Imperial College London


Faculty of MedicineDepartment of Brain Sciences

Clinical Research Fellow







Commonwealth BuildingHammersmith Campus





Dr Fatemeh Geranmayeh is an MRC funded Clinician Scientist and proleptic Senior Clinical Lecturer at the Department of Brain Sciences, Imperial College London, where she leads the Clinical Language and Cognition (CLC) group. She is also an Honorary Consultant Neurologist at Imperial College Healthcare NHS Trust.  She obtained a First Class Honours BSc degree in Neuroscience in 2004 for which she also recieved the Goldberg-Schachmann and Freda Becker Award from the University of London. She obtained her medical degree in 2006 and was awarded an Academic Clinical Fellowship in Neurology in 2008 funded by the NIHR. Subsequently she completed her PhD through a Wellcome Trust Research Training Fellowship in 2015. She then undertook a post-doctoral clinical fellowship at Imperial College London before completing her clinical training.

Her current research investigates the neural mechanisms of recovery of language and cognitive functions after cerebrovascular disease. She uses advanced neuroimaging, artificial intelligence and brain stimulation to study changes in behaviour and neural networks post brain injury. She is the lead for the IC3 study ( She has a clinical interest in vascular cognitive impairment and language impairment secondary to neurodegenerative diseases.

She is a member of The Clinical Academic Training Forum (CATF), a UK-wide group representing key stakeholders in training the future clinical academic workforce.



Liew S-L, Schweighofer N, Cole JH, et al., 2023, Association of Brain Age, Lesion Volume, and Functional Outcome in Patients With Stroke., Neurology, Vol:100, Pages:e2103-e2113

Geranmayeh F, barban A, Leech R, et al., 2023, Cerebrovascular reactivity has negligible contribution to haemodynamic lag after stroke: implications for fMRI studies., Stroke, Vol:54, ISSN:0039-2499, Pages:1066-1077

Geranmayeh F, 2022, Cholinergic neurotransmitter system: a potential marker for post-stroke cognitive recovery (vol 145, pg 1576, 2022), Brain, Vol:145, ISSN:0006-8950, Pages:E81-E81

Liew S-L, Lo BP, Donnelly MR, et al., 2022, A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms, Scientific Data, Vol:9

Zavaliangos-Petropulu A, Lo B, Donnelly MR, et al., 2022, Chronic stroke sensorimotor impairment is related to smaller hippocampal volumes: an ENIGMA analysis, Journal of the American Heart Association, Vol:11, ISSN:2047-9980, Pages:1-30

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