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A combined post-mortem magnetic resonance imaging and quantitative histological study of multiple sclerosis pathology

Multiple sclerosis is a chronic inflammatory neurological condition characterized by focal and diffuse neurodegeneration and demyelination throughout the central nervous system. Factors influencing the progression of pathology are poorly understood. One hypothesis is that anatomical connectivity inf...

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Autores principales: Kolasinski, James, Stagg, Charlotte J., Chance, Steven A., DeLuca, Gabriele C., Esiri, Margaret M., Chang, Eun-Hyuk, Palace, Jacqueline A., McNab, Jennifer A., Jenkinson, Mark, Miller, Karla L., Johansen-Berg, Heidi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3470716/
https://www.ncbi.nlm.nih.gov/pubmed/23065787
http://dx.doi.org/10.1093/brain/aws242
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author Kolasinski, James
Stagg, Charlotte J.
Chance, Steven A.
DeLuca, Gabriele C.
Esiri, Margaret M.
Chang, Eun-Hyuk
Palace, Jacqueline A.
McNab, Jennifer A.
Jenkinson, Mark
Miller, Karla L.
Johansen-Berg, Heidi
author_facet Kolasinski, James
Stagg, Charlotte J.
Chance, Steven A.
DeLuca, Gabriele C.
Esiri, Margaret M.
Chang, Eun-Hyuk
Palace, Jacqueline A.
McNab, Jennifer A.
Jenkinson, Mark
Miller, Karla L.
Johansen-Berg, Heidi
author_sort Kolasinski, James
collection PubMed
description Multiple sclerosis is a chronic inflammatory neurological condition characterized by focal and diffuse neurodegeneration and demyelination throughout the central nervous system. Factors influencing the progression of pathology are poorly understood. One hypothesis is that anatomical connectivity influences the spread of neurodegeneration. This predicts that measures of neurodegeneration will correlate most strongly between interconnected structures. However, such patterns have been difficult to quantify through post-mortem neuropathology or in vivo scanning alone. In this study, we used the complementary approaches of whole brain post-mortem magnetic resonance imaging and quantitative histology to assess patterns of multiple sclerosis pathology. Two thalamo-cortical projection systems were considered based on their distinct neuroanatomy and their documented involvement in multiple sclerosis: lateral geniculate nucleus to primary visual cortex and mediodorsal nucleus of the thalamus to prefrontal cortex. Within the anatomically distinct thalamo-cortical projection systems, magnetic resonance imaging derived cortical thickness was correlated significantly with both a measure of myelination in the connected tract and a measure of connected thalamic nucleus cell density. Such correlations did not exist between these markers of neurodegeneration across different thalamo-cortical systems. Magnetic resonance imaging lesion analysis depicted clearly demarcated subcortical lesions impinging on the white matter tracts of interest; however, quantitation of the extent of lesion-tract overlap failed to demonstrate any appreciable association with the severity of markers of diffuse pathology within each thalamo-cortical projection system. Diffusion-weighted magnetic resonance imaging metrics in both white matter tracts were correlated significantly with a histologically derived measure of tract myelination. These data demonstrate for the first time the relevance of functional anatomical connectivity to the spread of multiple sclerosis pathology in a ‘tract-specific’ pattern. Furthermore, the persisting relationship between metrics from post-mortem diffusion-weighted magnetic resonance imaging and histological measures from fixed tissue further validates the potential of imaging for future neuropathological studies.
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spelling pubmed-34707162012-10-15 A combined post-mortem magnetic resonance imaging and quantitative histological study of multiple sclerosis pathology Kolasinski, James Stagg, Charlotte J. Chance, Steven A. DeLuca, Gabriele C. Esiri, Margaret M. Chang, Eun-Hyuk Palace, Jacqueline A. McNab, Jennifer A. Jenkinson, Mark Miller, Karla L. Johansen-Berg, Heidi Brain Original Articles Multiple sclerosis is a chronic inflammatory neurological condition characterized by focal and diffuse neurodegeneration and demyelination throughout the central nervous system. Factors influencing the progression of pathology are poorly understood. One hypothesis is that anatomical connectivity influences the spread of neurodegeneration. This predicts that measures of neurodegeneration will correlate most strongly between interconnected structures. However, such patterns have been difficult to quantify through post-mortem neuropathology or in vivo scanning alone. In this study, we used the complementary approaches of whole brain post-mortem magnetic resonance imaging and quantitative histology to assess patterns of multiple sclerosis pathology. Two thalamo-cortical projection systems were considered based on their distinct neuroanatomy and their documented involvement in multiple sclerosis: lateral geniculate nucleus to primary visual cortex and mediodorsal nucleus of the thalamus to prefrontal cortex. Within the anatomically distinct thalamo-cortical projection systems, magnetic resonance imaging derived cortical thickness was correlated significantly with both a measure of myelination in the connected tract and a measure of connected thalamic nucleus cell density. Such correlations did not exist between these markers of neurodegeneration across different thalamo-cortical systems. Magnetic resonance imaging lesion analysis depicted clearly demarcated subcortical lesions impinging on the white matter tracts of interest; however, quantitation of the extent of lesion-tract overlap failed to demonstrate any appreciable association with the severity of markers of diffuse pathology within each thalamo-cortical projection system. Diffusion-weighted magnetic resonance imaging metrics in both white matter tracts were correlated significantly with a histologically derived measure of tract myelination. These data demonstrate for the first time the relevance of functional anatomical connectivity to the spread of multiple sclerosis pathology in a ‘tract-specific’ pattern. Furthermore, the persisting relationship between metrics from post-mortem diffusion-weighted magnetic resonance imaging and histological measures from fixed tissue further validates the potential of imaging for future neuropathological studies. Oxford University Press 2012-10 2012-10-11 /pmc/articles/PMC3470716/ /pubmed/23065787 http://dx.doi.org/10.1093/brain/aws242 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Kolasinski, James
Stagg, Charlotte J.
Chance, Steven A.
DeLuca, Gabriele C.
Esiri, Margaret M.
Chang, Eun-Hyuk
Palace, Jacqueline A.
McNab, Jennifer A.
Jenkinson, Mark
Miller, Karla L.
Johansen-Berg, Heidi
A combined post-mortem magnetic resonance imaging and quantitative histological study of multiple sclerosis pathology
title A combined post-mortem magnetic resonance imaging and quantitative histological study of multiple sclerosis pathology
title_full A combined post-mortem magnetic resonance imaging and quantitative histological study of multiple sclerosis pathology
title_fullStr A combined post-mortem magnetic resonance imaging and quantitative histological study of multiple sclerosis pathology
title_full_unstemmed A combined post-mortem magnetic resonance imaging and quantitative histological study of multiple sclerosis pathology
title_short A combined post-mortem magnetic resonance imaging and quantitative histological study of multiple sclerosis pathology
title_sort combined post-mortem magnetic resonance imaging and quantitative histological study of multiple sclerosis pathology
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3470716/
https://www.ncbi.nlm.nih.gov/pubmed/23065787
http://dx.doi.org/10.1093/brain/aws242
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