A multi-shell multi-tissue diffusion study of brain connectivity in early multiple sclerosis

The potential of multi-shell diffusion imaging to produce accurate brain connectivity metrics able to unravel key pathophysiological processes in multiple sclerosis (MS) has scarcely been investigated. To test, in patients with a clinically isolated syndrome (CIS), whether multi-shell imaging-derive...

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Vydáno v:	Multiple sclerosis Ročník 26; číslo 7; s. 774
Hlavní autoři:	Tur, Carmen, Grussu, Francesco, Prados, Ferran, Charalambous, Thalis, Collorone, Sara, Kanber, Baris, Cawley, Niamh, Altmann, Daniel R, Ourselin, Sébastien, Barkhof, Frederik, Clayden, Jonathan D, Toosy, Ahmed T, Wheeler-Kingshott, Claudia Am Gandini, Ciccarelli, Olga
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England 01.06.2020
Témata:	Adult Cognitive Dysfunction - diagnostic imaging Cognitive Dysfunction - etiology Cognitive Dysfunction - pathology Diffusion Tensor Imaging - methods Female Gray Matter - diagnostic imaging Gray Matter - pathology Humans Male Middle Aged Multiple Sclerosis - complications Multiple Sclerosis - diagnostic imaging Multiple Sclerosis - pathology Nerve Net - diagnostic imaging Nerve Net - pathology Retrospective Studies White Matter - diagnostic imaging White Matter - pathology Diffusion-weighted imaging multi-shell acquisitions tractography multi-shell multi-tissue constrained spherical deconvolution clinically isolated syndrome multiple sclerosis
ISSN:	1477-0970, 1477-0970
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Shrnutí:	The potential of multi-shell diffusion imaging to produce accurate brain connectivity metrics able to unravel key pathophysiological processes in multiple sclerosis (MS) has scarcely been investigated. To test, in patients with a clinically isolated syndrome (CIS), whether multi-shell imaging-derived connectivity metrics can differentiate patients from controls, correlate with clinical measures, and perform better than metrics obtained with conventional single-shell protocols. Nineteen patients within 3 months from the CIS and 12 healthy controls underwent anatomical and 53-direction multi-shell diffusion-weighted 3T images. Patients were cognitively assessed. Voxel-wise fibre orientation distribution functions were estimated and used to obtain network metrics. These were also calculated using a conventional single-shell diffusion protocol. Through linear regression, we obtained effect sizes and standardised regression coefficients. Patients had lower mean nodal strength ( = 0.003) and greater network modularity than controls ( = 0.045). Greater modularity was associated with worse cognitive performance in patients, even after accounting for lesion load ( = 0.002). Multi-shell-derived metrics outperformed single-shell-derived ones. Connectivity-based nodal strength and network modularity are abnormal in the CIS. Furthermore, the increased network modularity observed in patients, indicating microstructural damage, is clinically relevant. Connectivity analyses based on multi-shell imaging can detect potentially relevant network changes in early MS.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1477-0970 1477-0970
DOI:	10.1177/1352458519845105