Gray matter atrophy patterns in multiple sclerosis: A 10-year source-based morphometry study
Open Access
- 5 November 2017
- journal article
- research article
- Published by Elsevier BV in NeuroImage: Clinical
- Vol. 17, 444-451
- https://doi.org/10.1016/j.nicl.2017.11.002
Abstract
No abstract availableKeywords
Funding Information
- Czech Ministry of Education project Progres (Q27/LF1)
- Ministry of Health of the Czech Republic (RVO-VFN 64165)
- Gedeon Richter
- Biogen Idec
- Biogen Idec
This publication has 43 references indexed in Scilit:
- Brain atrophy and lesion load predict long term disability in multiple sclerosisJournal of Neurology, Neurosurgery & Psychiatry, 2013
- A Bayesian model of shape and appearance for subcortical brain segmentationNeuroImage, 2011
- Early cognitive impairment in multiple sclerosis predicts disability outcome several years laterMultiple Sclerosis Journal, 2010
- The optimal template effect in hippocampus studies of diseased populationsNeuroImage, 2010
- Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registrationNeuroImage, 2009
- Distinct patterns of brain activity in young carriers of the APOE -ε4 alleleProceedings of the National Academy of Sciences of the United States of America, 2009
- Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inferenceNeuroImage, 2009
- Source‐based morphometry: The use of independent component analysis to identify gray matter differences with application to schizophreniaHuman Brain Mapping, 2008
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithmIEEE Transactions on Medical Imaging, 2001
- New diagnostic criteria for multiple sclerosis: Guidelines for research protocolsAnnals of Neurology, 1983