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Factors influencing the detection of age-dependent variations of cortical myelin by MP2RAGE at 9.4T

MPS-Authors
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Hagberg,  G
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bause,  J
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Ehses,  P
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84145

Pohmann,  R
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Shajan,  G
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Scheffler,  K
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Hagberg, G., Bause, J., Ethofer, T., Ehses, P., Dresler, T., Herbert, C., et al. (2017). Factors influencing the detection of age-dependent variations of cortical myelin by MP2RAGE at 9.4T. Poster presented at 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2017), Honolulu, HI, USA.


Cite as: https://hdl.handle.net/21.11116/0000-0000-C4B3-8
Abstract
Detection of subtle variation of the myeloarchitecture within the cerebral cortex may be feasibile with high-field mapping of the longitudinal relaxation time. However, besides myelin other factors like iron or variation of the grey matter volume may impact this MR parameter. In the present work we propose a model that includes and quantifies these factors. We found a regionally dependent, continuous increase from early adulthood into the middle ages that tentatively can be assigned to myelin.