4.6 Article

Neurite dispersion: a new marker of multiple sclerosis spinal cord pathology?

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出版社

WILEY
DOI: 10.1002/acn3.445

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资金

  1. UCL Grand Challenges scheme
  2. Horizon Framework Programme (H)-EU.3.1 CDS-QUAMRI grant [634541]
  3. Engineering and Physical Sciences Research Council (EPSRC) Platform Grant for medical image computing for next-generation healthcare technology [EP/M020533/1]
  4. UK Multiple Sclerosis Society [892/08]
  5. Department of Health's National Institute for Health Research (NIHR) Biomedical Research Centres [BRC RD03/10/RAG0449]
  6. European Committee for Research and Treatment in Multiple Sclerosis (ECTRIMS)
  7. EPSRC [M507970, G007748, I027084, M020533, N018702]
  8. UK Multiple Sclerosis Society
  9. H-EU.3.1 [634541, 666992-2]
  10. Engineering and Physical Sciences Research Council [EP/G007748/1, EP/I027084/1, EP/L022680/1, EP/M020533/1, EP/N018702/1, EP/M00855X/1, EP/M029778/1] Funding Source: researchfish
  11. International Spinal Research Trust [IMG006] Funding Source: researchfish
  12. Medical Research Council [MR/L022656/1, MR/M009106/1] Funding Source: researchfish
  13. EPSRC [EP/M00855X/1, EP/G007748/1, EP/M029778/1, EP/N018702/1, EP/M020533/1, EP/I027084/1, EP/L022680/1] Funding Source: UKRI
  14. MRC [MR/M009106/1, MR/L022656/1] Funding Source: UKRI

向作者/读者索取更多资源

Objective: Conventional magnetic resonance imaging (MRI) of the multiple sclerosis spinal cord is limited by low specificity regarding the underlying pathological processes, and new MRI metrics assessing microscopic damage are required. We aim to show for the first time that neurite orientation dispersion (i.e., variability in axon/dendrite orientations) is a new biomarker that uncovers previously undetected layers of complexity of multiple sclerosis spinal cord pathology. Also, we validate against histology a clinically viable MRI technique for dispersion measurement (neurite orientation dispersion and density imaging, NODDI), to demonstrate the strong potential of the new marker. Methods: We related quantitative metrics from histology and MRI in four post mortem spinal cord specimens (two controls; two progressive multiple sclerosis cases). The samples were scanned at high field, obtaining maps of neurite density and orientation dispersion from NODDI and routine diffusion tensor imaging (DTI) indices. Histological procedures provided markers of astrocyte, microglia, myelin and neurofilament density, as well as neurite dispersion. Results: We report from both NODDI and histology a trend toward lower neurite dispersion in demyelinated lesions, indicative of reduced neurite architecture complexity. Also, we provide unequivocal evidence that NODDI-derived dispersion matches its histological counterpart (P < 0.001), while DTI metrics are less specific and influenced by several biophysical substrates. Interpretation: Neurite orientation dispersion detects a previously undescribed and potentially relevant layer of microstructural complexity of multiple sclerosis spinal cord pathology. Clinically feasible techniques such as NODDI may play a key role in clinical trial and practice settings, as they provide histologically meaningful dispersion indices.

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