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Gro O Nygaard

Showing results (11-20 of 18) with videos related to

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Brain and Behavior|July 22, 2017
Fatigue and cognition: Pupillary responses to problem-solving in early multiple sclerosis patientsSigrid A de Rodez Benavent, Gro O Nygaard, Hanne F Harbo, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|August 21, 2014
Cortical thickness and surface area relate to specific symptoms in early relapsing-remitting multiple sclerosisGro O Nygaard, Kristine B Walhovd, Piotr Sowa, et al.
Brain Communications|May 8, 2025
Brain age in multiple sclerosis: a study with deep learning and traditional machine learningLars Skattebøl, Gro O Nygaard, Esten H Leonardsen, et al.
The New England Journal of Medicine|July 1, 2026
Rituximab versus Ocrelizumab in Newly Diagnosed Relapsing Multiple SclerosisØivind Torkildsen, Hilde Kjelgaard Brustad, Einar August Høgestøl, et al.
British Journal of Haematology|March 7, 2022
Rituximab-treated patients with lymphoma develop strong CD8 T-cell responses following COVID-19 vaccinationJon Riise, Saskia Meyer, Isaac Blaas, et al.
Network Neuroscience (Cambridge, Mass.)|April 27, 2026
Structure-function multilayer network integration and cognition in multiple sclerosisLucas C Breedt, Giuseppe Pontillo, Fernando A N Santos, et al.
Human Brain Mapping|December 31, 2024
More Than the Sum of Its Parts: Disrupted Core Periphery of Multiplex Brain Networks in Multiple SclerosisGiuseppe Pontillo, Ferran Prados, Alle Meije Wink, et al.
Neurology|November 4, 2024
Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning: The Brain-Predicted Disease Duration GapGiuseppe Pontillo, Ferran Prados, Jordan Colman, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Brain and Behavior|July 22, 2017
Fatigue and cognition: Pupillary responses to problem-solving in early multiple sclerosis patientsSigrid A de Rodez Benavent, Gro O Nygaard, Hanne F Harbo, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|August 21, 2014
Cortical thickness and surface area relate to specific symptoms in early relapsing-remitting multiple sclerosisGro O Nygaard, Kristine B Walhovd, Piotr Sowa, et al.
Brain Communications|May 8, 2025
Brain age in multiple sclerosis: a study with deep learning and traditional machine learningLars Skattebøl, Gro O Nygaard, Esten H Leonardsen, et al.
The New England Journal of Medicine|July 1, 2026
Rituximab versus Ocrelizumab in Newly Diagnosed Relapsing Multiple SclerosisØivind Torkildsen, Hilde Kjelgaard Brustad, Einar August Høgestøl, et al.
British Journal of Haematology|March 7, 2022
Rituximab-treated patients with lymphoma develop strong CD8 T-cell responses following COVID-19 vaccinationJon Riise, Saskia Meyer, Isaac Blaas, et al.
Network Neuroscience (Cambridge, Mass.)|April 27, 2026
Structure-function multilayer network integration and cognition in multiple sclerosisLucas C Breedt, Giuseppe Pontillo, Fernando A N Santos, et al.
Human Brain Mapping|December 31, 2024
More Than the Sum of Its Parts: Disrupted Core Periphery of Multiplex Brain Networks in Multiple SclerosisGiuseppe Pontillo, Ferran Prados, Alle Meije Wink, et al.
Neurology|November 4, 2024
Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning: The Brain-Predicted Disease Duration GapGiuseppe Pontillo, Ferran Prados, Jordan Colman, et al.
Pageof 2