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Quantitative T2 mapping of white matter: applications for ageing and cognitive decline
In MRI, the coherence lifetime T2 is sensitive to the magnetic environment imposed by tissue microstructure and biochemistry in vivo. Here we explore the possibility that the use of T2 relaxometry may provide information complementary to that provided by diffusion tensor imaging (DTI) in ageing of h...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOP Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390949/ https://www.ncbi.nlm.nih.gov/pubmed/27384985 http://dx.doi.org/10.1088/0031-9155/61/15/5587 |
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author | Knight, Michael J McCann, Bryony Tsivos, Demitra Dillon, Serena Coulthard, Elizabeth Kauppinen, Risto A |
author_facet | Knight, Michael J McCann, Bryony Tsivos, Demitra Dillon, Serena Coulthard, Elizabeth Kauppinen, Risto A |
author_sort | Knight, Michael J |
collection | PubMed |
description | In MRI, the coherence lifetime T2 is sensitive to the magnetic environment imposed by tissue microstructure and biochemistry in vivo. Here we explore the possibility that the use of T2 relaxometry may provide information complementary to that provided by diffusion tensor imaging (DTI) in ageing of healthy controls (HC), Alzheimer’s disease (AD) and mild cognitive impairment (MCI). T2 and diffusion MRI metrics were quantified in HC and patients with MCI and mild AD using multi-echo MRI and DTI. We used tract-based spatial statistics (TBSS) to evaluate quantitative MRI parameters in white matter (WM). A prolonged T2 in WM was associated with AD, and able to distinguish AD from MCI, and AD from HC. Shorter WM T2 was associated with better cognition and younger age in general. In no case was a reduction in T2 associated with poorer cognition. We also applied principal component analysis, showing that WM volume changes independently of T2, MRI diffusion indices and cognitive performance indices. Our data add to the evidence that age-related and AD-related decline in cognition is in part attributable to WM tissue state, and much less to WM quantity. These observations suggest that WM is involved in AD pathology, and that T2 relaxometry is a potential imaging modality for detecting and characterising WM in cognitive decline and dementia. |
format | Online Article Text |
id | pubmed-5390949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | IOP Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-53909492017-04-27 Quantitative T2 mapping of white matter: applications for ageing and cognitive decline Knight, Michael J McCann, Bryony Tsivos, Demitra Dillon, Serena Coulthard, Elizabeth Kauppinen, Risto A Phys Med Biol Paper In MRI, the coherence lifetime T2 is sensitive to the magnetic environment imposed by tissue microstructure and biochemistry in vivo. Here we explore the possibility that the use of T2 relaxometry may provide information complementary to that provided by diffusion tensor imaging (DTI) in ageing of healthy controls (HC), Alzheimer’s disease (AD) and mild cognitive impairment (MCI). T2 and diffusion MRI metrics were quantified in HC and patients with MCI and mild AD using multi-echo MRI and DTI. We used tract-based spatial statistics (TBSS) to evaluate quantitative MRI parameters in white matter (WM). A prolonged T2 in WM was associated with AD, and able to distinguish AD from MCI, and AD from HC. Shorter WM T2 was associated with better cognition and younger age in general. In no case was a reduction in T2 associated with poorer cognition. We also applied principal component analysis, showing that WM volume changes independently of T2, MRI diffusion indices and cognitive performance indices. Our data add to the evidence that age-related and AD-related decline in cognition is in part attributable to WM tissue state, and much less to WM quantity. These observations suggest that WM is involved in AD pathology, and that T2 relaxometry is a potential imaging modality for detecting and characterising WM in cognitive decline and dementia. IOP Publishing 2016-08-07 2016-07-06 /pmc/articles/PMC5390949/ /pubmed/27384985 http://dx.doi.org/10.1088/0031-9155/61/15/5587 Text en © 2016 Institute of Physics and Engineering in Medicine http://creativecommons.org/licenses/by/3.0/ Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (http://creativecommons.org/licenses/by/3.0) . Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
spellingShingle | Paper Knight, Michael J McCann, Bryony Tsivos, Demitra Dillon, Serena Coulthard, Elizabeth Kauppinen, Risto A Quantitative T2 mapping of white matter: applications for ageing and cognitive decline |
title | Quantitative T2 mapping of white matter: applications for ageing and cognitive decline |
title_full | Quantitative T2 mapping of white matter: applications for ageing and cognitive decline |
title_fullStr | Quantitative T2 mapping of white matter: applications for ageing and cognitive decline |
title_full_unstemmed | Quantitative T2 mapping of white matter: applications for ageing and cognitive decline |
title_short | Quantitative T2 mapping of white matter: applications for ageing and cognitive decline |
title_sort | quantitative t2 mapping of white matter: applications for ageing and cognitive decline |
topic | Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390949/ https://www.ncbi.nlm.nih.gov/pubmed/27384985 http://dx.doi.org/10.1088/0031-9155/61/15/5587 |
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