Professor Andrew Bagshaw BSc, MSc, PhD

Professor Andrew Bagshaw

School of Psychology
Professor of Imaging Neuroscience

Contact details

School of Psychology
University of Birmingham
B15 2TT

Professor Bagshaw's main interest is in developing and applying non-invasive neuroimaging methods to questions in clinical and behavioural neuroscience. Current work in the Multimodal Integration Group (MIG) focuses on using EEG-fMRI to understand the influence of ongoing brain activity on evoked and behavioural responses, and to examine the localisation and functional significance of electrophysiological discharges in epilepsy and sleep. The group is also working on methods to combine structural and functional brain networks in order to shed light on how sleep and epilepsy affect the brain.


BSc, MSc, PhD


Andy Bagshaw is a physicist by training, having completed a PhD in Nuclear Physics at the University of Manchester in 1998. He went on to undertake postdoctoral positions at City University London, University College London (UCL), and the Montreal Neurological Institute (MNI). It was at UCL and subsequently the MNI that he first worked on the development of brain imaging techniques, with a specific focus on epilepsy. He has worked at the University of Birmingham since 2005, where he is Professor of Imaging Neuroscience and Co-Director of the Centre for Human Brain Health.

Postgraduate supervision

Professor Bagshaw currently supervises or co-supervises 5 PhD students. Prospective students are always welcome to get in touch (


Professor Bagshaw is interested in developing the combination of EEG and fMRI to provide more precise spatial and temporal localisation of brain activity. Measuring both the electrical and haemodynamic responses to a task or neural event offers the possibility of new insights into the basic mechanisms of brain function, and greater understanding of disorders of function, such as epilepsy and sleep disorders. The Multimodal Integration Group (MIG) are using EEG-fMRI to study response covariability in single trials with robust sensory paradigms, developing methods to improve data quality based on independent component analysis and methods to integrate the data based on information theory, as well as using these techniques to study questions in cognitive neuroscience, sleep and epilepsy. They are also examining the link between the information provided by structural and functional imaging and that from neuropsychological testing in order to understand more about the effect of epilepsy on normal brain functions.

Other activities

Professor Bagshaw sits on the Scientific Advisory Committee of Epilepsy Research UK ( He is also Chair of the Midlands Medical Imaging Network (, and co-Chair of the Birmingham Epilepsy Research Network.


Highlight publications

Winsor, A, Richards, C, Bissell, S, Seri, S, Liew, A & Bagshaw, A 2021, 'Sleep disruption in children and adolescents with epilepsy: a systematic review and meta-analysis', Sleep Medicine Reviews, vol. 57, 101416.

Facer-Childs, E, Machado de Campos, B, Middleton, B, Skene, DJ & Bagshaw, A 2021, 'Temporal organisation of the brain’s intrinsic motor network: the relationship with circadian phenotype and motor performance', NeuroImage, vol. 232, 117840.

Porcaro, C, Mayhew, S, Marino, M, Mantini, D & Bagshaw, A 2020, 'Characterisation of haemodynamic activity in resting state networks by fractal analysis', International Journal of Neural Systems, vol. 30, no. 12, 2050061.

Facer-Childs, E, Middleton, B, Skene, D & Bagshaw, A 2019, 'Resetting the late timing of ‘night owls’ has a positive impact on mental health and performance', Sleep Medicine, vol. 60, pp. 236-247.

Facer-Childs, E, Machado de Campos, B, Middleton, B, Skene, D & Bagshaw, A 2019, 'Circadian phenotype impacts the brain’s resting state functional connectivity, attentional performance and sleepiness', Sleep, vol. 42, no. 5, zsz033.

Recent publications


Wu, B, Bagshaw, A, Hickey, C, Kühn, S & Wilson, M 2022, 'Evidence for distinct neuro-metabolic phenotypes in humans', NeuroImage, vol. 249, 118902.

Moore, M, Maclin, EL, Iordan, AD, Katsumi, Y, Larsen, RJ, Bagshaw, AP, Mayhew, S, Shafer, AT, Sutton, BP, Fabiani, M, Gratton, G & Dolcos, F 2021, 'Proof-of-concept evidence for trimodal simultaneous investigation of human brain function', Human Brain Mapping, vol. 42, no. 13, pp. 4102-4121.

Porcaro, C, Mayhew, S & Bagshaw, A 2021, 'Role of the ipsilateral primary motor cortex in the visuo-motor network during fine contractions and accurate performance', International Journal of Neural Systems, vol. 31, no. 6, 2150011.

Facer-Childs, ER, Middleton, B, Bagshaw, AP & Skene, DJ 2020, 'Human Circadian Phenotyping and Diurnal Performance Testing in the Real World', Journal of Visualized Experiments , vol. 2020, no. 158, e60448.

Khalsa, S, Qureshi, K, Bagshaw, A & Rather, A 2019, 'Late diagnosis of narcolepsy with cataplexy: a novel case of cataplectic facies presenting in an elderly woman', The Journal of Clinical Sleep Medicine, vol. 15, no. 11, pp. 1687–1690.

Wilson, R, Mayhew, S, Rollings, D, Goldstone, A, Hale, J & Bagshaw, A 2019, 'Objective and subjective measures of prior sleep–wake behavior predict functional connectivity in the default mode network during NREM sleep', Brain and Behavior, vol. 9, no. 1, e01172.

Goldstone, A, Mayhew, S, Hale, J, Wilson, R & Bagshaw, A 2018, 'Thalamic functional connectivity and its association with behavioural performance in older age', Brain and Behavior, vol. 8, no. 4, e00943.

Mayhew, S & Bagshaw, A 2017, 'Dynamic spatiotemporal variability of alpha-BOLD relationships during the resting-state and task evoked responses', NeuroImage.

Khalsa, S, Hale, J, Goldstone, A, Wilson, R, Mayhew, S, Bagary, M & Bagshaw, A 2017, 'Habitual sleep durations and subjective sleep quality predict white matter differences in the human brain', Neurobiology of Sleep and Circadian Rhythms, vol. 3, pp. 17-25.

Bagshaw, A, Hale, J, Campos, B, Rollings, D, Wilson, R, Alvim, M, Coan, AC & Cendes, F 2017, 'Sleep onset uncovers thalamic abnormalities in patients with idiopathic generalised epilepsy', NeuroImage: Clinical, vol. 16, pp. 52-57.

Mayhew, S, Porcaro, C, Tecchio, F & Bagshaw, A 2017, 'fMRI characterisation of widespread brain networks relevant for behavioural variability in fine hand motor control with and without visual feedback', NeuroImage, vol. 148, pp. 330-342.

Hale, J, White, T, Mayhew, S, Wilson, R, Rollings, D, Khalsa, S, Arvanitis, T & Bagshaw, A 2016, 'Altered thalamocortical and intra-thalamic functional connectivity during light sleep compared with wake', NeuroImage, vol. 125, pp. 657-667.

Other contribution

Agar, G, Brown, C, Bagshaw, A, Devine, RT, Symons, F & Richards, C 2020, The role of impulsivity in self-injurious behaviour. Center for Open Science.


Vella, O, Bagshaw, AP & Wilson, M 2022 'SLIPMAT: a pipeline for extracting tissue-specific spectral profiles from 1H MR spectroscopic imaging data' bioRxiv.

Review article

Heinze, K, Cumming, J, Dosanjh, A, Palin, S, Poulton, S, Bagshaw, AP & Broome, MR 2021, 'Neurobiological evidence of longer-term physical activity interventions on mental health outcomes and cognition in young people: a systematic review of randomised controlled trials', Neuroscience and biobehavioral reviews, vol. 120, pp. 431-441.

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