Cited by 118Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsNMR spectroscopy and applications

Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo

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Grussu, Francesco, Schneider, Torben, Zhang, Hui, Alexander, Daniel C., Wheeler–Kingshott, Claudia A.M.·2015·NeuroImage

Abstract

Here we present the application of neurite orientation dispersion and density imaging (NODDI) to the healthy spinal cord in vivo. NODDI provides maps such as the intra-neurite tissue volume fraction (vin), the orientation dispersion index (ODI) and the isotropic volume fraction (viso), and here we investigate their potential for spinal cord imaging. We scanned five healthy volunteers, four of whom twice, on a 3T MRI system with a ZOOM-EPI sequence. In accordance to the published NODDI protocol, multiple b-shells were acquired at cervical level and both NODDI and diffusion tensor imaging (DTI) metrics were obtained and analysed to: i) characterise differences in grey and white matter (GM/WM); ii) assess the scan-rescan reproducibility of NODDI; iii) investigate the relationship between NODDI and DTI; and iv) compare the quality of fit of NODDI and DTI. Our results demonstrated that: i) anatomical features can be identified in NODDI maps, such as clear contrast between GM and WM in ODI; ii) the variabilities of vin and ODI are comparable to that of DTI and are driven by biological differences between subjects for ODI, have similar contribution from measurement errors and biological variation for vin, whereas viso shows higher variability, driven by measurement errors; iii) NODDI identifies potential sources contributing to DTI indices, as in the brain; and iv) NODDI outperforms DTI in terms of quality of fit. In conclusion, this work shows that NODDI is a useful model for in vivo diffusion MRI of the spinal cord, providing metrics closely related to tissue microstructure, in line with findings in the brain.

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Crossref · 10.1016/j.neuroimage.2015.01.045

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  • NODDI dispersion indices are histologically meaningful.

    “Also, we provide unequivocal evidence that NODDI dispersion indices are histologically meaningful, demonstrating their clinical viability since NODDI can be set up in clinical systems.26, 27”

    From Neurite dispersion: a new marker of multiple sclerosis spinal cord pathology? (2017) · cites this paper as [27]

    The Introduction (page unavailable) describes the dispersion index as a measure of how parallel neurites are, and the Discussion (page unavailable) says ODI differences between gray and white matter reflect known differences in neurite architecture. That supports biological meaning, but the Discussion makes a direct mapping to neurite morphology conditional on the metrics being believed to provide it; this paper does not establish histological validation. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • In controls, NODDI NDI and ODI show contrast between gray and white matter: NDI is higher in white matter than gray matter, while ODI is higher in gray than white matter.

    “In controls, NODDI NDI and ODI show contrast between gray and white matter, in line with recent in vivo results.27 NDI is higher in white matter than in gray matter, while the opposite holds for ODI.”
  • Known contrasts are observed between controls' gray and white matter for DTI metrics.

    “Regarding DTI metrics, known contrasts are observed between controls’ gray and white matter.27, 36”
  • NODDI can be set up in clinical systems.

    “Also, we provide unequivocal evidence that NODDI dispersion indices are histologically meaningful, demonstrating their clinical viability since NODDI can be set up in clinical systems.26, 27”
  • Neurite orientation dispersion is a marker of microstructural pathology, as it detects trends of reduced geometrical complexity of neurite architecture within multiple sclerosis lesions.

    “Through the combination of state‐of‐the‐art histology33 and post mortem NODDI26, 27 MRI, we show for the first time that neurite orientation dispersion is a marker of microstructural pathology, as it detects trends of reduced geometrical complexity of neurite architecture within multiple sclerosis lesions.”

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Authors
Grussu, F., Schneider, T., Zhang, H., Alexander, D. C., & Wheeler–Kingshott, C. A. M.
Affiliations
  • National Hospital for Neurology and Neurosurgery (GB)
  • University College London (GB)
Corresponding author
Grussu, Francesco
Venue
NeuroImage
Publisher
Elsevier BV
Published
2015-05
Volume
111
Pages
590-601
ISSN
1053-8119 (ISSN-L)
OpenAlex
W1970713332
Cited by
118
References
64
Citations by year
2026: 3 · 2025: 7 · 2024: 5 · 2023: 12 · 2022: 5 · 2021: 13 · 2020: 14 · 2019: 14 · 2018: 17 · 2017: 13 · 2016: 12 · 2015: 3
FWCI
12.16
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
  • Manchester Biomedical Research Centre (R&D03/10/RAG0449)
  • UCLH Biomedical Research Centre
  • Department of Health, Australian Government
  • Engineering and Physical Sciences Research Council (EP/G007748, EP/L022680/1, EP/I027084/01)
  • University College London
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
Keywords
NODDI, cervical spinal cord, diffusion MRI, tissue microstructure, orientation dispersion index, isotropic volume fraction, scan-rescan reproducibility
MeSH terms
Adult, Humans, Neurites, Anisotropy, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, Cervical Cord

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