UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

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

Grussu, F; Schneider, T; Tur, C; Yates, RL; Tachrount, M; Ianuş, A; Yiannakas, MC; ... Gandini Wheeler-Kingshott, CAM; + view all (2017) Neurite dispersion: A new marker of multiple sclerosis spinal cord pathology? Annals of Clinical and Translational Neurology , 4 (9) pp. 663-679. 10.1002/acn3.445. Green open access

[thumbnail of Grussu_et_al-2017-Annals_of_Clinical_and_Translational_Neurology.pdf]
Preview
Text
Grussu_et_al-2017-Annals_of_Clinical_and_Translational_Neurology.pdf - Published Version

Download (1MB) | Preview

Abstract

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.

Type: Article
Title: Neurite dispersion: A new marker of multiple sclerosis spinal cord pathology?
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/acn3.445
Publisher version: http://doi.org/10.1002/acn3.445
Language: English
Additional information: © 2017 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1571744
Downloads since deposit
114Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item