Diffusion kurtosis metrics as biomarkers of microstructural development: A comparative study of a group of children and a group of adults

Grinberg, Farida; Maximov, Ivan I.; Farrher, Ezequiel; Neuner, Irene; Amort, Laura; Thönneßen, Heike; Oberwelland, Eileen; Konrad, Kerstin; Shah, N. Jon

doi:10.1016/j.neuroimage.2016.08.033

Cited by 50 publications

(57 citation statements)

References 87 publications

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“…Accordingly, in the frontal WM region water diffusion was less hindered as indicated by a higher MD and a lower FA. Also, MK was highly increased in the PLIC-CST (mainly due to increased radial kurtosis), in line with previous reports [83] and the association of diffusion kurtosis with myelination [84,85]. At the same time, higher intra-axonal water diffusion along the CST leads to higher axial diffusivity, further contributing to the high FA in the CST-PLIC.…”

Section: Discussionsupporting

confidence: 90%

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

et al. 2016

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ObjectiveWe 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.ResultsWe 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.ConclusionMultimodal 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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Section: Discussionsupporting

confidence: 90%

“…The same holds true for the diffusion kurtosis measures. While the mean kurtosis has been reported to be sensitive to pathological WM changes, and correlated with myelination and maturation of WM [84,85], it is difficult to interpret axial and radial kurtosis in regions of crossing fibres [49]. …”

Section: Discussionmentioning

confidence: 99%

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

et al. 2016

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“…The mean values, (<MK LHM >), were considerably lower in children than in adults in all fibres complying with generally lower MK values in WM of children compared to adults [30]. Within the same group, the CVs across the subjects were low for most of the fibres varying in approximately the same range (from 0.042 to 0.088) with the means equal to 0.061 in adults and 0.062 in children.…”

Section: Application Of the D-kit In Atlas-based Comparison Of Childrsupporting

confidence: 54%

“…The post-processing steps were described in detail elsewhere [30]. In brief, DWIs were corrected for eddy-current distortions and head motion using the FDT toolkit available in FSL [33]; bias due to background noise was reduced using the power-images method [34][35][36]; DT/KT metrics were evaluated as described elsewhere with the help of the ExploreDTI toolkit [37].…”

Section: Post-processing and Statistical Analysismentioning

confidence: 99%

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Novel Diffusion-Kurtosis-Informed Template Reduces Distortions due to Partial Volume Effects and Improves Statistical between-Group Comparisons

Grinberg¹,

Farrher²,

Gao³

et al. 2017

J Alzheimers Dis Parkinsonism

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Association of White Matter With Core Cognitive Deficits in Patients With Schizophrenia

et al. 2017

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Diffusion kurtosis metrics as biomarkers of microstructural development: A comparative study of a group of children and a group of adults

Cited by 50 publications

References 87 publications

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

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

Novel Diffusion-Kurtosis-Informed Template Reduces Distortions due to Partial Volume Effects and Improves Statistical between-Group Comparisons

Association of White Matter With Core Cognitive Deficits in Patients With Schizophrenia

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