Macromolecular Proton Fraction as a Myelin Biomarker: Principles, Validation, and Applications.
Macromolecular Proton Fraction as a Myelin Biomarker: Principles, Validation, and Applications.
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DOI:
10.3389/fnins.2022.819912
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发表时间:
2022
影响因子:
4.3
通讯作者:
Yarnykh VL
中科院分区:
文献类型:
--
作者:
Kisel AA;Naumova AV;Yarnykh VL
Macromolecular proton fraction (MPF) is a quantitative MRI parameter describing the magnetization transfer (MT) effect and defined as a relative amount of protons bound to biological macromolecules with restricted molecular motion, which participate in magnetic cross-relaxation with water protons. MPF attracted significant interest during past decade as a biomarker of myelin. The purpose of this mini review is to provide a brief but comprehensive summary of MPF mapping methods, histological validation studies, and MPF applications in neuroscience. Technically, MPF maps can be obtained using a variety of quantitative MT methods. Some of them enable clinically reasonable scan time and resolution. Recent studies demonstrated the feasibility of MPF mapping using standard clinical MRI pulse sequences, thus substantially enhancing the method availability. A number of studies in animal models demonstrated strong correlations between MPF and histological markers of myelin with a minor influence of potential confounders. Histological studies validated the capability of MPF to monitor both demyelination and re-myelination. Clinical applications of MPF have been mainly focused on multiple sclerosis where this method provided new insights into both white and gray matter pathology. Besides, several studies used MPF to investigate myelin role in other neurological and psychiatric conditions. Another promising area of MPF applications is the brain development studies. MPF demonstrated the capabilities to quantitatively characterize the earliest stage of myelination during prenatal brain maturation and protracted myelin development in adolescence. In summary, MPF mapping provides a technically mature and comprehensively validated myelin imaging technology for various preclinical and clinical neuroscience applications.
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影响因子:
5.7
作者:
Corrigan NM;Yarnykh VL;Hippe DS;Owen JP;Huber E;Zhao TC;Kuhl PK
通讯作者:
Kuhl PK
影响因子:
3.3
作者:
Deoni, Sean C. L.;Rutt, Brian K.;Jones, Derek K.
通讯作者:
Jones, Derek K.
影响因子:
2.8
作者:
Anisimov, Nikolay V.;Pavlova, Olga S.;Yarnykh, Vasily L.
通讯作者:
Yarnykh, Vasily L.
影响因子:
3.3
作者:
Deoni, SCL;Peters, TM;Rutt, BK
通讯作者:
Rutt, BK
影响因子:
2.4
作者:
Garcia, Meritxell;Gloor, Monika;Stippich, Christoph
通讯作者:
Stippich, Christoph