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Diffusion imaging in Huntington’s disease: comprehensive review
Huntington’s disease (HD) is a monogenic disorder with 100% penetrance. With the advent of genetic testing in adults, disease-related, structural brain changes can be investigated from the earliest, premorbid stages of HD. While examining macrostructural change characterises global neuronal damage,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803908/ https://www.ncbi.nlm.nih.gov/pubmed/33033167 http://dx.doi.org/10.1136/jnnp-2020-324377 |
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author | Estevez-Fraga, Carlos Scahill, Rachael Rees, Geraint Tabrizi, Sarah J Gregory, Sarah |
author_facet | Estevez-Fraga, Carlos Scahill, Rachael Rees, Geraint Tabrizi, Sarah J Gregory, Sarah |
author_sort | Estevez-Fraga, Carlos |
collection | PubMed |
description | Huntington’s disease (HD) is a monogenic disorder with 100% penetrance. With the advent of genetic testing in adults, disease-related, structural brain changes can be investigated from the earliest, premorbid stages of HD. While examining macrostructural change characterises global neuronal damage, investigating microstructural alterations provides information regarding brain organisation and its underlying biological properties. Diffusion MRI can be used to track the progression of microstructural anomalies in HD decades prior to clinical disease onset, providing a greater understanding of neurodegeneration. Multiple approaches, including voxelwise, region of interest and tractography, have been used in HD cohorts, showing a centrifugal pattern of white matter (WM) degeneration starting from deep brain areas, which is consistent with neuropathological studies. The corpus callosum, longer WM tracts and areas that are more densely connected, in particular the sensorimotor network, also tend to be affected early during premanifest stages. Recent evidence supports the routine inclusion of diffusion analyses within clinical trials principally as an additional measure to improve understanding of treatment effects, while the advent of novel techniques such as multitissue compartment models and connectomics can help characterise the underpinnings of progressive functional decline in HD. |
format | Online Article Text |
id | pubmed-7803908 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-78039082021-01-21 Diffusion imaging in Huntington’s disease: comprehensive review Estevez-Fraga, Carlos Scahill, Rachael Rees, Geraint Tabrizi, Sarah J Gregory, Sarah J Neurol Neurosurg Psychiatry Movement Disorders Huntington’s disease (HD) is a monogenic disorder with 100% penetrance. With the advent of genetic testing in adults, disease-related, structural brain changes can be investigated from the earliest, premorbid stages of HD. While examining macrostructural change characterises global neuronal damage, investigating microstructural alterations provides information regarding brain organisation and its underlying biological properties. Diffusion MRI can be used to track the progression of microstructural anomalies in HD decades prior to clinical disease onset, providing a greater understanding of neurodegeneration. Multiple approaches, including voxelwise, region of interest and tractography, have been used in HD cohorts, showing a centrifugal pattern of white matter (WM) degeneration starting from deep brain areas, which is consistent with neuropathological studies. The corpus callosum, longer WM tracts and areas that are more densely connected, in particular the sensorimotor network, also tend to be affected early during premanifest stages. Recent evidence supports the routine inclusion of diffusion analyses within clinical trials principally as an additional measure to improve understanding of treatment effects, while the advent of novel techniques such as multitissue compartment models and connectomics can help characterise the underpinnings of progressive functional decline in HD. BMJ Publishing Group 2021-01 2020-10-08 /pmc/articles/PMC7803908/ /pubmed/33033167 http://dx.doi.org/10.1136/jnnp-2020-324377 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Movement Disorders Estevez-Fraga, Carlos Scahill, Rachael Rees, Geraint Tabrizi, Sarah J Gregory, Sarah Diffusion imaging in Huntington’s disease: comprehensive review |
title | Diffusion imaging in Huntington’s disease: comprehensive review |
title_full | Diffusion imaging in Huntington’s disease: comprehensive review |
title_fullStr | Diffusion imaging in Huntington’s disease: comprehensive review |
title_full_unstemmed | Diffusion imaging in Huntington’s disease: comprehensive review |
title_short | Diffusion imaging in Huntington’s disease: comprehensive review |
title_sort | diffusion imaging in huntington’s disease: comprehensive review |
topic | Movement Disorders |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803908/ https://www.ncbi.nlm.nih.gov/pubmed/33033167 http://dx.doi.org/10.1136/jnnp-2020-324377 |
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