An interactive meta-analysis of MRI biomarkers of myelin

Matteo Mancini, Agah Karakuzu, Julien Cohen-Adad, Mara Cercignani, Thomas E. Nichols, Nikola Stikov

Article de revue (2020)

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Résumé

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.

Organismes subventionnaires:
Wellcome Trust, National Institutes of Health
Numéro de subvention:
213722/Z/18/Z, R01MH096906
Adresse URL de PolyPublie:
Titre de la revue :
Elife ( vol. 9 )
OAI:
oai:publications.polymtl.ca:46888
ORCID
Date du dépôt:
18 avr. 2023 15:01
Dernière modification:
14 oct. 2026 14:01
Citer en APA 7:
Mancini, M., Karakuzu, A., Cohen-Adad, J., Cercignani, M., Nichols, T. E., & Stikov, N. (2020). An interactive meta-analysis of MRI biomarkers of myelin. Elife, 9, e61523 (23 pages). https://doi.org/10.7554/elife.61523

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