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  Tractography in the presence of multiple sclerosis lesions

Lipp, I., Parker, G. D., Tallantyre, E. C., Goodall, A., Steluta, G., Patitucci, E., et al. (2020). Tractography in the presence of multiple sclerosis lesions. NeuroImage, 209: 116471. doi:10.1016/j.neuroimage.2019.116471.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0005-7988-A Version Permalink: http://hdl.handle.net/21.11116/0000-0005-9C17-2
Genre: Journal Article

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 Creators:
Lipp, Ilona1, 2, 3, Author              
Parker, Greg D.2, 4, Author
Tallantyre, Emma C.1, 5, Author
Goodall, Alex2, 6, 7, Author
Steluta, Grama2, Author
Patitucci, Eleonora2, Author
Heveron, Phoebe1, Author
Tomassini, Valentina1, 2, 5, 6, 8, Author
Jones, Derek K.2, 9, Author
Affiliations:
1Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, United Kingdom, ou_persistent22              
2Brain Research Imaging Centre, School of Psychology, Cardiff University, United Kingdom, ou_persistent22              
3Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
4Experimental MRI Centre (EMRIC), School of Biosciences, Cardiff University, United Kingdom, ou_persistent22              
5Helen Durham Centre for Neuroinflammatory Disease, University Hospital of Wales, Cardiff, United Kingdom, ou_persistent22              
6Department of Medical Physics, Leeds Teaching Hospitals NHS Trust, United Kingdom, ou_persistent22              
7Department of Medical Imaging and Medical Physics, Sheffield Teaching Hospital NHS Foundation Trust, United Kingdom, ou_persistent22              
8Institute of Advanced Biomedical Technologies (ITAB), Gabriele D'Annunzio University, Chieti-Pescara, Italy, ou_persistent22              
9Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia, ou_persistent22              

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Free keywords: Tractography; Diffusion tensor imaging; Spherical harmonic deconvolution; Multiple sclerosis lesions; Brain MRI
 Abstract: Accurate anatomical localisation of specific white matter tracts and the quantification of their tract-specific microstructural damage in conditions such as multiple sclerosis (MS) can contribute to a better understanding of symptomatology, disease evolution and intervention effects. Diffusion MRI-based tractography is being used increasingly to segment white matter tracts as regions-of-interest for subsequent quantitative analysis. Since MS lesions can interrupt the tractography algorithm’s tract reconstruction, clinical studies frequently resort to atlas-based approaches, which are convenient but ignorant to individual variability in tract size and shape. Here, we revisit the problem of individual tractography in MS, comparing tractography algorithms using: (i) The diffusion tensor framework; (ii) constrained spherical deconvolution (CSD); and (iii) damped Richardson-Lucy (dRL) deconvolution. Firstly, using simulated and in vivo data from 29 MS patients and 19 healthy controls, we show that the three tracking algorithms respond differentially to MS pathology. While the tensor-based approach is unable to deal with crossing fibres, CSD produces spurious streamlines, in particular in tissue with high fibre loss and low diffusion anisotropy. With dRL, streamlines are increasingly interrupted in pathological tissue. Secondly, we demonstrate that despite the effects of lesions on the fibre orientation reconstruction algorithms, fibre tracking algorithms are still able to segment tracts that pass through areas with a high prevalence of lesions. Combining dRL-based tractography with an automated tract segmentation tool on data from 131 MS patients, the cortico-spinal tracts and arcuate fasciculi could be reconstructed in more than 90% of individuals. Comparing tract-specific microstructural parameters (fractional anisotropy, radial diffusivity and magnetisation transfer ratio) in individually segmented tracts to those from a tract probability map, we show that there is no systematic disease-related bias in the individually reconstructed tracts, suggesting that lesions and otherwise damaged parts are not systematically omitted during tractography. Thirdly, we demonstrate modest anatomical correspondence between the individual and tract probability-based approach, with a spatial overlap between 35 and 55%. Correlations between tract-averaged microstructural parameters in individually segmented tracts and the probability-map approach ranged between () for radial diffusivity in the right cortico-spinal tract and () for magnetisation transfer ratio in the arcuate fasciculi. Our results show that MS white matter lesions impact fibre orientation reconstructions but this does not appear to hinder the ability to anatomically reconstruct white matter tracts in MS. Individual tract segmentation in MS is feasible on a large scale and could prove a powerful tool for investigating diagnostic and prognostic markers.

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Language(s): eng - English
 Dates: 2019-12-132019-09-022019-12-162019-12-242020-04-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2019.116471
Other: Epub ahead of print
PMID: 31877372
 Degree: -

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Funding organization : MS Society UK
Project name : -
Grant ID : 096646/Z/11/Z
Funding program : Wellcome Trust Investigator Award
Funding organization : Wellcome Trust
Project name : -
Grant ID : 104943/Z/14/Z
Funding program : Wellcome Trust Strategic Award
Funding organization : Wellcome Trust

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 209 Sequence Number: 116471 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166