Imperial College London


Faculty of MedicineDepartment of Medicine

Senior Lecturer in Restorative Neurosciences



+44 (0)20 7594 7993a.hampshire




Burlington DanesHammersmith Campus





I am a Senior Lecturer in the Computational, Cognitive and Clinical Neuroimaging Laboratory, which is part of the Department of Medicine's Division of Brain Sciences.

The overarching aim of my research is to derive a better understanding of how task active networks in the human brain support key aspects of cognition such as attention, motor response inhibition, working memory, planning and reasoning, and how these aspects of cognition are affected in the pathological brain. I apply a wide range of techniques in pursuit of this aim including functional and structural brain imaging, genotyping, machine learning and computational modelling.

I also have a particular interest in the potential applications of technologies that can be used to apply cognitive testing and training in the home. For example, Apps and websites that can assess large-scale cohorts, track clinical populations longitudinally, or deliver cognitive training regimes. 

If you are a student who is interested in undertaking PhD or postdoctoral research in my lab then please feel free to email me directly at

Selected Publications

Journal Articles

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, Violante IR, Monti RP, 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 MW, Violante IR, Wise RJS, et al., 2017, Stimulating Multiple-Demand Cortex Enhances Vocabulary Learning, Journal of Neuroscience, Vol:37, ISSN:0270-6474, Pages:7606-7618

Geranmayeh F, 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:0006-8950, Pages:1947-1958

Lorenz R, Hampshire A, Leech R, 2017, Neuroadaptive Bayesian Optimization and Hypothesis Testing, Trends in Cognitive Sciences, Vol:21, ISSN:1364-6613, Pages:155-167

Matthews PM, Hampshire A, 2016, Clinical Concepts Emerging from fMRI Functional Connectomics, Neuron, Vol:91, ISSN:0896-6273, Pages:511-528

Hampshire A, Hellyer PJ, Parkin B, et al., 2016, Network mechanisms of intentional learning, Neuroimage, Vol:127, ISSN:1053-8119, 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, Vol:19, ISSN:1364-6613, Pages:445-452

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

Parkin BL, Hellyer PJ, Leech R, et al., 2015, Dynamic Network Mechanisms of Relational Integration, Journal of Neuroscience, Vol:35, ISSN:0270-6474, Pages:7660-7673

Scott G, Hellyer PJ, Hampshire A, et al., 2015, Exploring Spatiotemporal Network Transitions in Task Functional MRI, Human Brain Mapping, Vol:36, ISSN:1065-9471, Pages:1348-1364

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

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., Sci Rep, 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, 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, Pages:1-10

Owen AM, Hampshire A, Grahn JA, et al., 2010, Putting brain training to the test, Nature, Vol:465, ISSN:0028-0836, Pages:775-U6

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

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

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, Pages:397-408

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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