Imperial College London


Faculty of MedicineDepartment of Brain Sciences

Professor in Restorative Neurosciences



+44 (0)20 7594 7993a.hampshire




Burlington DanesHammersmith Campus





My research interests focus on understanding what the dimensions of human cognition are, how they relate to brain function, how we can best measure them, and how they are affected in clinical populations. This research involves a combination of large scale cognitive testing, functional and structural brain imaging, experimental psychology, psychometrics, computational modelling and machine learning methods. A popular product of this work is the Cognitron, a flexible online platform that my collaborators and I have developed to enable a wide variety of cognitive studies to be conducted at very large population scale, with repeat assessment timepoints and for minimal cost.

Selected Publications

Journal Articles

Usher I, Hellyer P, Lee KS, et al., 2021, "It's not rocket science" and "It's not brain surgery"-"It's a walk in the park": prospective comparative study, British Medical Journal, Vol:375, ISSN:0959-535X, Pages:1-7

Hampshire A, Hellyer PJ, Trender W, et al., 2021, Insights into the impact on daily life of the COVID-19 pandemic and effective coping strategies from free-text analysis of people's collective experiences, Interface Focus, Vol:11, ISSN:2042-8901, Pages:1-11

Parkin B, Daws R, Das Neves I, et al., 2021, Dissociable effects of age and Parkinson's disease on instruction based learning, Brain Communications, Vol:3, ISSN:2632-1297

Hampshire A, Trender W, Chamberlain SR, et al., 2021, Cognitive deficits in people who have recovered from COVID-19, Eclinicalmedicine, Vol:39

Hampshire A, Hellyer P, Soreq E, et al., 2021, Associations between dimensions of behaviour, personality traits, and mental-health during the COVID-19 pandemic in the United Kingdom, Nature Communications, ISSN:2041-1723

Soreq E, Violante IR, Daws R, et al., 2021, Neuroimaging evidence for a network sampling theory of individual differences in human intelligence, Nature Communications, Vol:12, ISSN:2041-1723

Lorenz R, Johal M, Dick F, et al., 2021, A Bayesian optimization approach for rapidly mapping residual network function in stroke, Brain, Vol:144, ISSN:0006-8950, Pages:2120-2134

Chamberlain SR, Grant JE, Trender W, et al., 2021, Post-traumatic stress disorder symptoms in COVID-19 survivors: online population survey, Bjpsych Open, Vol:7, ISSN:2056-4724

Jolly A, Scott G, Sharp D, et al., 2020, Distinct patterns of structural damage underlie working memory and reasoning deficits after traumatic brain injury, Brain, Vol:143, ISSN:0006-8950, Pages:1158-1176

Hampshire A, Zadel A, Sandrone S, et al., 2020, Inhibition-Related Cortical Hypoconnectivity as a Candidate Vulnerability Marker for Obsessive-Compulsive Disorder, Biological Psychiatry-cognitive Neuroscience and Neuroimaging, Vol:5, ISSN:2451-9022, Pages:222-230

Hampshire A, Sandrone S, Hellyer P, 2019, A large-scale, cross-sectional investigation into the efficacy of brain training, Frontiers in Neuroscience, Vol:13, ISSN:1662-4548, Pages:1-13

Jenkins PO, De Simoni S, Bourke NJ, et al., 2019, Stratifying drug treatment of cognitive impairments after traumatic brain injury using neuroimaging, Brain, Vol:142, ISSN:1460-2156, Pages:2367-2379

Hampshire A, Daws RE, Neves ID, et al., 2019, Probing cortical and sub-cortical contributions to instruction-based learning: Regional specialisation and global network dynamics, Neuroimage, Vol:192, ISSN:1053-8119, Pages:88-100

Soreq E, Leech R, Hampshire A, 2019, Dynamic network coding of working-memory domains and working-memory processes, Nature Communications, Vol:10, ISSN:2041-1723

Lorenz R, Ribeiro Violante I, Monti R, et al., 2018, Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization, Nature Communications, Vol:9, ISSN:2041-1723

Mason SL, Daws RE, Soreq E, et al., 2018, Predicting clinical diagnosis in Huntington's disease: An imaging polymarker, Annals of Neurology, Vol:83, ISSN:0364-5134, Pages:532-543

Daws RE, Hampshire A, 2017, The reasoning and religiosity is underpinned by a bias for intuitive responses specifically when intuition and logic are in conflict, Frontiers in Psychology, Vol:8, ISSN:1664-1078

Sliwinska M, Ribeiro Violante I, Wise R, et al., 2017, Stimulating Multiple-Demand Cortex Enhances Vocabulary Learning, Journal of Neuroscience, Vol:37, ISSN:1529-2401, Pages:7606-7618

Geranmayeh F, Wing Chau T, Wise RJS, et al., 2017, Domain-general subregions of the medial prefrontal cortex contribute to recovery of language after stroke, Brain, Vol:140, ISSN:1460-2156, Pages:1947-1958

Matthews PM, Hampshire A, 2016, Clinical concepts emerging from fMRI functional connectomics, Neuron, Vol:91, ISSN:0896-6273, Pages:511-528

Lorenz R, Hampshire A, Leech R, 2016, Neuroadaptive Bayesian Optimization and Hypothesis Testing, Trends in Cognitive Sciences, Vol:21, ISSN:1364-6613, Pages:155-167

Hampshire A, Hellyer PJ, Parkin B, et al., 2015, Network mechanisms of intentional learning, Neuroimage, Vol:127, ISSN:1095-9572, Pages:123-134

Corbett A, Owen A, Hampshire A, et al., 2015, The Effect of an Online Cognitive Training Package in Healthy Older Adults: An Online Randomized Controlled Trial, Journal of the American Medical Directors Association, Vol:16, ISSN:1525-8610, Pages:990-997

Hampshire A, Sharp DJ, 2015, Contrasting network and modular perspectives on inhibitory control., Trends in Cognitive Sciences, ISSN:1364-6613

Parkin BL, Hellyer PJ, Leech R, et al., 2015, Dynamic network mechanisms of relational integration, Journal of Neuroscience, Vol:35, ISSN:1529-2401, Pages:7660-7673

Hampshire A, 2015, Putting the brakes on inhibitory models of frontal lobe function, Neuroimage, Vol:113, ISSN:1095-9572, Pages:340-355

Winder-Rhodes SE, Hampshire A, Rowe JB, et al., 2015, Association between MAPT haplotype and memory function in patients with Parkinson's disease and healthy aging individuals., Neurobiol Aging, Vol:36, Pages:1519-1528

Scott G, Hellyer PJ, Hampshire A, et al., 2014, Exploring spatiotemporal network transitions in task functional MRI, Hum. Brain Mapp., ISSN:1097-0193, Pages:n/a-n/a

Nombela C, Rowe JB, Winder-Rhodes SE, et al., 2014, Genetic impact on cognition and brain function in newly diagnosed Parkinson's disease: ICICLE-PD study, Brain, Vol:137, ISSN:0006-8950, Pages:2743-2758

Erika-Florence M, Leech R, Hampshire A, 2014, A functional network perspective on response inhibition and attentional control, Nature Communications, Vol:5, ISSN:2041-1723

Hampshire A, MacDonald A, Owen AM, 2013, Hypoconnectivity and Hyperfrontality in Retired American Football Players, Scientific Reports, Vol:3

Hampshire A, Parkin BL, Cusack R, et al., 2013, Assessing residual reasoning ability in overtly non-communicative patients using fMRI, Neuroimage: Clinical, Vol:2, Pages:174-183

Hampshire A, Highfield RR, Parkin BL, et al., 2012, Fractionating human intelligence, Neuron, Vol:76, ISSN:1097-4199, Pages:1225-1237

Hampshire A, Thompson R, Duncan J, et al., 2011, Lateral prefrontal cortex subregions make dissociable contributions during fluid reasoning, Cereb Cortex, Vol:21, ISSN:1460-2199, Pages:1-10

Owen AM, Hampshire A, Grahn JA, et al., 2010, Putting brain training to the test, Nature, Vol:465, ISSN:1476-4687, Pages:775-778

Hampshire A, Chamberlain SR, Monti MM, et al., 2010, The role of the right inferior frontal gyrus: inhibition and attentional control, Neuroimage, Vol:50, ISSN:1095-9572, Pages:1313-1319

Williams-Gray CH, Hampshire A, Barker RA, et al., 2008, Attentional control in Parkinson's disease is dependent on COMT val 158 met genotype, Brain, Vol:131, ISSN:1460-2156, Pages:397-408

Chamberlain SR, Menzies L, Hampshire A, et al., 2008, Orbitofrontal dysfunction in patients with obsessive-compulsive disorder and their unaffected relatives, Science, Vol:321, ISSN:1095-9203, Pages:421-422

Hampshire A, Owen AM, 2006, Fractionating attentional control using event-related fMRI, Cerebral Cortex, Vol:16, ISSN:1047-3211, Pages:1679-1689

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