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  Longitudinal reproducibility of neurite orientation dispersion and density imaging (NODDI) derived metrics in the white matter

Lehmann, N., Aye, N., Kaufmann, J., Heinze, H.-J., Düzel, E., Ziegler, G., et al. (2021). Longitudinal reproducibility of neurite orientation dispersion and density imaging (NODDI) derived metrics in the white matter. Neuroscience, 457, 165-185. doi:10.1016/j.neuroscience.2021.01.005.

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Lehmann, Nico1, 2, Author              
Aye, Norman1, Author
Kaufmann, Jörn3, Author
Heinze, Hans-Jochen3, 4, 5, 6, Author
Düzel, Emrah4, 5, 7, 8, Author
Ziegler, Gabriel4, 8, Author
Taubert, Marco1, 5, Author
Affiliations:
1Department of Sport Science, Faculty of Human Sciences, Otto von Guericke University Magdeburg, Germany, ou_persistent22              
2Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
3Department of Neurology, Otto von Guericke University Magdeburg, Germany, ou_persistent22              
4German Center for Neurodegenerative Diseases, Magdeburg, Germany, ou_persistent22              
5Center for Behavioral Brain Sciences, Magdeburg, Germany, ou_persistent22              
6Leibniz Institute for Neurobiology, Magdeburg, Germany, ou_persistent22              
7Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University Magdeburg, Germany, ou_persistent22              
8Institute of Cognitive Neuroscience, University College London, United Kingdom, ou_persistent22              

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Free keywords: Diffusion-weighted imaging; Neurite Orientation Dispersion and Density Imaging (NODDI); Reproducibility; Reliability; Precision
 Abstract: Diffusion-weighted magnetic resonance imaging (DWI) is undergoing constant evolution with the ambitious goal of developing in-vivo histology of the brain. A recent methodological advancement is Neurite Orientation Dispersion and Density Imaging (NODDI), a histologically validated multi-compartment model to yield microstructural features of brain tissue such as geometric complexity and neurite packing density, which are especially useful in imaging the white matter. Since NODDI is increasingly popular in clinical research and fields such as developmental neuroscience and neuroplasticity, it is of vast importance to characterize its reproducibility (or reliability). We acquired multi-shell DWI data in 29 healthy young subjects twice over a rescan interval of 4 weeks to assess the within-subject coefficient of variation (CVWS), between-subject coefficient of variation (CVBS) and the intraclass correlation coefficient (ICC), respectively. Using these metrics, we compared regional and voxel-by-voxel reproducibility of the most common image analysis approaches (tract-based spatial statistics [TBSS], voxel-based analysis with different extents of smoothing [“VBM-style”], ROI-based analysis). We observed high test–retest reproducibility for the orientation dispersion index (ODI) and slightly worse results for the neurite density index (NDI). Our findings also suggest that the choice of analysis approach might have significant consequences for the results of a study. Collectively, the voxel-based approach with Gaussian smoothing kernels of ≥4 mm FWHM and ROI-averaging yielded the highest reproducibility across NDI and ODI maps (CVWS mostly ≤3%, ICC mostly ≥0.8), respectively, whilst smaller kernels and TBSS performed consistently worse. Furthermore, we demonstrate that image quality (signal-to-noise ratio [SNR]) is an important determinant of NODDI metric reproducibility. We discuss the implications of these results for longitudinal and cross-sectional research designs commonly employed in the neuroimaging field.

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Language(s): eng - English
 Dates: 2020-10-062021-01-052021-01-172021-03-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.neuroscience.2021.01.005
Other: ePub 2021
PMID: 33465411
 Degree: -

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Title: Neuroscience
Source Genre: Journal
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Publ. Info: Oxford : Pergamon
Pages: - Volume / Issue: 457 Sequence Number: - Start / End Page: 165 - 185 Identifier: ISSN: 0306-4522
CoNE: https://pure.mpg.de/cone/journals/resource/954925514498