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  Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI

Groeschel, S., Hagberg, G., Schultz, T., Balla, D., Klose, U., Hauser, T.-K., et al. (2016). Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI. PLOS ONE, 11(11): e0167274. doi:10.1371/journal.pone.0167274.

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Groeschel, S, Author
Hagberg, GE1, Author           
Schultz, T2, Author           
Balla, DZ1, 3, Author           
Klose, U, Author
Hauser, T-K, Author
Nägele, T, Author
Bieri, O, Author
Prasloski, T, Author
MacKay, AL, Author
Krägeloh-Mann, I, Author
Scheffler, K1, Author           
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
3Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              

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 Abstract: Objective
We investigate how known differences in myelin architecture between regions along the cortico-spinal tract and frontal white matter (WM) in 19 healthy adolescents are reflected in several quantitative MRI parameters that have been proposed to non-invasively probe WM microstructure. In a clinically feasible scan time, both conventional imaging sequences as well as microstructural MRI parameters were assessed in order to quantitatively characterise WM regions that are known to differ in the thickness of their myelin sheaths, and in the presence of crossing or parallel fibre organisation.
Results
We found that diffusion imaging, MR spectroscopy (MRS), myelin water fraction (MWF), Magnetization Transfer Imaging, and Quantitative Susceptibility Mapping were myelin-sensitive in different ways, giving complementary information for characterising WM microstructure with different underlying fibre architecture. From the diffusion parameters, neurite density (NODDI) was found to be more sensitive than fractional anisotropy (FA), underlining the limitation of FA in WM crossing fibre regions. In terms of sensitivity to different myelin content, we found that MWF, the mean diffusivity and chemical-shift imaging based MRS yielded the best discrimination between areas.
Conclusion
Multimodal assessment of WM microstructure was possible within clinically feasible scan times using a broad combination of quantitative microstructural MRI sequences. By assessing new microstructural WM parameters we were able to provide normative data and discuss their interpretation in regions with different myelin architecture, as well as their possible application as biomarker for WM disorders.

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 Dates: 2016-11
 Publication Status: Published online
 Pages: -
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 Identifiers: DOI: 10.1371/journal.pone.0167274
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Title: PLOS ONE
  Abbreviation : PLOS ONE
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: 23 Volume / Issue: 11 (11) Sequence Number: e0167274 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850