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An interactive meta-analysis of MRI biomarkers of myelin
Several MRI measures have been proposed as in vivo biomarkers of myelin, each with applications ranging from plasticity to pathology. Despite the availability of these myelin-sensitive modalities, specificity and sensitivity have been a matter of discussion. Debate about which MRI measure is the mos...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647401/ https://www.ncbi.nlm.nih.gov/pubmed/33084576 http://dx.doi.org/10.7554/eLife.61523 |
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author | Mancini, Matteo Karakuzu, Agah Cohen-Adad, Julien Cercignani, Mara Nichols, Thomas E Stikov, Nikola |
author_facet | Mancini, Matteo Karakuzu, Agah Cohen-Adad, Julien Cercignani, Mara Nichols, Thomas E Stikov, Nikola |
author_sort | Mancini, Matteo |
collection | PubMed |
description | Several MRI measures have been proposed as in vivo biomarkers of myelin, each with applications ranging from plasticity to pathology. Despite the availability of these myelin-sensitive modalities, specificity and sensitivity have been a matter of discussion. Debate about which MRI measure is the most suitable for quantifying myelin is still ongoing. In this study, we performed a systematic review of published quantitative validation studies to clarify how different these measures are when compared to the underlying histology. We analyzed the results from 43 studies applying meta-analysis tools, controlling for study sample size and using interactive visualization (https://neurolibre.github.io/myelin-meta-analysis). We report the overall estimates and the prediction intervals for the coefficient of determination and find that MT and relaxometry-based measures exhibit the highest correlations with myelin content. We also show which measures are, and which measures are not statistically different regarding their relationship with histology. |
format | Online Article Text |
id | pubmed-7647401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-76474012020-11-09 An interactive meta-analysis of MRI biomarkers of myelin Mancini, Matteo Karakuzu, Agah Cohen-Adad, Julien Cercignani, Mara Nichols, Thomas E Stikov, Nikola eLife Neuroscience Several MRI measures have been proposed as in vivo biomarkers of myelin, each with applications ranging from plasticity to pathology. Despite the availability of these myelin-sensitive modalities, specificity and sensitivity have been a matter of discussion. Debate about which MRI measure is the most suitable for quantifying myelin is still ongoing. In this study, we performed a systematic review of published quantitative validation studies to clarify how different these measures are when compared to the underlying histology. We analyzed the results from 43 studies applying meta-analysis tools, controlling for study sample size and using interactive visualization (https://neurolibre.github.io/myelin-meta-analysis). We report the overall estimates and the prediction intervals for the coefficient of determination and find that MT and relaxometry-based measures exhibit the highest correlations with myelin content. We also show which measures are, and which measures are not statistically different regarding their relationship with histology. eLife Sciences Publications, Ltd 2020-10-21 /pmc/articles/PMC7647401/ /pubmed/33084576 http://dx.doi.org/10.7554/eLife.61523 Text en © 2020, Mancini et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Mancini, Matteo Karakuzu, Agah Cohen-Adad, Julien Cercignani, Mara Nichols, Thomas E Stikov, Nikola An interactive meta-analysis of MRI biomarkers of myelin |
title | An interactive meta-analysis of MRI biomarkers of myelin |
title_full | An interactive meta-analysis of MRI biomarkers of myelin |
title_fullStr | An interactive meta-analysis of MRI biomarkers of myelin |
title_full_unstemmed | An interactive meta-analysis of MRI biomarkers of myelin |
title_short | An interactive meta-analysis of MRI biomarkers of myelin |
title_sort | interactive meta-analysis of mri biomarkers of myelin |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647401/ https://www.ncbi.nlm.nih.gov/pubmed/33084576 http://dx.doi.org/10.7554/eLife.61523 |
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