Author
National Hospital for Neurology and NeurosurgeryORCID 0000-0002-6652-3512Unclaimed ORCID profile · follow to get notified of new preprints
5 papers
Recent·Most cited
Leon Aksman, Peter A Wijeratne, Neil P. Oxtoby, Arman Eshaghi, Cameron Shand, André Altmann, Daniel C. Alexander, Alexandra L. Young
pySuStaIn provides a Python implementation of the SuStaIn algorithm to infer disease subtypes and stages from cross-sectional data.
SoftwareX · Sep 27, 2021Peer-reviewedNeuroscience
Arman Eshaghi, Rogier Kievit, Ferrán Prados, Carole H. Sudre, Jennifer M. Nicholas, M. Jorge Cardoso, Dennis Chan, Richard S. Nicholas, Sebastien Ourselin A, John Greenwood, Alan J. Thompson, Daniel C. Alexander, Frederik Barkhof, Jeremy Chataway, Olga Ciccarelli
The paper applies multivariate mechanistic models to a clinical trial in multiple sclerosis to investigate pathways linking simvastatin to clinical outcomes.
Proceedings of the National Academy of Sciences · May 9, 2019Peer-reviewedNeuroscience
James Howard Cole, Joel Raffel, Tim Friede, Arman Eshaghi, Wallace J. Brownlee, Declan Chard, Nicola De Stefano, Christian Enzinger, Lukas Pirpamer, Massimo Filippi, Claudio Gasperini, Maria Assunta Rocca, Àlex Rovira, Serena Ruggieri, Jaume Sastre‐Garriga, , on behalf of the MAGNIMS study group
This study finds that multiple sclerosis accelerates brain ageing, with older-appearing brains linked to faster disability progression.
bioRxiv · Mar 23, 2019 · PreprintNeuroscience
Arman Eshaghi, Razvan Valentin Marinescu, Alexandra L. Young, Nicholas C. Firth, Ferrán Prados, M. Jorge Cardoso, Carmen Tur, Floriana De Angelis, Niamh Cawley, Wallace J. Brownlee, Nicola De Stefano, Maria Laura Stromillo, Marco Battaglini, Serena Ruggieri, Claudio Gasperini, , Jacqueline A. Palace
This study identifies the sequence of grey matter atrophy progression in multiple sclerosis using longitudinal MRI data and shows its association with disability accumulation in relapsing-remitting MS.
Brain · Mar 16, 2018Peer-reviewedNeuroscience
Arman Eshaghi, Ferrán Prados, Wallace J. Brownlee, Daniel R. Altmann, Carmen Tur, M. Jorge Cardoso, Floriana De Angelis, Steven H. van de Pavert, Niamh Cawley, Nicola De Stefano, ML Stromillo, Marco Battaglini, Serena Ruggieri, Claudio Gasperini, Massimo Filippi, , Jacqueline A. Palace
This study shows that deep grey matter volume loss predicts faster disability progression in multiple sclerosis, with specific patterns in different disease subtypes.
Annals of Neurology · Jan 13, 2018Peer-reviewedNeuroscience