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

Research output: Contribution to journalArticle

Carmen Tur, Francesco Grussu, Ferran Prados, Thalis Charalambous, Sara Collorone, Baris Kanber, Niamh Cawley, Daniel R. Altmann, Sébastien Ourselin, Frederik Barkhof, Jonathan D. Clayden, Ahmed T. Toosy, Claudia AM Gandini Wheeler-Kingshott, Olga Ciccarelli

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalMultiple Sclerosis Journal
Early online date10 May 2019
Publication statusE-pub ahead of print - 10 May 2019

King's Authors


Background: 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. Objective: 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. Methods: 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. Results: Patients had lower mean nodal strength (p = 0.003) and greater network modularity than controls (p = 0.045). Greater modularity was associated with worse cognitive performance in patients, even after accounting for lesion load (p = 0.002). Multi-shell-derived metrics outperformed single-shell-derived ones. Conclusion: 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.

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