Professor Andrew Bagshaw BSc, MSc, PhD

School of Psychology
Professor of Imaging Neuroscience

Contact details

Telephone: +44 (0)121 414 3683
Email: a.p.bagshaw@bham.ac.uk

Address: School of Psychology
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Professor Bagshaw's main focus is on understanding how the human brain is impacted by sleep and epilepsy, with a particular emphasis on the role of the thalamus. He is also interested in understanding how ongoing brain activity influences brain and behavioural responses. This work requires new tools to be developed and applied, particularly for the acquisition and analysis of simultaneously recorded electroencephalography (EEG) and functional MRI (fMRI) data, and for linking functional data with brain structure. Current work in the Multimodal Integration Group (MIG) is investigating the role of the thalamus and particularly the thalamic reticular nucleus in sleep and attention, and the role sleep plays in neurodevelopmental and neurological conditions.

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

Mason, SL, Junges, L, Woldman, W, Ftouni, S, Anderson, C, Terry, JR & Bagshaw, AP 2024, 'Associating EEG functional networks and the effect of sleep deprivation as measured using psychomotor vigilance tests', Scientific Reports, vol. 14, no. 1, 27999. https://doi.org/10.1038/s41598-024-78814-4

Ingram, BT, Mayhew, SD & Bagshaw, AP 2024, 'Brain state dynamics differ between eyes open and eyes closed rest', Human Brain Mapping, vol. 45, no. 10, e26746. https://doi.org/10.1002/hbm.26746

O’Sullivan, R, Bissell, S, Agar, G, Spiller, J, Surtees, A, Heald, M, Clarkson, E, Khan, A, Oliver, C, Bagshaw, AP & Richards, C 2024, 'Exploring an objective measure of overactivity in children with rare genetic syndromes', Journal of Neurodevelopmental Disorders, vol. 16, no. 1, 18. https://doi.org/10.1186/s11689-024-09535-y

Winsor, AA, Richards, C, Seri, S, Liew, A & Bagshaw, AP 2024, 'Quality of life in children with epilepsy: The role of parental mental health and sleep disruption', Epilepsy & Behavior, vol. 158, 109941. https://doi.org/10.1016/j.yebeh.2024.109941

Manitsa, I, Gregory, AM, Broome, MR, Bagshaw, AP, Marwaha, S & Morales‐Muñoz, I 2024, 'Shorter night‐time sleep duration and later sleep timing from infancy to adolescence', Journal of Child Psychology and Psychiatry. https://doi.org/10.1111/jcpp.14004

Sanchez Panchuelo, RM, Flintham, R, Wesolowski, R, Jalali, R, Herbert, J, Samarasekera, S, Bagshaw, AP, Chelvarajah, R, Davies, NP & Sawlani, V 2024, 'Test-retest reliability of the “Home Town Walk” fMRI paradigm for memory activation and lateralization in the pre-surgical evaluation of patients with temporal lobe epilepsy', Frontiers in neurology, vol. 15, 1419047. https://doi.org/10.3389/fneur.2024.1419047

Junges, L, Galvis, D, Winsor, A, Treadwell, G, Richards, C, Seri, S, Johnson, S, Terry, JR & Bagshaw, AP 2024, 'The impact of paediatric epilepsy and co-occurring neurodevelopmental disorders on functional brain networks in wake and sleep', PLOS One, vol. 19, no. 8, e0309243. https://doi.org/10.1371/journal.pone.0309243

Marinelli, I, Walker, JJ, Seneviratne, U, D’Souza, W, Cook, MJ, Anderson, C, Bagshaw, A, Lightman, SL, Woldman, W & Terry, J 2023, 'Circadian distribution of epileptiform discharges in epilepsy: candidate mechanisms of variability', PLoS Computational Biology, vol. 19, no. 10, e1010508. https://doi.org/10.1371/journal.pcbi.1010508

Mason, SL, Junges, L, Woldman, W, Facer-Childs, ER, Campos, BMD, Bagshaw, AP & Terry, JR 2023, 'Classification of human chronotype based on fMRI network-based statistics', Frontiers in Neuroscience, vol. 17, 1147219. https://doi.org/10.3389/fnins.2023.1147219

O'Sullivan, R, Bissell, S, Hamilton, A, Bagshaw, A & Richards, C 2023, 'Concordance of objective and subjective measures of sleep in children with neurodevelopmental conditions: A systematic review and metaanalysis', Sleep Medicine Reviews, vol. 71, 101814. https://doi.org/10.1016/j.smrv.2023.101814

Vella, O, Bagshaw, AP & Wilson, M 2023, 'SLIPMAT: A pipeline for extracting tissue-specific spectral profiles from ¹H MR spectroscopic imaging data', NeuroImage, vol. 277, 120235. https://doi.org/10.1016/j.neuroimage.2023.120235

Winsor, A, Richards, C, Seri, S, Liew, A & Bagshaw, A 2023, 'The contribution of sleep and co-occurring neurodevelopmental conditions to quality of life in children with epilepsy', Epilepsy Research, vol. 194, 107188. https://doi.org/10.1016/j.eplepsyres.2023.107188

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

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

UK mTBI Predict Consortium, Sassani, M, Ghafari, T, Arachchige, PRW, Idrees, I, Gao, Y, Waitt, A, Weaver, SRC, Mazaheri, A, Lyons, HS, Grech, O, Thaller, M, Witton, C, Bagshaw, AP, Wilson, M, Park, H, Brookes, M, Novak, J, Mollan, SP, Hill, LJ, Lucas, SJE, Mitchell, JL, Sinclair, AJ, Mullinger, K & Fernandez-Espejo, D 2025, 'Current and prospective roles of magnetic resonance imaging in mild traumatic brain injury', Brain Communications. https://doi.org/10.1093/braincomms/fcaf120

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