Dr Martin Wilson BSc, PhD

Dr Martin Wilson

School of Psychology
MR Physicist

Contact details

School of Psychology
University of Birmingham
B15 2TT

Dr Wilson’s research focusses on the non-invasive detection of brain metabolism with Magnetic Resonance Spectroscopy. The goal of his work is to develop new techniques to explore the relationship between brain metabolism, function and health – with an emphasis on detecting early-stage disease processes.


Ph.D., University of Birmingham

BSc (Hons) Physics, University of Warwick


Dr Wilson studied undergraduate Physics at the University of Warwick, before joining a childhood brain tumour research group at the University of Birmingham. There he developed acquisition and analysis methods for NMR and MR spectroscopy to discover clinical biomarkers. More recently he joined the Centre for Human Brain health as an MR Physicist and is currently researching how MR spectroscopy can be used to detect subtle neurometabolic differences between healthy individuals and early-stage disease.

Postgraduate supervision

Dr Wilson supervises PhD students interested in brain metabolism, neuroimaging with magnetic resonance and machine learning.


Dr Wilson is broadly interested in the connection between brain metabolism, function and health. He primarily works on the development of Magnetic Resonance Spectroscopy (MRS) as a non-invasive tool for measuring metabolites in brain tissue. Improvements in analysis and acquisition methodology are expected to yield increased detail and precision in neurometabolic profiles – offering new insight into brain function. He is also interested in combining MRS with machine-learning to reveal novel disease biomarkers and metabolic pathways with therapeutic potential.


OCID ID : https://orcid.org/0000-0002-2089-3956

Scopus Author ID : https://www.scopus.com/authid/detail.uri?authorId=57196691806

Researcher ID : https://publons.com/researcher/1348805/martin-wilson/

Google Scholar : https://scholar.google.com/citations?user=RK7UQ8gAAAAJ&hl=en


Recent publications


Demler, VF, Sterner, EF, Wilson, M, Zimmer, C & Knolle, F 2023, 'Association between increased anterior cingulate glutamate and psychotic-like experiences, but not autistic traits in healthy volunteers', Scientific Reports, vol. 13, no. 1, 12792. https://doi.org/10.1038/s41598-023-39881-1

Murray, AJ, Humpston, CS, Wilson, M, Rogers, JC, Zia Ul Haq Katshu, M, Liddle, PF & Upthegrove, R 2024, 'Measurement of brain glutathione with magnetic Resonance spectroscopy in Schizophrenia-Spectrum disorders: - A systematic review and Meta-Analysis', Brain, Behavior, and Immunity, vol. 115, pp. 3-12. https://doi.org/10.1016/j.bbi.2023.09.017

Foley, EM, Griffiths, L, Murray, A, Rogers, J, Corsi-Zuelli, F, Hickinbotham, H, Warwick, E, Wilson, M, Kaser, M, Murray , GK, Deakin, B, Jadon, D, Suckling, J, Barnes, N, Upthegrove, R & Khandaker, GM 2023, 'Protocol for the Psychosis Immune Mechanism Stratified Medicine (PIMS) trial: a randomised double-blind placebo-controlled trial of single-dose tocilizumab in patients with psychosis', BMJ open, vol. 13, no. 3, e067944. https://doi.org/10.1136/bmjopen-2022-067944

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

Craven, AR, Bhattacharyya, PK, Clarke, W, Dydak, U, Edden, RA, Ersland, L, Mandal, S, Mikkelsen, M, Murdoch, JB, Near, J, Rideaux, R, Shukla, D, Wang, M, Wilson, M, Zöllner, HJ, Hugdahl, K & Oeltzschner, G 2022, 'Comparison of seven modelling algorithms for γ-aminobutyric acid-edited proton magnetic resonance spectroscopy.', NMR in biomedicine, vol. 35, no. 7, e4702. https://doi.org/10.1002/nbm.4702

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

Zhao, T, Grist, JT, Rose, HEL, Davies, NP, Wilson, M, MacPherson, L, Abernethy, LJ, Avula, S, Pizer, B, Gutierrez, DR, Jaspan, T, Morgan, PS, Mitra, D, Bailey, S, Sawlani, V, Arvanitis, TN, Sun, Y & Peet, AC 2022, 'Metabolite selection for machine learning in childhood brain tumour classification', NMR in biomedicine, vol. 35, no. 6, e4673. https://doi.org/10.1002/nbm.4673

Clarke, WT, Bell, TK, Emir, UE, Mikkelsen, M, Oeltzschner, G, Shamaei, A, Soher, BJ & Wilson, M 2022, 'NIfTI‐MRS: a standard data format for magnetic resonance spectroscopy', Magnetic Resonance in Medicine, vol. 88, no. 6, pp. 2358-2370. https://doi.org/10.1002/mrm.29418

Wilson, M 2021, 'Adaptive baseline fitting for 1H MR spectroscopy analysis', Magnetic Resonance in Medicine, vol. 85, no. 1, pp. 13-29. https://doi.org/10.1002/mrm.28385

Jung, J, Laverick, R, Nader, K, Brown, T, Morris, H, Wilson, M, Auer, DP, Rotshtein, P & Hosseini, AA 2021, 'Altered hippocampal functional connectivity patterns in patients with cognitive impairments following ischaemic stroke: a resting-state fMRI study', NeuroImage: Clinical, vol. 32, 102742. https://doi.org/10.1016/j.nicl.2021.102742

Hui, SCN, Mikkelsen, M, Zöllner, HJ, Ahluwalia, V, Alcauter, S, Baltusis, L, Barany, DA, Barlow, LR, Becker, R, Berman, JI, Berrington, A, Bhattacharyya, PK, Blicher, JU, Bogner, W, Brown, MS, Calhoun, VD, Castillo, R, Cecil, KM, Choi, YB, Chu, WCW, Clarke, WT, Craven, AR, Cuypers, K, Dacko, M, De la fuente-Sandoval, C, Desmond, P, Domagalik, A, Dumont, J, Duncan, NW, Dydak, U, Dyke, K, Edmondson, DA, Ende, G, Ersland, L, Evans, CJ, Fermin, ASR, Ferretti, A, Fillmer, A, Gong, T, Greenhouse, I, Grist, JT, Gu, M, Harris, AD, Hat, K, Heba, S, Heckova, E, Hegarty, JP, Heise, K, Honda, S, Jacobson, A, Jansen, JFA, Jenkins, CW, Johnston, SJ, Juchem, C, Kangarlu, A, Kerr, AB, Landheer, K, Lange, T, Lee, P, Levendovszky, SR, Limperopoulos, C, Liu, F, Lloyd, W, Lythgoe, DJ, Machizawa, MG, Macmillan, EL, Maddock, RJ, Manzhurtsev, AV, Martinez-Gudino, ML, Miller, JJ, Mirzakhanian, H, Moreno-Ortega, M, Mullins, PG, Nakajima, S, Near, J, Noeske, R, Nordhøy, W, Oeltzschner, G, Osorio-Duran, R, Otaduy, MCG, Pasaye, EH, Peeters, R, Peltier, SJ, Pilatus, U, Polomac, N, Porges, EC, Pradhan, S, Prisciandaro, JJ, Puts, NA, Rae, CD, Reyes-Madrigal, F, Roberts, TPL, Robertson, CE, Rosenberg, JT, Rotaru, D, O'gorman tuura, RL, Saleh, MG, Sandberg, K, Sangill, R, Schembri, K, Schrantee, A, Semenova, NA, Singel, D, Sitnikov, R, Smith, J, Song, Y, Stark, C, Stoffers, D, Swinnen, SP, Tain, R, Tanase, C, Tapper, S, Tegenthoff, M, Thiel, T, Thioux, M, Truong, P, Van dijk, P, Vella, N, Vidyasagar, R, Vovk, A, Wang, G, Westlye, LT, Wilbur, TK, Willoughby, WR, Wilson, M, Wittsack, H, Woods, AJ, Wu, Y, Xu, J, Lopez, MY, Yeung, DKW, Zhao, Q, Zhou, X, Zupan, G & Edden, RAE 2021, 'Frequency drift in MR spectroscopy at 3T', NeuroImage, vol. 241, 118430, pp. 118430. https://doi.org/10.1016/j.neuroimage.2021.118430

Entry for encyclopedia/dictionary

Pauli, R & Wilson, M 2022, The basic principles of magnetic resonance imaging. in S Della Sala (ed.), Encyclopedia of Behavioral Neuroscience. 2 edn, Elsevier, pp. 105-113. https://doi.org/10.1016/B978-0-12-819641-0.00108-0


Soher, BJ, Clarke, WT, Wilson, M, Near, J & Oeltzschner, G 2022, 'Community‐organized resources for reproducible MRS data analysis', Magnetic Resonance in Medicine, vol. 88, no. 5, pp. 1959-1961. https://doi.org/10.1002/mrm.29387


Lifanov, J, Griffiths, BJ, Linde-Domingo, J, Ferreira, CS, Wilson, M, Mayhew, SD, Charest, I & Wimber, M 2022 'Reconstructing Spatio-Temporal Trajectories of Visual Object Memories in the Human Brain' bioRxiv. https://doi.org/10.1101/2022.12.15.520591

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

View all publications in research portal