Imperial College London


Faculty of MedicineDepartment of Brain Sciences

Senior Clinical Research Fellow





10L21Charing Cross HospitalCharing Cross Campus





Paul Bentley is Clinical Director of the Imperial College Network Of Excellence in Rehabilitation Technology; Senior Lecturer; and Consultant Neurologist within Brain Sciences, Imperial College London. After training at Cambridge and UCL, he undertook a research fellowship in Psychology Dept, Harvard, and a PhD in Cognitive Neuroscience at UCL. He is the first UK neurologist to have been dually-accredited in stroke medicine by the Royal College of Physicians. Awards include: UK Stroke Association Fellowship; Dept. of Health 'New Blood' Award; NHS England Innovation Prize; UK Stroke Forum Prize; Association of British Neurologists Prize. He leads on a NIHR-funded project developing the world's first "social network" of physical-interactive rehabilitation; and is the Clinical Founder of a multinational start-up for exercise-gaming therapy (Gripable).


Our group are actively mining within the 21st Century MedTech "Gold Rush" - wherein everyday smartdevices, wearables, AI, and robotics are brought to bear against the biggest healthcare problems facing humanity. We develop techniques that improve diagnosis, prediction, monitoring, treatment and cost-efficiency. We work closely with world experts in Bioengineering and Machine Learning, ensuring that technical innovation is focused towards the most pressing clinical challenges. Particular interests are neuroimaging, behavioural monitoring, robotics and wearables. 

Notable achievements include:

1. Inventing a low-cost gaming device supporting disabled people who need physiotherapy. The device increases exercise intensity in a broad range of patient types, without requiring extra professional supervision. The device is now used by >350 centres worldwide and >8000 patients (See: The Sun Article; The Mirror FeatureBBC News Feature(In collaboration with Human Robotics Group, Imperial College).

2. Developing automated imaging analytic methods that quantify stroke or dementia severity using the most widely used type of brain scan (CT). The method is now used by international registries of stroke treatment e.g. HERMES. Acknowledged in: Lancet Editorial - Research Highlights 2018 (ref. #1); Chief Medical Officer, UK Government, Annual Report (pp.205, ref#21). (In collaboration with Medical Imaging Analysis Group, Imperial College).

3. World-first trial of immunoselected CD34 stem cells in stoke, delivered directly to the brain. See: Telegraph ArticleGuardian Article; Washington Post.

4. Demonstrating that paralysis after stroke is caused by damage not just to "movement" parts of the brain (i.e. motor) but also the "thinking" parts of the brain (i.e. executive) (see PNAS article).

BBC News feature on Gripable. 2022

BBC News feature on Gripable. 2022

BBC News feature on Gripable. 2022

BBC News feature on Gripable. 2022

Selected Publications

Journal Articles

Broderick M, Almedom L, Burdet E, et al., 2021, Self-Directed Exergaming for Stroke Upper Limb Impairment Increases Exercise Dose Compared to Standard Care, Neurorehabilitation and Neural Repair, Vol:35, ISSN:1545-9683, Pages:974-985

Formstone L, Huo W, Wilson S, et al., 2021, Quantification of motor function post-stroke using wearable inertial and ,echanomyographic Sensors, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol:29, ISSN:1534-4320, Pages:1158-1167

Auepanwiriyakul C, Waibel S, Songa J, et al., 2020, Accuracy and acceptability of wearable motion tracking for inpatient monitoring using smartwatches, Sensors, Vol:20, ISSN:1424-8220

Chen L, Carlton Jones AL, Mair G, et al., 2018, Rapid automated quantification of cerebral leukoaraiosis on CT: a multicentre validation study, Radiology, Vol:288, ISSN:0033-8419, Pages:573-581

Rinne P, Hassan M, Fernandes C, et al., 2018, Motor dexterity and strength depend upon integrity of the attention-control system, Proceedings of the National Academy of Sciences of the United States of America, Vol:115, ISSN:0027-8424, Pages:E536-E545

Chen L, Bentley P, Rueckert D, 2017, Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks, Neuroimage: Clinical, Vol:15, ISSN:2213-1582, Pages:633-643

Rinne P, Mace M, Nakornchai T, et al., 2016, Democratizing Neurorehabilitation: How Accessible are Low-Cost Mobile-Gaming Technologies for Self-Rehabilitation of Arm Disability in Stroke?, PLOS One, Vol:11, ISSN:1932-6203

Banerjee* S, Bentley* P, Hamady M, et al., 2014, Intra-Arterial Immunoselected CD34+ Stem Cells for Acute Ischemic Stroke, Stem Cells Transl Med, Vol:pii: sctm.2013-0178. [Epub ahead of print]

Rinne P, Hassan M, Goniotakis D, et al., 2013, Triple dissociation of attention networks in stroke according to lesion location, Neurology, Vol:81, ISSN:0028-3878, Pages:812-820

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