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Segmental alterations of the corpus callosum in motor neuron disease: A DTI and texture analysis in 575 patients

INTRODUCTION: Within the core neuroimaging signature of amyotrophic lateral sclerosis (ALS), the corpus callosum (CC) is increasingly recognized as a consistent feature. The aim of this study was to investigate the sensitivity and specificity of the microstructural segmental CC morphology, assessed...

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Autores principales: Münch, Maximilian, Müller, Hans-Peter, Behler, Anna, Ludolph, Albert C., Kassubek, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163839/
https://www.ncbi.nlm.nih.gov/pubmed/35653913
http://dx.doi.org/10.1016/j.nicl.2022.103061
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author Münch, Maximilian
Müller, Hans-Peter
Behler, Anna
Ludolph, Albert C.
Kassubek, Jan
author_facet Münch, Maximilian
Müller, Hans-Peter
Behler, Anna
Ludolph, Albert C.
Kassubek, Jan
author_sort Münch, Maximilian
collection PubMed
description INTRODUCTION: Within the core neuroimaging signature of amyotrophic lateral sclerosis (ALS), the corpus callosum (CC) is increasingly recognized as a consistent feature. The aim of this study was to investigate the sensitivity and specificity of the microstructural segmental CC morphology, assessed by diffusion tensor imaging (DTI) and high-resolution T1-weighted (T1w) imaging, in a large cohort of ALS patients including different clinical phenotypes. METHODS: In a single-centre study, 575 patients with ALS (classical phenotype, N  = 432; restricted phenotypes primary lateral sclerosis (PLS) N = 55, flail arm syndrome (FAS) N = 45, progressive bulbar palsy (PBP) N = 22, lower motor neuron disease (LMND) N = 21) and 112 healthy controls underwent multiparametric MRI, i.e. volume-rendering T1w scans and DTI. Tract-based fractional anisotropy statistics (TFAS) was applied to callosal tracts of CC areas I-V, identified from DTI data (tract-of-interest (TOI) analysis), and texture analysis was applied to T1w data. In order to further specify the callosal alterations, a support vector machine (SVM) algorithm was used to discriminate between motor neuron disease patients and controls. RESULTS: The analysis of white matter integrity revealed predominantly FA reductions for tracts of the callosal areas I, II, and III (with highest reductions in callosal area III) for all ALS patients and separately for each phenotype when compared to controls; texture analysis demonstrated significant alterations of the parameters entropy and homogeneity for ALS patients and all phenotypes for the CC areas I, II, and III (with again highest reductions in callosal area III) compared to controls. With SVM applied on multiparametric callosal parameters of area III, a separation of all ALS patients including phenotypes from controls with 72% sensitivity and 73% specificity was achieved. These results for callosal area III parameters could be improved by an SVM of six multiparametric callosal parameters of areas I, II, and III, achieving a separation of all ALS patients including phenotypes from controls with 84% sensitivity and 85% specificity. DISCUSSION: The multiparametric MRI texture and DTI analysis demonstrated substantial alterations of the frontal and central CC with most significant alterations in callosal area III (motor segment) in ALS and separately in all investigated phenotypes (PLS, FAS, PBP, LMND) in comparison to controls, while no significant differences were observed between ALS and its phenotypes. The combination of the texture and the DTI parameters in an unbiased SVM-based approach might contribute as a neuroimaging marker for the assessment of the CC in ALS, including subtypes.
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spelling pubmed-91638392022-06-05 Segmental alterations of the corpus callosum in motor neuron disease: A DTI and texture analysis in 575 patients Münch, Maximilian Müller, Hans-Peter Behler, Anna Ludolph, Albert C. Kassubek, Jan Neuroimage Clin Regular Article INTRODUCTION: Within the core neuroimaging signature of amyotrophic lateral sclerosis (ALS), the corpus callosum (CC) is increasingly recognized as a consistent feature. The aim of this study was to investigate the sensitivity and specificity of the microstructural segmental CC morphology, assessed by diffusion tensor imaging (DTI) and high-resolution T1-weighted (T1w) imaging, in a large cohort of ALS patients including different clinical phenotypes. METHODS: In a single-centre study, 575 patients with ALS (classical phenotype, N  = 432; restricted phenotypes primary lateral sclerosis (PLS) N = 55, flail arm syndrome (FAS) N = 45, progressive bulbar palsy (PBP) N = 22, lower motor neuron disease (LMND) N = 21) and 112 healthy controls underwent multiparametric MRI, i.e. volume-rendering T1w scans and DTI. Tract-based fractional anisotropy statistics (TFAS) was applied to callosal tracts of CC areas I-V, identified from DTI data (tract-of-interest (TOI) analysis), and texture analysis was applied to T1w data. In order to further specify the callosal alterations, a support vector machine (SVM) algorithm was used to discriminate between motor neuron disease patients and controls. RESULTS: The analysis of white matter integrity revealed predominantly FA reductions for tracts of the callosal areas I, II, and III (with highest reductions in callosal area III) for all ALS patients and separately for each phenotype when compared to controls; texture analysis demonstrated significant alterations of the parameters entropy and homogeneity for ALS patients and all phenotypes for the CC areas I, II, and III (with again highest reductions in callosal area III) compared to controls. With SVM applied on multiparametric callosal parameters of area III, a separation of all ALS patients including phenotypes from controls with 72% sensitivity and 73% specificity was achieved. These results for callosal area III parameters could be improved by an SVM of six multiparametric callosal parameters of areas I, II, and III, achieving a separation of all ALS patients including phenotypes from controls with 84% sensitivity and 85% specificity. DISCUSSION: The multiparametric MRI texture and DTI analysis demonstrated substantial alterations of the frontal and central CC with most significant alterations in callosal area III (motor segment) in ALS and separately in all investigated phenotypes (PLS, FAS, PBP, LMND) in comparison to controls, while no significant differences were observed between ALS and its phenotypes. The combination of the texture and the DTI parameters in an unbiased SVM-based approach might contribute as a neuroimaging marker for the assessment of the CC in ALS, including subtypes. Elsevier 2022-05-28 /pmc/articles/PMC9163839/ /pubmed/35653913 http://dx.doi.org/10.1016/j.nicl.2022.103061 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Münch, Maximilian
Müller, Hans-Peter
Behler, Anna
Ludolph, Albert C.
Kassubek, Jan
Segmental alterations of the corpus callosum in motor neuron disease: A DTI and texture analysis in 575 patients
title Segmental alterations of the corpus callosum in motor neuron disease: A DTI and texture analysis in 575 patients
title_full Segmental alterations of the corpus callosum in motor neuron disease: A DTI and texture analysis in 575 patients
title_fullStr Segmental alterations of the corpus callosum in motor neuron disease: A DTI and texture analysis in 575 patients
title_full_unstemmed Segmental alterations of the corpus callosum in motor neuron disease: A DTI and texture analysis in 575 patients
title_short Segmental alterations of the corpus callosum in motor neuron disease: A DTI and texture analysis in 575 patients
title_sort segmental alterations of the corpus callosum in motor neuron disease: a dti and texture analysis in 575 patients
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163839/
https://www.ncbi.nlm.nih.gov/pubmed/35653913
http://dx.doi.org/10.1016/j.nicl.2022.103061
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