Quantifying Remyelination Using χ-Separation in White Matter and Cortical Multiple Sclerosis Lesions

χ-separation, a novel mathematical model applied to multiecho T2*-images and T2-images shows that young RRMS patients with low disability exhibit higher remyelination capacity, which correlated with clinical disability over a 2-year follow-up.

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Publication Details

Journal
Neurology
Published
2024-08-30
DOI
https://doi.org/10.1212/wnl.0000000000209604
Citations
16
Primary Topic
RNA regulation and disease
Type
article
Field-Weighted Citation Impact
3.74
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article

Quantifying Remyelination Using χ-Separation in White Matter and Cortical Multiple Sclerosis Lesions

Riccardo Galbusera, Charidimos Tsagkas, Alessandro Cagol, Sabine Schaedelin et al.
16 citations
Neurology
RNA regulation and disease
3.74
article

Quantifying Remyelination Using χ-Separation in White Matter and Cortical Multiple Sclerosis Lesions

Riccardo Galbusera, Charidimos Tsagkas, Alessandro Cagol, Sabine Schaedelin, Jens Kühle, Yi Wang, Jannis Müller, Po‐Jui Lu, Ludwig Kappos, Matthias Weigel, Esther Ruberte, Muhamed Baraković, Hyeong‐Geol Shin, Mario Ocampo‐Pineda, Cristina Granziera, Pascal Spincemaille, Jong-Ho Lee, Thanh D. Nguyen, Xinjie Chen
article en
16 citations

Abstract

χ-separation, a novel mathematical model applied to multiecho T2*-images and T2-images shows that young RRMS patients with low disability exhibit higher remyelination capacity, which correlated with clinical disability over a 2-year follow-up.

NeurologyVol. 103(6)
Neurology, Inc (US)
Zero hunger
Openalex Percentile: Top 6%
RNA regulation and disease
3.74
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