fundació la Marató de TV3

Agència de Gestió d’Ajuts Universitaris i de Recerca

Publisher

Frontiers Media SA

Subject

Cognitive Neuroscience,Aging

Reference37 articles.

1. Advanced magnetic resonance imaging of neurodegenerative diseases;Agosta;Neurol. Sci.,2017

2. Amyloid-β positron emission tomography imaging of Alzheimer’s pathology in Parkinson’s disease dementia;Akhtar;Mov. Disord. Clin. Pract.,2016

3. The effects of changing water content, relaxation times, and tissue contrast on tissue segmentation and measures of cortical anatomy in MR images;Bansal;Magn. Reson. Imaging,2013

4. It is unclear if adjusting cortical thickness for changes in gray/white matter intensity ratio improves discrimination between normal aging, MCI, and AD;Bauer;Brain Imaging Behav.,2014

5. Cortical surface-based analysis: I. Segmentation and surface reconstruction;Dale;Neuroimage,1999

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