Characterization of the cortical myeloarchitecture with inhomogeneous magnetization transfer imaging (ihMT).

Abstract:

BACKGROUND:Myelin specific imaging techniques to characterize white matter in demyelinating diseases such as multiple sclerosis (MS) have become an area of increasing focus. Gray matter myelination is an important marker of cortical microstructure, and its impairment is relevant in progressive MS. However, its assessment is challenging due to its thin layers. While myelin water imaging and ultra-short TE imaging have not yet been implemented to assess cortical myeloarchitecture, magnetization transfer (MT) shows promise. A recent development of the MT technique, ihMT, has demonstrated greater myelin sensitivity/specificity. Here we implemented a 3D ihMT acquisition and analysis to characterize cortical gray matter myeloarchitecture. METHODS:20 young healthy volunteers were imaged with a 3D ihMTRAGE sequence and quantitative metrics of ihMT (ihMTsat), and dual frequency-offset MT (dual MTsat) were calculated. Cortical surface-based analysis of ihMTsat and dual MTsat were performed and compared. We also compared the cortical ihMTsat map to a cortical surface-based map of T1-weighted images (T1w), defined as a proxy of myelin content. RESULTS:Cortical ihMTsat and dual MTsat maps were in qualitative agreement with previous work and the cortical T1w map, showing higher values in primary cortices and lower values in the insula. IhMTsat and dual MTsat were significantly correlated but with important regional differences. The ratio ihMTsat/dual MTsat highlighted higher ihMTsat values in the primary cortices and sulci. CONCLUSION:ihMTsat, a quantitative metric of ihMT, can be reliably measured in cortical gray matter and shows unique contrast between cortical regions.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Munsch F,Varma G,Taso M,Girard O,Guidon A,Duhamel G,Alsop DC

doi

10.1016/j.neuroimage.2020.117442

subject

Has Abstract

pub_date

2021-01-15 00:00:00

pages

117442

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(20)30927-7

journal_volume

225

pub_type

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