Professor Andrew Bagshaw BSc, MSc, PhD

Professor Andrew Bagshaw

School of Psychology
Professor of Imaging Neuroscience

Contact details

Telephone
+44 (0)121 414 3683
Email
a.p.bagshaw@bham.ac.uk
View my research portal
Address
School of Psychology
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

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.

Qualifications

BSc, MSc, PhD

Biography

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 (a.p.bagshaw@bham.ac.uk).

Research

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.

www.birmingham.ac.uk/chbh

Other activities

Professor Bagshaw sits on the Scientific Advisory Committee of Epilepsy Research UK (https://epilepsyresearch.org.uk/). He is also Chair of the Midlands Medical Imaging Network (http://birmingham.ac.uk/mmin), and co-Chair of the Birmingham Epilepsy Research Network.

Publications

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. https://doi.org/10.1016/j.smrv.2021.101416

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. https://doi.org/10.1016/j.neuroimage.2021.117840

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. https://doi.org/10.1142/S0129065720500616

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. https://doi.org/10.1016/j.sleep.2019.05.001

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. https://doi.org/10.1093/sleep/zsz033

Recent publications

Article

Wu, B, Bagshaw, A, Hickey, C, Kühn, S & Wilson, M 2022, 'Evidence for distinct neuro-metabolic phenotypes in humans', NeuroImage, vol. 249, 118902. https://doi.org/10.1016/j.neuroimage.2022.118902

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. https://doi.org/10.1002/hbm.25541

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. https://doi.org/10.1142/S0129065721500118

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. https://doi.org/10.3791/60448

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. https://doi.org/10.5664/jcsm.8042

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. https://doi.org/10.1002/brb3.1172

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. https://doi.org/10.1002/brb3.943

Mayhew, S & Bagshaw, A 2017, 'Dynamic spatiotemporal variability of alpha-BOLD relationships during the resting-state and task evoked responses', NeuroImage. https://doi.org/10.1016/j.neuroimage.2017.04.051

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. https://doi.org/10.1016/j.nbscr.2017.03.001

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. https://doi.org/10.1016/j.nicl.2017.07.008

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. https://doi.org/10.1016/j.neuroimage.2017.01.017

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. https://doi.org/10.1016/j.neuroimage.2015.10.041

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. https://doi.org/10.17605/osf.io/k5qpx

Preprint

Vella, O, Bagshaw, AP & Wilson, M 2022 'SLIPMAT: a pipeline for extracting tissue-specific spectral profiles from 1H MR spectroscopic imaging data' bioRxiv. https://doi.org/10.1101/2022.11.15.516599

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. https://doi.org/10.1016/j.neubiorev.2020.10.014

View all publications in research portal