UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
 More search options
Dr Arman Eshaghi
Russell Square House
10-12 Russell Square
London
Appointment
  • Research Associate
  • Neuroinflammation
  • UCL Queen Square Institute of Neurology
  • Faculty of Brain Sciences
Biography

He is currently a research associate at the Department of Neuroinflammation at UCL. He obtained his medical doctorate degree (M.D) from Tehran University of Medical Sciences (the highest ranking medical school in Iran both in research and education) and has been awarded a PhD in Neuroscience from University College London in 2018. He was awarded the Young Investigator of Year in 2016 by the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS). He has been awarded the Jacqueline du PrĂ© Grant in 2011, ECTRIMS-MAGNIMS Fellowship in 2015, and the Multiple Sclerosis International Federation's Ian McDonald Fellowship in 2016. He is currently working as part of the international network of Progressive MS Alliance led by Prof Douglas Arnold (Montreal Neurological Institute, Canada). He is a member of the Progression of Neurodegenerative Disorders (POND) Team at the Centre for Medical Image Computing at the Department of Computer Science at UCL, working closely with Prof Danny Alexander. 

His main research interests are the application of model-based machine learning, Bayesian, and causal inference methods to understand the underlying mechanism of progressive multiple sclerosis. 

Research Themes
Research Summary

Cognitive outcomes: 

Adapted and validated cognitive tests from English to Persian from a battery for multiple sclerosis (MS) patients (MACFIMS). Persian MACFIMS was the first validated non-English adaptation of MACFIMS in the world. Validated the Brief International Cognitive Assessment for MS (BICAMS) as part of an international group.

Eshaghi, A., et al., 2012. Validity and reliability of a Persian translation of the Minimal Assessment of Cognitive Function in Multiple Sclerosis (MACFIMS). The Clinical neuropsychologist 26, 975-84.

Smerbeck, A., Benedict, R.H.B., Eshaghi, A., et al 2017. Influence of nationality on the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS). The Clinical Neuropsychologist 1-9.

Imaging outcomes: 

Integrated imaging modalities to differentiate multiple sclerosis from mimics. Showed brain shrinkage occurs at higher rates specific regions in primary-progressive MS. Showed the order at which neuroanatomical regions are affected by MS. Showed effects of simvastatin in progressive multiple sclerosis are independent of cholesterol lowering effects.

Eshaghi, A.  et al, 2016. Gray matter MRI differentiates neuromyelitis optica from multiple sclerosis using random forest. Neurology 87, 2463_2470.

Eshaghi, A. et al. Classification algorithms with multi-modal data fusion could accurately distinguish neuromyelitis optica from multiple sclerosis. Neuroimage Clinical 7, 306_14.

Eshaghi, A. et al. 2014. Temporal and spatial evolution of grey matter atrophy in primary progressive multiple sclerosis. NeuroImage 86, 257-64.

Eshaghi A. et al. 2018.Deep grey matter volume loss drives disability worsening in multiple sclerosis. Annals of Neurololgy.

Eshaghi A et al. 2018. Progression of regional grey matter atrophy in multiple sclerosis. Brain141, 1665-1677.

Eshaghi A. et al. 2019. Applying causal models to understand the mechanism of action of simvastatin in progressive multiple sclerosis. Proceedings of the National Academy of the United States of America (PNAS).

Other neurodegenerative disorders:

Co-developed a computational model to track the spatiotemporal pattern of progression in the Alzheimer's disease.

Marinescu, R.V., Eshaghi, A., et al, 2019. DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. NeuroImage.

Software development: 

Contributed to NiPype, Advanced Normalisation Tools (ANTs), and ANTsR.


Teaching Summary

Supervised one MSc Student, one MRes student and one PhD student. 

Academic Background
2018 PhD Doctor of Philosophy – Computational Neuroscience University College London
2013 MD Doctor of Medicine – Medicine Tehran University of Medical Science
Please report any queries concerning the data shown on this page to https://www.ucl.ac.uk/hr/helpdesk/helpdesk_web_form.php
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by