A multi-shell multi-tissue diffusion study of brain connectivity in early multiple sclerosis
| Autor: | Niamh Cawley, Ferran Prados, Olga Ciccarelli, Jonathan D. Clayden, Carmen Tur, Daniel R. Altmann, Francesco Grussu, Frederik Barkhof, Thalis Charalambous, Baris Kanber, Sebastien Ourselin, Sara Collorone, Ahmed T. Toosy, Claudia Am Gandini Wheeler-Kingshott |
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| Přispěvatelé: | Radiology and nuclear medicine, Amsterdam Neuroscience - Neuroinfection & -inflammation |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Multiple Sclerosis Computer science Article 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine medicine Humans Multi shell Cognitive Dysfunction Diffusion (business) Gray Matter Retrospective Studies Clinically isolated syndrome Multiple sclerosis Middle Aged medicine.disease White Matter Diffusion imaging Diffusion Tensor Imaging Neurology Female Neurology (clinical) Nerve Net Neuroscience 030217 neurology & neurosurgery Diffusion MRI Tractography |
| Zdroj: | Mult Scler Tur, C, Grussu, F, Prados, F, Charalambous, T, Collorone, S, Kanber, B, Cawley, N, Altmann, D R, Ourselin, S B, Barkhof, F, Clayden, J D, Toosy, A T, Wheeler-Kingshott, C A M G & Ciccarelli, O 2020, ' A multi-shell multi-tissue diffusion study of brain connectivity in early multiple sclerosis ', Multiple Sclerosis Journal, vol. 26, no. 7, pp. 774-785 . https://doi.org/10.1177/1352458519845105 Multiple Sclerosis Journal, 26(7), 774-785. SAGE Publications Ltd Multiple Sclerosis Journal |
| ISSN: | 1352-4585 |
| DOI: | 10.1177/1352458519845105 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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