A multi-shell multi-tissue diffusion study of brain connectivity in early multiple sclerosis.
Mult Scler
; 26(7): 774-785, 2020 06.
Article
em En
| MEDLINE
| ID: mdl-31074686
ABSTRACT
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.Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Imagem de Tensor de Difusão
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Disfunção Cognitiva
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Substância Cinzenta
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Substância Branca
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Esclerose Múltipla
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Rede Nervosa
Tipo de estudo:
Etiology_studies
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Guideline
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Observational_studies
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Risk_factors_studies
Limite:
Adult
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Mult Scler
Assunto da revista:
NEUROLOGIA
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Reino Unido