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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., Nägele, T., Bieri, O., Prasloski, T., MacKay, A., Krägeloh-Mann, I., & Scheffler, K. (2016). Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI. PLoS ONE, 11(11), 1-23. doi:10.1371/journal.pone.0167274.

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アイテムのパーマリンク: https://hdl.handle.net/21.11116/0000-0000-794D-3 版のパーマリンク: https://hdl.handle.net/21.11116/0000-0001-8794-F
資料種別: 学術論文

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 作成者:
Groeschel, S, 著者
Hagberg, GE1, 2, 著者           
Schultz, T2, 3, 著者           
Balla, DZ1, 2, 4, 著者           
Klose, U, 著者
Hauser, T-K, 著者
Nägele, T, 著者
Bieri, O, 著者
Prasloski, T, 著者
MacKay, AL, 著者
Krägeloh-Mann, I, 著者
Scheffler, K1, 2, 著者           
所属:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
4Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              

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 要旨: 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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 日付: 2016-11
 出版の状態: オンラインで出版済み
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 識別子(DOI, ISBNなど): DOI: 10.1371/journal.pone.0167274
eDoc: e0167274
BibTex参照ID: GroeschelHSBKHNBPMKS2016
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出版物名: PLoS ONE
種別: 学術雑誌
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ページ: - 巻号: 11 (11) 通巻号: - 開始・終了ページ: 1 - 23 識別子(ISBN, ISSN, DOIなど): -