Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning

The brain-predicted DD gap is sensitive to MS-related lesions and brain atrophy, adds to the brain-age paradigm in explaining physical disability both cross-sectionally and longitudinally, and may be used as an MS-specific biomarker of disease severity and progression.

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Publication Details

Journal
Neurology
Published
2024-11-04
DOI
https://doi.org/10.1212/wnl.0000000000209976
Citations
13
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
5.52

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article

Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning

Daniela Pinter, Einar August Høgestøl, Massimo Filippi, James H. Cole et al.
13 citations
Neurology
Multiple Sclerosis Research Studies
5.52
article

Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning

Daniela Pinter, Einar August Høgestøl, Massimo Filippi, James H. Cole, Manuela Vaněčková, Ahmed Toosy, Carsten Lukas, Sara Llufriú, Gabriel González‐Escamilla, Charmaine Yam, Michael A. Foster, Jaume Sastre‐Garriga, Eloy Martínez‐Heras, Sergiu Groppa, Alvino Bisecco, Eva M. M. Strijbis, Nicola De Stefano, Christian Enzinger, Claudio Gasperini, Tomáš Uher, Omar Abdel‐Mannan, Giuseppe Pontillo, Yael Hacohen, Paola Valsasina, Rosa Cortese, Marco Castellaro, Jed Wingrove, Alessandro Cagol, Gro Owren Nygaard, Sarmad Al‐Araji, Jens Kühle, Serena Ruggieri, Anna He, Maria Petracca, Sara Collorone, Ferrán Prados, Hanne F. Harbo, Àlex Rovira, Frederik Barkhof, Suraya Mohamud, Olga Ciccarelli, Massimiliano Calabrese, Wallace Brownlee, Baris Kanber, Hugo Vrenken, Ronja Christensen, Menno Michiel Schoonheim, Sirio Cocozza, Alessia Bianchi, Silvia Messina, Jordan Colman, Tarek Yousry, Maria Assunta Rocca, Elisa Colato, Cristina Granziera, Marcello Moccia, Barbara Bellenberg, Antonio Gallo, Arturo Brunetti, Jacqueline A. Palace, Ludwig Kappos, Riccardo Nistri
article en
13 citations

Abstract

The brain-predicted DD gap is sensitive to MS-related lesions and brain atrophy, adds to the brain-age paradigm in explaining physical disability both cross-sectionally and longitudinally, and may be used as an MS-specific biomarker of disease severity and progression.

NeurologyVol. 103(10)
Anna Needs Neuroblastoma Answers (US), University College London (GB)
National Science Foundation, Bristol-Myers Squibb, Eli Lilly and Company, Sanofi, Biogen, Teva Pharmaceutical Industries, Alexion Pharmaceuticals, Celgene, Fondazione Italiana Sclerosi Multipla, European Committee for Treatment and Research in Multiple Sclerosis, International Progressive MS Alliance, Argenx, National Institute for Health and Care Research, European Commission, Rosetrees Trust, Deutsche Forschungsgemeinschaft, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Bundesministerium für Bildung und Forschung, Ministero della Salute, Ministerstvo Zdravotnictví Ceské Republiky, Novo Nordisk, Norges Forskningsråd, Fondation Charcot, University College London Hospitals NHS Foundation Trust, Ipsen, Všeobecná Fakultní Nemocnice v Praze, Chugai Pharmaceutical, Medical Research Council
Reduced inequalities
Openalex Percentile: Top 4%
Multiple Sclerosis Research Studies
5.52
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