The contribution of various MRI parameters to clinical and cognitive disability in multiple sclerosis

Eszter Tóth, Péter Faragó, András Király, Nikoletta Szabó, Dániel Veréb, Krisztián Kocsis, Bálint Kincses, Dániel Sandi, K. Bencsik, L. Vécsei, Zsigmond Tamás Kincses

Research output: Article

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Article number1172
JournalFrontiers in Neurology
Volume10
Issue numberJAN
DOIs
Publication statusPublished - jan. 1 2019

Fingerprint

Multiple Sclerosis
Least-Squares Analysis
Cognition
Hippocampus
Pathology
Relapsing-Remitting Multiple Sclerosis
Diffusion Magnetic Resonance Imaging
Anisotropy
Brain
Automatic Data Processing
Short-Term Memory
White Matter

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

Cite this

Tóth, E., Faragó, P., Király, A., Szabó, N., Veréb, D., Kocsis, K., ... Kincses, Z. T. (2019). The contribution of various MRI parameters to clinical and cognitive disability in multiple sclerosis. Frontiers in Neurology, 10(JAN), [1172]. https://doi.org/10.3389/fneur.2018.01172

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, K.; Vécsei, L.; Kincses, Zsigmond Tamás.

In: Frontiers in Neurology, Vol. 10, No. JAN, 1172, 01.01.2019.

Research output: Article

Tóth, E, Faragó, P, Király, A, Szabó, N, Veréb, D, Kocsis, K, Kincses, B, Sandi, D, Bencsik, K, Vécsei, L & Kincses, ZT 2019, 'The contribution of various MRI parameters to clinical and cognitive disability in multiple sclerosis', Frontiers in Neurology, vol. 10, no. JAN, 1172. https://doi.org/10.3389/fneur.2018.01172
Tóth, Eszter ; Faragó, Péter ; Király, András ; Szabó, Nikoletta ; Veréb, Dániel ; Kocsis, Krisztián ; Kincses, Bálint ; Sandi, Dániel ; Bencsik, K. ; Vécsei, L. ; Kincses, Zsigmond Tamás. / The contribution of various MRI parameters to clinical and cognitive disability in multiple sclerosis. In: Frontiers in Neurology. 2019 ; Vol. 10, No. JAN.
@article{057ab0ec6c9943648c87f10fa4079818,
title = "The contribution of various MRI parameters to clinical and cognitive disability in multiple sclerosis",
abstract = "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.",
keywords = "Atrophy, BICAMS, Cognition, Demyelination, Multiple sclerosis",
author = "Eszter T{\'o}th and P{\'e}ter Farag{\'o} and Andr{\'a}s Kir{\'a}ly and Nikoletta Szab{\'o} and D{\'a}niel Ver{\'e}b and Kriszti{\'a}n Kocsis and B{\'a}lint Kincses and D{\'a}niel Sandi and K. Bencsik and L. V{\'e}csei and Kincses, {Zsigmond Tam{\'a}s}",
year = "2019",
month = "1",
day = "1",
doi = "10.3389/fneur.2018.01172",
language = "English",
volume = "10",
journal = "Frontiers in Neurology",
issn = "1664-2295",
publisher = "Frontiers Research Foundation",
number = "JAN",

}

TY - JOUR

T1 - The contribution of various MRI parameters to clinical and cognitive disability in multiple sclerosis

AU - Tóth, Eszter

AU - Faragó, Péter

AU - Király, András

AU - Szabó, Nikoletta

AU - Veréb, Dániel

AU - Kocsis, Krisztián

AU - Kincses, Bálint

AU - Sandi, Dániel

AU - Bencsik, K.

AU - Vécsei, L.

AU - Kincses, Zsigmond Tamás

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Atrophy

KW - BICAMS

KW - Cognition

KW - Demyelination

KW - Multiple sclerosis

UR - http://www.scopus.com/inward/record.url?scp=85065436301&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85065436301&partnerID=8YFLogxK

U2 - 10.3389/fneur.2018.01172

DO - 10.3389/fneur.2018.01172

M3 - Article

AN - SCOPUS:85065436301

VL - 10

JO - Frontiers in Neurology

JF - Frontiers in Neurology

SN - 1664-2295

IS - JAN

M1 - 1172

ER -