Professional background

Dr Karen Chung is a specialist neurology consultant in multiple sclerosis. She qualified in Medicine from Guy’s, King’s and St Thomas’ School of Medicine, London, before completing medical and neurology training in Southampton, Sussex and London.

She was awarded an MD(Res) from the University College London (UCL) Institute of Neurology in 2020 for her research work. Her research project, funded by a research grant from the MS Society, looked at the early prognostic markers and long-term outcomes in MS. She has a personal interest in obstetrics care in women with MS, and was awarded a fellowship in the Royal College of Physicians’ Emerging Women Leaders’ Programme in 2020-21.

Research interests

Prognostic markers and long-term outcomes in MS


  • Geraldes R, Jurynczyk M, dos Passos G, Pichler A, Chung KK, Hagens M, Ruggieri S, Auger C, Sastre-Garriga J, Enzinger C, Chard DT, Barkhof F, Gasperini C, Rovira A, De Luca G, Palace J. The role of pontine lesion location in differentiating multiple sclerosis from vascular risk factor related small vessel disease. Multiple Sclerosis Journal 2020. doi: 10.1177/1352458520943777
  • Chung KK, Altmann D, Barkhof F, Miszkiel K, Brex PA, O’Riordan J, Ebner M, Prados F, Cardoso MJ, Vercauteren T, Ourselin S, Thompson A, Ciccarelli O, Chard DT. A 30-Year Clinical and Magnetic Resonance Imaging Observational Study of Multiple Sclerosis and Clinically Isolated Syndromes. Ann Neurol. 2020; 87(1):63-74. doi: 10.1002/ana.25637
  • Geraldes R, Juryn?czyk M, Dos Passos G, Prichler A, Chung KK, Hagens M, Ruggieri S, Huerga E, Sastre-Garriga J, Enzinger C, Chard DT, Barkhof F, Gasperini C, Rovira A, DeLuca GC, Palace J, on behalf of the MAGNIMS study group. Distinct influence of different vascular risk factors on white matter brain lesions in multiple sclerosis. J Neurol Neurosurg Psychiatry 2020; 0:1–4. doi: 10.1136/jnnp-2019-322369
  • Ebner M, Chung KK, Prados F, Cardoso MJ, Chard DT, Vercauteren T, Ourselin S. Volumetric Reconstruction from Printed Films: Enabling 30 Year Longitudinal Analysis in MR Neuroimaging. Neuroimage 2017; 165:238-250. doi: 10.1016/j.neuroimage.2017.09.056