Cargando…
The Contribution of Various MRI Parameters to Clinical and Cognitive Disability in Multiple Sclerosis
Next to the disseminated clinical symptoms, cognitive dysfunctions are common features of multiple sclerosis (MS). Over the recent years several different MRI measures became available representing the various features of the pathology, but the contribution to various clinical and cognitive function...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6351478/ https://www.ncbi.nlm.nih.gov/pubmed/30728801 http://dx.doi.org/10.3389/fneur.2018.01172 |
_version_ | 1783390578569904128 |
---|---|
author | Tóth, Eszter Faragó, Péter Király, András Szabó, Nikoletta Veréb, Dániel Kocsis, Krisztián Kincses, Bálint Sandi, Dániel Bencsik, Krisztina Vécsei, László Kincses, Zsigmond Tamás |
author_facet | Tóth, Eszter Faragó, Péter Király, András Szabó, Nikoletta Veréb, Dániel Kocsis, Krisztián Kincses, Bálint Sandi, Dániel Bencsik, Krisztina Vécsei, László Kincses, Zsigmond Tamás |
author_sort | Tóth, Eszter |
collection | PubMed |
description | Next to the disseminated clinical symptoms, cognitive dysfunctions are common features of multiple sclerosis (MS). Over the recent years several different MRI measures became available representing the various features of the pathology, but the contribution to various clinical and cognitive functions is not yet fully understood. In this multiparametric MRI study we set out to identify the set of parameters that best predict the clinical and cognitive disability in MS. High resolution T1 weighted structural and high angular resolution diffusion MRI images were measured in 53 patients with relapsing remitting MS and 53 healthy controls. Clinical disability was inflicted by EDSS and cognitive functions were evaluated with the BICAMS tests. The contribution of lesion load, partial brain, white matter, gray matter and subcortical volumes as well as the diffusion parameters in the area of the lesions and the normal appearing white matter were examined by model free, partial least square (PLS) approach. Significance of the predictors was tested with Variable Importance in the Projection (VIP) score and 1 was used for threshold of significance. The PLS analysis indicated that the axial diffusivity of the NAWM contributed the most to the clinical disability (VIP score: 1.979). For the visuo-spatial working memory the most critical contributor was the size of the bilateral hippocampi (VIP scores: 1.183 and 1.2 left and right respectively). For the verbal memory the best predictors were the size of the right hippocampus (VIP score: 1.972), lesion load (VIP score: 1.274) and the partial brain volume (VIP score: 1.119). In case of the information processing speed the most significant contribution was from the diffusion parameters (fractional anisotropy, mean and radial diffusivity, VIP scores: 1.615, 1.321 respectively) of the normal appearing white matter. Our results indicate that various MRI measurable factors of MS pathology contribute differently to clinical and cognitive disability. These results point out the importance of the volumetry of the subcortical structures and the diffusion measures of the white matter in understanding the disability progression. |
format | Online Article Text |
id | pubmed-6351478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63514782019-02-06 The Contribution of Various MRI Parameters to Clinical and Cognitive Disability in Multiple Sclerosis Tóth, Eszter Faragó, Péter Király, András Szabó, Nikoletta Veréb, Dániel Kocsis, Krisztián Kincses, Bálint Sandi, Dániel Bencsik, Krisztina Vécsei, László Kincses, Zsigmond Tamás Front Neurol Neurology Next to the disseminated clinical symptoms, cognitive dysfunctions are common features of multiple sclerosis (MS). Over the recent years several different MRI measures became available representing the various features of the pathology, but the contribution to various clinical and cognitive functions is not yet fully understood. In this multiparametric MRI study we set out to identify the set of parameters that best predict the clinical and cognitive disability in MS. High resolution T1 weighted structural and high angular resolution diffusion MRI images were measured in 53 patients with relapsing remitting MS and 53 healthy controls. Clinical disability was inflicted by EDSS and cognitive functions were evaluated with the BICAMS tests. The contribution of lesion load, partial brain, white matter, gray matter and subcortical volumes as well as the diffusion parameters in the area of the lesions and the normal appearing white matter were examined by model free, partial least square (PLS) approach. Significance of the predictors was tested with Variable Importance in the Projection (VIP) score and 1 was used for threshold of significance. The PLS analysis indicated that the axial diffusivity of the NAWM contributed the most to the clinical disability (VIP score: 1.979). For the visuo-spatial working memory the most critical contributor was the size of the bilateral hippocampi (VIP scores: 1.183 and 1.2 left and right respectively). For the verbal memory the best predictors were the size of the right hippocampus (VIP score: 1.972), lesion load (VIP score: 1.274) and the partial brain volume (VIP score: 1.119). In case of the information processing speed the most significant contribution was from the diffusion parameters (fractional anisotropy, mean and radial diffusivity, VIP scores: 1.615, 1.321 respectively) of the normal appearing white matter. Our results indicate that various MRI measurable factors of MS pathology contribute differently to clinical and cognitive disability. These results point out the importance of the volumetry of the subcortical structures and the diffusion measures of the white matter in understanding the disability progression. Frontiers Media S.A. 2019-01-23 /pmc/articles/PMC6351478/ /pubmed/30728801 http://dx.doi.org/10.3389/fneur.2018.01172 Text en Copyright © 2019 Tóth, Faragó, Király, Szabó, Veréb, Kocsis, Kincses, Sandi, Bencsik, Vécsei and Kincses. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Tóth, Eszter Faragó, Péter Király, András Szabó, Nikoletta Veréb, Dániel Kocsis, Krisztián Kincses, Bálint Sandi, Dániel Bencsik, Krisztina Vécsei, László Kincses, Zsigmond Tamás The Contribution of Various MRI Parameters to Clinical and Cognitive Disability in Multiple Sclerosis |
title | The Contribution of Various MRI Parameters to Clinical and Cognitive Disability in Multiple Sclerosis |
title_full | The Contribution of Various MRI Parameters to Clinical and Cognitive Disability in Multiple Sclerosis |
title_fullStr | The Contribution of Various MRI Parameters to Clinical and Cognitive Disability in Multiple Sclerosis |
title_full_unstemmed | The Contribution of Various MRI Parameters to Clinical and Cognitive Disability in Multiple Sclerosis |
title_short | The Contribution of Various MRI Parameters to Clinical and Cognitive Disability in Multiple Sclerosis |
title_sort | contribution of various mri parameters to clinical and cognitive disability in multiple sclerosis |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6351478/ https://www.ncbi.nlm.nih.gov/pubmed/30728801 http://dx.doi.org/10.3389/fneur.2018.01172 |
work_keys_str_mv | AT totheszter thecontributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT faragopeter thecontributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT kiralyandras thecontributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT szabonikoletta thecontributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT verebdaniel thecontributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT kocsiskrisztian thecontributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT kincsesbalint thecontributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT sandidaniel thecontributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT bencsikkrisztina thecontributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT vecseilaszlo thecontributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT kincseszsigmondtamas thecontributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT totheszter contributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT faragopeter contributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT kiralyandras contributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT szabonikoletta contributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT verebdaniel contributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT kocsiskrisztian contributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT kincsesbalint contributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT sandidaniel contributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT bencsikkrisztina contributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT vecseilaszlo contributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis AT kincseszsigmondtamas contributionofvariousmriparameterstoclinicalandcognitivedisabilityinmultiplesclerosis |