A comparison of inhomogeneous magnetization transfer, myelin volume fraction, and diffusion tensor imaging measures in healthy children

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dc.contributor.authorGeeraert, Bryce L.
dc.contributor.authorLebel, Robert Marc
dc.contributor.authorMah, Alyssa C.
dc.contributor.authorDeoni, Sean C. L.
dc.contributor.authorAlsop, David C.
dc.contributor.authorVarma, Gopal
dc.contributor.authorLebel, Catherine A.
dc.date.accessioned2018-09-19T19:28:39Z
dc.date.available2018-09-19T19:28:39Z
dc.date.issued2017-09-12
dc.description.abstractSensitive and specific biomarkers of myelin can help define baseline brain health and development, identify and monitor disease pathology, and evaluate response to treatment where myelin content is affected. Diffusion measures such as radial diffusivity (RD) are commonly used to assess myelin content, but are not specific to myelin. Inhomogeneous magnetization transfer (ihMT) and multicomponent driven equilibrium single-pulse observation of T1 and T2 (mcDESPOT) offer quantitative parameters (qihMT and myelin volume fraction/VFm, respectively) which are suggested to have improved sensitivity to myelin. We compared RD, qihMT, and VFm in a cohort of 23 healthy children aged 8-13 years to evaluate the similarities and differences across these measures. All 3 measures were significantly related across brain voxels, but VFm and qihMT were significantly more strongly correlated (qihMT-VFm r = 0.89) than either measure was with RD (RD-qihMT r = -0.66, RD-VFm r = -0.74; all p < 0.001). Mean parameters differed in several regions, especially in subcortical gray matter. These differences can likely be explained by unique sensitivities of each measure to non-myelin factors, such as crossing fiber geometry, axonal packing, fiber orientation, glial density, or magnetization transfer effects in a voxel. We also observed an orientation dependence of qihMT in white matter, such that qihMT decreased as fiber orientation went from parallel to perpendicular to B0. All measures appear to be sensitive to myelin content, though qihMT and VFm appear to be more specific to it than RD. Scan time, noise tolerance, and resolution requirements may inform researchers of the appropriate measure to choose for a specific application.en_US
dc.identifier.citationGeeraert, B. L., Lebel, R. M., Mah, A. C., Deoni, S. C., Alsop, D. C., Varma, G., & Lebel, C. (2017). A comparison of inhomogeneous magnetization transfer, myelin volume fraction, and diffusion tensor imaging measures in healthy children. NeuroImage. doi:10.1016/j.neuroimage.2017.09.019en_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.neuroimage.2017.09.019en_US
dc.identifier.issn1095-9572
dc.identifier.urihttp://hdl.handle.net/1880/107768
dc.identifier.urihttps://doi.org/10.11575/PRISM/46153
dc.language.isoenen_US
dc.publisher.facultyScienceen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.rightsUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.titleA comparison of inhomogeneous magnetization transfer, myelin volume fraction, and diffusion tensor imaging measures in healthy childrenen_US
dc.typeunknown
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