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Applying the D50 disease progression model to gray and white matter pathology in amyotrophic lateral sclerosis

Therapeutic management and research in Amyotrophic Laterals Sclerosis (ALS) have been limited by the substantial heterogeneity in progression and anatomical spread that are endemic of the disease. Neuroimaging biomarkers represent powerful additions to the current monitoring repertoire but have yiel...

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Autores principales: Steinbach, Robert, Batyrbekova, Meerim, Gaur, Nayana, Voss, Annika, Stubendorff, Beatrice, Mayer, Thomas E., Gaser, Christian, Witte, Otto W., Prell, Tino, Grosskreutz, Julian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940701/
https://www.ncbi.nlm.nih.gov/pubmed/31896467
http://dx.doi.org/10.1016/j.nicl.2019.102094
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author Steinbach, Robert
Batyrbekova, Meerim
Gaur, Nayana
Voss, Annika
Stubendorff, Beatrice
Mayer, Thomas E.
Gaser, Christian
Witte, Otto W.
Prell, Tino
Grosskreutz, Julian
author_facet Steinbach, Robert
Batyrbekova, Meerim
Gaur, Nayana
Voss, Annika
Stubendorff, Beatrice
Mayer, Thomas E.
Gaser, Christian
Witte, Otto W.
Prell, Tino
Grosskreutz, Julian
author_sort Steinbach, Robert
collection PubMed
description Therapeutic management and research in Amyotrophic Laterals Sclerosis (ALS) have been limited by the substantial heterogeneity in progression and anatomical spread that are endemic of the disease. Neuroimaging biomarkers represent powerful additions to the current monitoring repertoire but have yielded inconsistent associations with clinical scores like the ALS functional rating scale. The D50 disease progression model was developed to address limitations with clinical indices and the difficulty obtaining longitudinal data in ALS. It yields overall disease aggressiveness as time taken to reach halved functionality (D50); individual disease covered in distinct phases; and calculated functional state and calculated functional loss as acute descriptors of local disease activity. It greatly reduces the noise of the ALS functional rating scale and allows the comparison of highly heterogeneous disease and progression subtypes. In this study, we performed Voxel-Based Morphometry for 85 patients with ALS (60.1 ± 11.5 years, 36 female) and 62 healthy controls. Group-wise comparisons were performed separately for gray matter and white matter using ANCOVA testing with threshold-free cluster enhancement. ALS-related widespread gray and white matter density decreases were observed in the bilateral frontal and temporal lobes (p < 0.001, family-wise error corrected). We observed a progressive spread of structural alterations along the D50-derived phases, that were primarily located in frontal, temporal and occipital gray matter areas, as well as in supratentorial neuronal projections (p < 0.001 family-wise error corrected). ALS patients with higher overall disease aggressiveness (D50 < 30 months) showed a distinct pattern of supratentorial white matter density decreases relative to patients with lower aggressiveness; no significant differences were observed for gray matter density (p < 0.001 family-wise error corrected). The application of the D50 disease progression model separates measures of disease aggressiveness from disease accumulation. It revealed a strong correlation between disease phases and in-vivo measures of cerebral structural integrity. This study underscores the proposed corticofugal spread of cerebral pathology in ALS. We recommend application of the D50 model in studies linking clinical data with neuroimaging correlates.
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spelling pubmed-69407012020-01-06 Applying the D50 disease progression model to gray and white matter pathology in amyotrophic lateral sclerosis Steinbach, Robert Batyrbekova, Meerim Gaur, Nayana Voss, Annika Stubendorff, Beatrice Mayer, Thomas E. Gaser, Christian Witte, Otto W. Prell, Tino Grosskreutz, Julian Neuroimage Clin Regular Article Therapeutic management and research in Amyotrophic Laterals Sclerosis (ALS) have been limited by the substantial heterogeneity in progression and anatomical spread that are endemic of the disease. Neuroimaging biomarkers represent powerful additions to the current monitoring repertoire but have yielded inconsistent associations with clinical scores like the ALS functional rating scale. The D50 disease progression model was developed to address limitations with clinical indices and the difficulty obtaining longitudinal data in ALS. It yields overall disease aggressiveness as time taken to reach halved functionality (D50); individual disease covered in distinct phases; and calculated functional state and calculated functional loss as acute descriptors of local disease activity. It greatly reduces the noise of the ALS functional rating scale and allows the comparison of highly heterogeneous disease and progression subtypes. In this study, we performed Voxel-Based Morphometry for 85 patients with ALS (60.1 ± 11.5 years, 36 female) and 62 healthy controls. Group-wise comparisons were performed separately for gray matter and white matter using ANCOVA testing with threshold-free cluster enhancement. ALS-related widespread gray and white matter density decreases were observed in the bilateral frontal and temporal lobes (p < 0.001, family-wise error corrected). We observed a progressive spread of structural alterations along the D50-derived phases, that were primarily located in frontal, temporal and occipital gray matter areas, as well as in supratentorial neuronal projections (p < 0.001 family-wise error corrected). ALS patients with higher overall disease aggressiveness (D50 < 30 months) showed a distinct pattern of supratentorial white matter density decreases relative to patients with lower aggressiveness; no significant differences were observed for gray matter density (p < 0.001 family-wise error corrected). The application of the D50 disease progression model separates measures of disease aggressiveness from disease accumulation. It revealed a strong correlation between disease phases and in-vivo measures of cerebral structural integrity. This study underscores the proposed corticofugal spread of cerebral pathology in ALS. We recommend application of the D50 model in studies linking clinical data with neuroimaging correlates. Elsevier 2019-11-28 /pmc/articles/PMC6940701/ /pubmed/31896467 http://dx.doi.org/10.1016/j.nicl.2019.102094 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Steinbach, Robert
Batyrbekova, Meerim
Gaur, Nayana
Voss, Annika
Stubendorff, Beatrice
Mayer, Thomas E.
Gaser, Christian
Witte, Otto W.
Prell, Tino
Grosskreutz, Julian
Applying the D50 disease progression model to gray and white matter pathology in amyotrophic lateral sclerosis
title Applying the D50 disease progression model to gray and white matter pathology in amyotrophic lateral sclerosis
title_full Applying the D50 disease progression model to gray and white matter pathology in amyotrophic lateral sclerosis
title_fullStr Applying the D50 disease progression model to gray and white matter pathology in amyotrophic lateral sclerosis
title_full_unstemmed Applying the D50 disease progression model to gray and white matter pathology in amyotrophic lateral sclerosis
title_short Applying the D50 disease progression model to gray and white matter pathology in amyotrophic lateral sclerosis
title_sort applying the d50 disease progression model to gray and white matter pathology in amyotrophic lateral sclerosis
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940701/
https://www.ncbi.nlm.nih.gov/pubmed/31896467
http://dx.doi.org/10.1016/j.nicl.2019.102094
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