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  4. Tract-wise microstructural analysis informs on current and future disability in early multiple sclerosis
 
research article

Tract-wise microstructural analysis informs on current and future disability in early multiple sclerosis

Ravano, Veronica  
•
Piredda, Gian Franco
•
Krasensky, Jan
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October 11, 2023
Journal Of Neurology

Objectives Microstructural characterization of patients with multiple sclerosis (MS) has been shown to correlate better with disability compared to conventional radiological biomarkers. Quantitative MRI provides effective means to characterize microstructural brain tissue changes both in lesions and normal-appearing brain tissue. However, the impact of the location of microstructural alterations in terms of neuronal pathways has not been thoroughly explored so far. Here, we study the extent and the location of tissue changes probed using quantitative MRI along white matter (WM) tracts extracted from a connectivity atlas. Methods We quantified voxel-wise T1 tissue alterations compared to normative values in a cohort of 99 MS patients. For each WM tract, we extracted metrics reflecting tissue alterations both in lesions and normal-appearing WM and correlated these with cross-sectional disability and disability evolution after 2 years. Results In early MS patients, T1 alterations in normal-appearing WM correlated better with disability evolution compared to cross-sectional disability. Further, the presence of lesions in supratentorial tracts was more strongly associated with cross-sectional disability, while microstructural alterations in infratentorial pathways yielded higher correlations with disability evolution. In progressive patients, all major WM pathways contributed similarly to explaining disability, and correlations with disability evolution were generally poor. Conclusions We showed that microstructural changes evaluated in specific WM pathways contribute to explaining future disability in early MS, hence highlighting the potential of tract-wise analyses in monitoring disease progression. Further, the proposed technique allows to estimate WM tract-specific microstructural characteristics in clinically compatible acquisition times, without the need for advanced diffusion imaging.

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Type
research article
DOI
10.1007/s00415-023-12023-3
Web of Science ID

WOS:001082809600002

Author(s)
Ravano, Veronica  
Piredda, Gian Franco
Krasensky, Jan
Andelova, Michaela
Uher, Tomas
Srpova, Barbora
Havrdova, Eva Kubala
Vodehnalova, Karolina
Horakova, Dana
Nytrova, Petra
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Date Issued

2023-10-11

Publisher

Springer Heidelberg

Published in
Journal Of Neurology
Subjects

Life Sciences & Biomedicine

•

Multiple Sclerosis

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Magnetic Resonance Imaging

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White Matter

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Demyelinating Diseases

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Relaxometry

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

FunderGrant Number

EPFL Lausanne

Roche (Healthy controls)

NTC03706118

Czech Ministry of Health project

NU 22-04-00193

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Available on Infoscience
February 14, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/203741
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