
Professor Krishna Singh
BSc Dunelm, PhD Open
Professor, Head of Human Electrophysiology
- singhkd@cardiff.ac.uk
- +44(0)29 2087 4690
- Cardiff University Brain Research Imaging Centre, Maindy Road, Cardiff, CF24 4HQ
Overview
Research
My research uses non-invasive imaging of the human brain using magnetic resonance imaging (MRI) and Magnetoencephalography (MEG).
Originally from a Physics background, I now consider myself to be a Neuroscientist - working at the interface between methodological development and clinical and cognitive neuroscience applications. I help support broader multidisciplinary research across the College of Biomedical and Life Sciences, as Theme Lead for Mind, Brain and Neuroscience.
I arrived in Cardiff in 2005 to help lead the new Cardiff University Brain Research Imaging Centre (CUBRIC). Here, my main role is to facilitate multimodal neuroimaging research in cognitive and clinical applications, with a specific remit to champion non-invasive human electrophysiology research using EEG and MEG. As part of this, I have helped build cross-disciplinary research collaborations across Cardiff University, including with colleagues in the Schools of Medicine and Biosciences, within Cardiff's Neuroscience and Mental Health Research Insititute. This has led to collaborative research programmes in Epilepsy, Schizophrenia and Alzheimer’s disease, including studies of electrophysiological markers of genetic risk.
I also help build and sustain the UK’s highly-collaborative MEG scientific community, through our MEG-UK Partnership. I recently led an MRC-funded Partnership grant that linked all UK MEG research groups together in developing common training, acquisition and analysis approaches for MEG research, as well as creating a multisite multi-platform database of MEG data.
Teaching summary
I am Module leader for one of the modules on our Neuroimaging MSc, PST512: “Introduction to Neuroimaging Methods. This is a course which is designed to give students insight into the principles behind modern non-invasive neuroimaging techniques. Topics covered include: The principles of MRI and structural imaging, DTI, fMRI, TMS, TDCS, neurophysiology, EEG and MEG.
Biography
Undergraduate education
1984 – 1987: Collingwood College, University of Durham. BSc in Physics (First Class Hons)
Postgraduate education
1987 – 1991: Department of Physics, The Open University, Milton Keynes. PhD in Physics.
Employment
2000 - 2005: Senior Lecturer, School of Life and Health Sciences, Aston University.
1998 - 2000: Lecturer. MARIARC, School of Medicine, Liverpool University.
1996 - 1998: Research Fellow. Psychology, Royal Holloway College, University of London.
1992 - 1996: Research Fellow. Department of Vision Sciences, Aston University, Birmingham.
1991 - 1992: Research Fellow. Department of Physics, The Open University, Milton Keynes.
Publications
2021
- Antunes Lopes, M.et al. 2021. A computational biomarker of juvenile myoclonic epilepsy from resting-state MEG. Clinical Neurophysiology 132(4), pp. 922-927. (10.1016/j.clinph.2020.12.021)
- Messaritaki, E.et al. 2021. Predicting MEG resting-state functional connectivity using microstructural information. Network Neuroscience (10.1162/netn_a_00187)
- Godfrey, M. and Singh, K. D. 2021. Measuring robust functional connectivity from resting-state MEG using amplitude and entropy correlation across frequency-bands and temporal scales. NeuroImage 226, article number: 117551. (10.1016/j.neuroimage.2020.117551)
- Dimitriadis, S. I.et al. 2021. Global brain flexibility during working memory is reduced in a high genetic risk group for schizophrenia. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging (10.1016/j.bpsc.2021.01.007)
- Shaw, A. D.et al. 2021. Tiagabine induced modulation of oscillatory connectivity and activity match PET-derived, canonical GABA-A receptor distributions. European Neuropsychopharmacology
2020
- Perry, G.et al. 2020. The gamma response to colour hue in humans: evidence from MEG. PLoS ONE 15(12), article number: e0243237. (10.1371/journal.pone.0243237)
- Gascoyne, L. E.et al. 2020. Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity. NeuroImage: Clinical 29, article number: 102524. (10.1016/j.nicl.2020.102524)
- Alamian, G.et al. 2020. Patient, interrupted: MEG oscillation dynamics reveal temporal dysconnectivity in schizophrenia. NeuroImage: Clinical 28, article number: 102485. (10.1016/j.nicl.2020.102485)
- Shaw, A. D.et al. 2020. Generative modelling of the thalamo-cortical circuit mechanisms underlying the neurophysiological effects of ketamine. NeuroImage 221, article number: 117189. (10.1016/j.neuroimage.2020.117189)
- Dima, D. C.et al. 2020. Electrophysiological network alterations in adults with copy number variants associated with high neurodevelopmental risk. Translational Psychiatry 10, article number: 324. (10.1038/s41398-020-00998-w)
- Egerton, A.et al. 2020. Dopamine and glutamate in antipsychotic-responsive compared with antipsychotic-nonresponsive psychosis: a multicenter positron emission tomography and magnetic resonance spectroscopy study (STRATA). Schizophrenia Bulletin (10.1093/schbul/sbaa128)
- Routley, B.et al. 2020. Juvenile myoclonic epilepsy shows increased posterior theta, and reduced sensorimotor beta resting connectivity. Epilepsy Research 163, article number: 106324. (10.1016/j.eplepsyres.2020.106324)
- Shaw, A. D.et al. 2020. GABAA receptor mapping in human using non-invasive electrophysiology. BioRxiv
- Krzeminski, D.et al. 2020. Energy landscape of resting magnetoencephalography reveals frontoparietal network impairments in epilepsy. Network Neuroscience 4(2), pp. 374-396. (10.1162/netn_a_00125)
2019
- Shaw, A. D.et al. 2019. Oscillatory, computational and behavioural evidence for impaired GABAergic inhibition in schizophrenia. Schizophrenia Bulletin 46(2), pp. 345-353. (10.1093/schbul/sbz066)
- Koelewijn, L.et al. 2019. Oscillatory hyperactivity and hyperconnectivity in young APOE-ɛ4 carriers and hypoconnectivity in Alzheimer's disease. eLife 8, article number: e36011. (10.7554/eLife.36011)
- Stickland, R.et al. 2019. Neurovascular coupling during visual stimulation in Multiple Sclerosis: a MEG-fMRI study. Neuroscience 403, pp. 54-69. (10.1016/j.neuroscience.2018.03.018)
- Lancaster, T. M.et al. 2019. Structural and functional neuroimaging of polygenic risk for schizophrenia: a recall-by-genotype-based approach. Schizophrenia Bulletin 45(2), pp. 405-414. (10.1093/schbul/sby037)
- Puts, N.et al. 2019. Induced and evoked properties of vibrotactile adaptation in primary somatosensory cortex. Neural Plasticity 2019, article number: 5464096. (10.1155/2019/5464096)
2018
- Dimitriadis, S.et al. 2018. A novel, fast, reliable and data-driven method for simultaneous single-trial mining and amplitude - latency estimation based on proximity graphs and network analysis. Frontiers in Neuroinformatics 12, article number: 59. (10.3389/fninf.2018.00059)
- Dima, D. C.et al. 2018. Spatiotemporal dynamics in human visual cortex rapidly encode the emotional content of faces. Human Brain Mapping 39(10), pp. 3993-4006. (10.1002/hbm.24226)
- Dima, D., Perry, G. and Singh, K. 2018. Spatial frequency supports the emergence of categorical representations in visual cortex during natural scene perception. NeuroImage 179, pp. 102-116. (10.1016/j.neuroimage.2018.06.033)
- Dimitriadis, S.et al. 2018. Reliability of static and dynamic network metrics in the resting-state: a MEG-beamformed connectivity analysis. Frontiers in Neuroscience 12, article number: 506. (10.3389/fnins.2018.00506)
- Sumner, R. L.et al. 2018. Peak visual gamma frequency is modified across the healthy menstrual cycle. Human Brain Mapping 39(8), pp. 3187-3202. (10.1002/hbm.24069)
- Allen, C.et al. 2018. Evidence for parallel activation of the pre-supplementary motor area and inferior frontal cortex during response inhibition: a combined MEG and TMS study. Royal Society Open Science 5(2), article number: 171369. (10.1098/rsos.171369)
- Magazzini, L. and Singh, K. . D. 2018. Spatial attention modulates visual gamma oscillations across the human ventral stream. NeuroImage 166, pp. 219-229. (10.1016/j.neuroimage.2017.10.069)
2017
- Routley, B.et al. 2017. The effects of AMPA receptor blockade on resting magnetoencephalography recordings. Journal of Psychopharmacology 31(12), pp. 1527-1536. (10.1177/0269881117736915)
- Koelewijn, L.et al. 2017. Alzheimer's disease disrupts alpha and beta-band resting-state oscillatory network connectivity. Clinical Neurophysiology 128(11), pp. 2347-2357. (10.1016/j.clinph.2017.04.018)
- Shaw, A. D.et al. 2017. Neurophysiologically-informed markers of individual variability and pharmacological manipulation of human cortical gamma. NeuroImage 161, pp. 19-31. (10.1016/j.neuroimage.2017.08.034)
- Messaritaki, E.et al. 2017. Assessment and elimination of the effects of head movement on MEG resting-state measures of oscillatory brain activity. NeuroImage 159, pp. 302-324. (10.1016/j.neuroimage.2017.07.038)
- Kirby, A.et al. 2017. Benign childhood epilepsy with centrotemporal spikes (BECTS) and developmental co-ordination disorder. Epilepsy & Behavior 72, pp. 122-126. (10.1016/j.yebeh.2017.04.014)
- Uhlhaas, P. J.et al. 2017. Magnetoencephalography as a tool in psychiatric research: current status and perspective. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2(3), pp. 235-244. (10.1016/j.bpsc.2017.01.005)
2016
- Pinotsis, D. A.et al. 2016. Intersubject variability and induced gamma in the visual cortex: DCM with empirical bayes and neural fields. Human Brain Mapping 37(12), pp. 4597-4614. (10.1002/hbm.23331)
- Magazzini, L.et al. 2016. Significant reductions in human visual gamma frequency by the GABA reuptake inhibitor tiagabine revealed by robust peak frequency estimation. Human Brain Mapping 37(11), pp. 3882-3896. (10.1002/hbm.23283)
- Hunt, B. A. E.et al. 2016. Relationships between cortical myeloarchitecture and electrophysiological networks. Proceedings of the National Academy of Sciences 113(47), pp. 13510-13515. (10.1073/pnas.1608587113)
- Mikkelsen, M.et al. 2016. Quantification of y-aminobutyric acid (GABA) in 1 H MRS volumes composed heterogeneously of grey and white matter. NMR in Biomedicine 29(11), pp. 1644-1655. (10.1002/nbm.3622)
- Hanley, C. J., Singh, K. D. and McGonigle, D. J. 2016. Transcranial modulation of brain oscillatory responses: A concurrent tDCS-MEG investigation. NeuroImage 140, pp. 20-32. (10.1016/j.neuroimage.2015.12.021)
- Hamandi, K.et al. 2016. Retinotopic fMRI and tumour resection in a case with occipital lobe epilepsy. Seizure - European Journal of Epilepsy 41, pp. 175-178. (10.1016/j.seizure.2016.08.006)
- Muthukumaraswamy, S. D.et al. 2016. The effects of AMPA blockade on the spectral profile of human early visual cortex recordings studied with non-invasive MEG. Cortex 81, pp. 266-275. (10.1016/j.cortex.2016.03.004)
- Carhart-Harris, R. L.et al. 2016. Neural correlates of the LSD experience revealed by multimodal neuroimaging. Proceedings of the National Academy of Sciences 113(17), pp. 4853-4858. (10.1073/pnas.1518377113)
- Mikkelsen, M.et al. 2016. Comparison of the repeatability of GABA-edited magnetic resonance spectroscopy with and without macromolecule suppression. Magnetic Resonance in Medicine 75(3), pp. 946-953. (10.1002/mrm.25699)
- Hamandi, K.et al. 2016. Non-invasive brain mapping in epilepsy: applications from magnetoencephalography. Journal of Neuroscience Methods 260, pp. 283-291. (10.1016/j.jneumeth.2015.11.012)
- Brindley, L.et al. 2016. Ipsilateral cortical motor desynchronisation is reduced in benign epilepsy with centro-temporal spikes. Clinical Neurophysiology 127(2), pp. 1147-1159. (10.1016/j.clinph.2015.08.020)
- Dimitriadis, S.et al. 2016. A prolonged maturational time course in brain development for cortical processing of temporal modulations. Clinical Neurophysiology 127(2), pp. 994-998. (10.1016/j.clinph.2015.09.001)
2015
- Dunkley, B. T.et al. 2015. Evidence that smooth pursuit velocity, not eye position, modulates alpha and beta oscillations in human middle temporal cortex. Human Brain Mapping 36(12), pp. 5220-5232. (10.1002/hbm.23006)
- Koelewijn, L.et al. 2015. Resting-state oscillatory dynamics in sensorimotor cortex in benign epilepsy with centro-temporal spikes and typical brain development. Human Brain Mapping 36(10), pp. 3935-3949. (10.1002/hbm.22888)
- Robson, S. E.et al. 2015. Structural and neurochemical correlates of individual differences in gamma frequency oscillations in human visual cortex. Journal of Anatomy 227(4), pp. 409-417. (10.1111/joa.12339)
- Shaw, A. D.et al. 2015. Ketamine amplifies induced gamma frequency oscillations in the human cerebral cortex. European Neuropsychopharmacology 25(8), pp. 1136-1146. (10.1016/j.euroneuro.2015.04.012)
- Perry, G.et al. 2015. Linear tuning of gamma amplitude and frequency to luminance contrast: evidence from a continuous mapping paradigm. PLoS ONE 10(4), article number: e0124798. (10.1371/journal.pone.0124798)
- Brealy, J.et al. 2015. Increased visual gamma power in schizoaffective bipolar disorder. Psychological Medicine -London- 45(4), pp. 783-794. (10.1017/S0033291714001846)
- Bompas, A.et al. 2015. The contribution of pre-stimulus neural oscillatory activity to spontaneous response time variability. NeuroImage 107, pp. 34-45. (10.1016/j.neuroimage.2014.11.057)
- Hinton, E. C.et al. 2015. Reasoning with linear orders: Differential parietal cortex activation in sub-clinical depression. An fMRI investigation in sub-clinical depression and controls. Frontiers in Human Neuroscience 8, article number: 1061. (10.3389/fnhum.2014.01061)
2014
- Campbell, A.et al. 2014. Acute effects of alcohol on stimulus-induced gamma oscillations in human primary visual and motor cortices. Neuropsychopharmacology -New York- 39(9), pp. 2104-2113. (10.1038/npp.2014.58)
- Perry, G.et al. 2014. Evidence for increased visual gamma responses in photosensitive epilepsy. Epilepsy Research 108(6), pp. 1076-1086. (10.1016/j.eplepsyres.2014.04.012)
- Mundy, M. E.et al. 2014. Brain correlates of experience-dependent changes in stimulus discrimination based on the amount and schedule of exposure. PLoS ONE 9(6), article number: e101011. (10.1371/journal.pone.0101011)
- Allen, C.et al. 2014. Enhanced awareness followed reversible inhibition of human visual cortex: a combined TMS, MRS and MEG study. PLoS ONE 9(6), pp. e100350. (10.1371/journal.pone.0100350)
- Dymond, S.et al. 2014. Almost winning: Induced MEG theta power in insula and orbitofrontal cortex increases during gambling near-misses and is associated with BOLD signal and gambling severity. NeuroImage 91, pp. 210-219. (10.1016/j.neuroimage.2014.01.019)
- Perry, G. and Singh, K. 2014. Localizing evoked and induced responses to faces using magnetoencephalography. European Journal of Neuroscience 39(9), pp. 1517-1527. (10.1111/ejn.12520)
2013
- Koelewijn, L.et al. 2013. Spatial attention increases high-frequency gamma synchronisation in human medial visual cortex. NeuroImage 79, pp. 295-303. (10.1016/j.neuroimage.2013.04.108)
- Muthukumaraswamy, S. D.et al. 2013. Broadband cortical desynchronization underlies the human psychedelic state. Journal of Neuroscience 33(38), pp. 15171-15183. (10.1523/JNEUROSCI.2063-13.2013)
- Muthukumaraswamy, S. D.et al. 2013. Elevating endogenous GABA levels with GAT-1 blockade modulates evoked but not induced responses in human visual cortex. Neuropsychopharmacology 38(6), pp. 1105-1112. (10.1038/npp.2013.9)
- Dunkley, B. T.et al. 2013. Cortical oscillatory changes in human middle temporal cortex underlying smooth pursuit eye movements. Human Brain Mapping 34(4), pp. 837-851. (10.1002/hbm.21478)
- Muthukumaraswamy, S. D. and Singh, K. D. 2013. Visual gamma oscillations: The effects of stimulus type, visual field coverage and stimulus motion on MEG and EEG recordings. NeuroImage 69, pp. 223-230. (10.1016/j.neuroimage.2012.12.038)
- Shaw, A.et al. 2013. Marked reductions in visual evoked responses but not y-aminobutyric acid concentrations or y-band measures in remitted depression. Biological Psychiatry 73(7), pp. 691-698. (10.1016/j.biopsych.2012.09.032)
- Perry, G.et al. 2013. The properties of induced gamma oscillations in human visual cortex show individual variability in their dependence on stimulus size. Neuroimage 68, pp. 83-92. (10.1016/j.neuroimage.2012.11.043)
- Saxena, N.et al. 2013. Enhanced stimulus-induced gamma activity in humans during propofol-induced sedation. PLoS ONE 8(3), article number: e57685. (10.1371/journal.pone.0057685)
- Muthukumaraswamy, S.et al. 2013. The effects of elevated endogenous GABA levels on movement-related network oscillations. Neuroimage 66, pp. 36-41. (10.1016/j.neuroimage.2012.10.054)
- Evans, C. J.et al. 2013. Subtraction artifacts and frequency (Mis-)alignment in J-difference GABA editing. Journal of Magnetic Resonance Imaging 38(4), pp. 970-975. (10.1002/jmri.23923)
- Swettenham, J., Muthukumaraswamy, S. D. and Singh, K. D. 2013. BOLD responses in human primary visual cortex are insensitive to substantial changes in neural activity. Frontiers in Human Neuroscience 7, article number: 76. (10.3389/fnhum.2013.00076)
2012
- Gaetz, W.et al. 2012. Functional and structural correlates of the aging brain: Relating visual cortex (V1) gamma band responses to age-related structural change. Human Brain Mapping 33(9), pp. 2035-2046. (10.1002/hbm.21339)
- Fan, Z.et al. 2012. The role of sustained posterior brain activity in the serial chaining of two cognitive operations: A MEG study. Psychophysiology 49(8), pp. 1133-1144. (10.1111/j.1469-8986.2012.01391.x)
- Singh, K. D. 2012. Which "neural activity" do you mean? fMRI, MEG, oscillations and neurotransmitters. NeuroImage 62(2), pp. 1121-1130. (10.1016/j.neuroimage.2012.01.028)
- Muthukumaraswamy, S. D.et al. 2012. Individual variability in the shape and amplitude of the BOLD-HRF correlates with endogenous GABAergic inhibition. Human Brain Mapping 33(2), pp. 455-465. (10.1002/hbm.21223)
- Fan, Z.et al. 2012. The cost of serially chaining two cognitive operations. Psychological Research 76(5), pp. 566-578. (10.1007/s00426-011-0375-y)
2011
- Morgan, H. M.et al. 2011. Feature integration in visual working memory: parietal gamma activity is related to cognitive coordination. Journal of Neurophysiology 106(6), pp. 3185-3194. (10.1152/jn.00246.2011)
- Kennedy, J. S., Singh, K. D. and Muthukumaraswamy, S. D. 2011. An MEG investigation of the neural mechanisms subserving complex visuomotor coordination. International Journal of Psychophysiology 79(2), pp. 296-304. (10.1016/j.ijpsycho.2010.11.003)
- Hamandi, K., Singh, K. D. and Muthukumaraswamy, S. D. 2011. Reduced movement-related beta desynchronisation in juvenile myoclonic epilepsy: A MEG study of task specific cortical modulation. Clinical Neurophysiology 122(11), pp. 2128-2138. (10.1016/j.clinph.2011.04.017)
- Koelewijn, L.et al. 2011. Induced and evoked neural correlates of orientation selectivity in human visual cortex. NeuroImage 54(4), pp. 2983-2993. (10.1016/j.neuroimage.2010.11.045)
- Muthukumaraswamy, S. D. and Singh, K. D. 2011. A cautionary note on the interpretation of phase-locking estimates with concurrent changes in power. Clinical Neurophysiology 122(11), pp. 2324-2325. (10.1016/j.clinph.2011.04.003)
- Boy, F.et al. 2011. Dorsolateral Prefrontal γ-Aminobutyric Acid in Men Predicts Individual Differences in Rash Impulsivity. Biological Psychiatry 70(9), pp. 866-872. (10.1016/j.biopsych.2011.05.030)
- Sheppard, A. L.et al. 2011. Three-Dimensional Magnetic Resonance Imaging of the Phakic Crystalline Lens during Accommodation. Investigative Ophthalmology & Visual Science 52(6), pp. 3689-3697. (10.1167/iovs.10-6805)
2010
- Boy, F.et al. 2010. Individual differences in subconscious motor control predicted by GABA concentration in SMA. Current Biology 20(19), pp. 1779-1785. (10.1016/j.cub.2010.09.003)
- Sumner, P.et al. 2010. More GABA, less distraction: a neurochemical predictor of motor decision speed. Nature Neuroscience 13(7), pp. 825-827. (10.1038/nn.2559)
- Muthukumaraswamy, S. D.et al. 2010. Visual gamma oscillations and evoked responses: Variability, repeatability and structural MRI correlates. NeuroImage 49(4), pp. 3349-3357. (10.1016/j.neuroimage.2009.11.045)
- Tattersall, R. J.et al. 2010. Ex vivo magnetic resonance imaging of crystalline lens dimensions in chicken. Molecular Vision 16(18), pp. 144-153.
- Barnes, G. R.et al. 2010. Decreased Gray Matter Concentration in the Lateral Geniculate Nuclei in Human Amblyopes. Investigative Ophthalmology & Visual Science 51(3), pp. 1432-1438. (10.1167/iovs.09-3931)
- Boy, F.et al. 2010. Supplementary motor area activations in unconscious inhibition of voluntary action. Experimental Brain Research 206(4), pp. 441-448. (10.1007/s00221-010-2417-x)
2009
- Edden, R. A. E.et al. 2009. Orientation discrimination performance is predicted by GABA concentration and gamma oscillation frequency in human primary visual cortex. The Journal of Neuroscience 29(50), pp. 15721-15726. (10.1523/JNEUROSCI.4426-09.2009)
- Swettenham, J. B., Muthukumaraswamy, S. D. and Singh, K. D. 2009. Spectral properties of induced and evoked gamma oscillations in human early visual cortex to moving and stationary stimuli. Journal of Neurophysiology 102(2), pp. 1241-1253. (10.1152/jn.91044.2008)
- Muthukumaraswamy, S. D. and Singh, K. D. 2009. Functional decoupling of BOLD and gamma-band amplitudes in human primary visual cortex. Human Brain Mapping 30(7), pp. 2000-2007. (10.1002/hbm.20644)
- Muthukumaraswamy, S. D.et al. 2009. Resting GABA concentration predicts peak gamma frequency and fMRI amplitude in response to visual stimulation in humans. Proceedings of the National Academy of Sciences of the United States of America 106(20), pp. 8356-8361. (10.1073/pnas.0900728106)
- Goodall, N.et al. 2009. 3-Dimensional modelling of chick embryo eye development and growth using high resolution magnetic resonance imaging. Experimental Eye Research 89(4), pp. 511-521. (10.1016/j.exer.2009.05.014)
- Bridson, N. C.et al. 2009. Magnetoencephalographic correlates of processes supporting long-term memory judgments. Brain Research 1283, pp. 73-83. (10.1016/j.brainres.2009.05.093)
- Simpson, M. I. G.et al. 2009. MEG evidence that the central auditory system simultaneously encodes multiple temporal cues. European Journal of Neuroscience 30(6), pp. 1183-1191. (10.1111/j.1460-9568.2009.06900.x)
2008
- Singh, K. D. and Fawcett, I. P. 2008. Transient and linearly graded deactivation of the human default-mode network by a visual detection task. NeuroImage 41(1), pp. 100-112. (10.1016/j.neuroimage.2008.01.051)
- Muthukumaraswamy, S. D. and Singh, K. D. 2008. Spatiotemporal frequency tuning of BOLD and gamma band MEG responses compared in primary visual cortex. NeuroImage 40(4), pp. 1552-1560. (10.1016/j.neuroimage.2008.01.052)
- Muthukumaraswamy, S. D. and Singh, K. D. 2008. Modulation of the human mirror neuron system during cognitive activity. Psychophysiology 45(6), pp. 896-905. (10.1111/j.1469-8986.2008.00711.x)
2007
- Henson, R.et al. 2007. Population-level inferences for distributed MEG source localization under multiple constraints: Application to face-evoked fields. Neuroimage 38(3), pp. 422-438. (10.1016/j.neuroimage.2007.07.026)
- Maratos, F. A.et al. 2007. The spatial distribution and temporal dynamics of brain regions activated during the perception of object and non-object patterns. Neuroimage 34(1), pp. 371-383. (10.1016/j.neuroimage.2006.09.017)
- Fawcett, I. P., Hillebrand, A. and Singh, K. D. 2007. The temporal sequence of evoked and induced cortical responses to implied-motion processing in human motion area V5/MT+. European Journal of Neuroscience 26(3), pp. 775-783. (10.1111/j.1460-9568.2007.05707.x)
- Herrington, J. D.et al. 2007. The role of MT+/V5 during biological motion perception in Asperger Syndrome: An fMRI study. Research in Autism Spectrum Disorders 1(1), pp. 14-27. (10.1016/j.rasd.2006.07.002)
- Smith, A. T., Singh, K. D. and Balsters, J. H. 2007. A comment on the severity of the effects of non-white noise in fMRI time-series. NeuroImage 36(2), pp. 282-288. (10.1016/j.neuroimage.2006.09.044)
- McNab, F.et al. 2007. Semantic and phonological task-set priming and stimulus processing investigated using magnetoencephalography (MEG). Neuropsychologia 45(5), pp. 1041-1054. (10.1016/j.neuropsychologia.2006.09.008)
2006
- Barnes, G. R.et al. 2006. A verifiable solution to the MEG inverse problem. Neuroimage 31(2), pp. 623-626. (10.1016/j.neuroimage.2005.12.036)
- Smith, A. T.et al. 2006. Sensitivity to optic flow in human cortical areas MT and MST. European Journal of Neuroscience 23(2), pp. 561-569. (10.1111/j.1460-9568.2005.04526.x)
- Singh, K. D., Logan, N. S. and Gilmartin, B. 2006. Three-Dimensional Modeling of the Human Eye Based on Magnetic Resonance Imaging. Investigative Ophthalmology & Visual Science 47(6), pp. 2272-2279. (10.1167/iovs.05-0856)
2005
- Hall, S. D.et al. 2005. Distinct contrast response functions in striate and extra-striate regions of visual cortex revealed with magnetoencephalography (MEG). Clinical Neurophysiology 116(7), pp. 1716-1722. (10.1016/j.clinph.2005.02.027)
- Hadjipapas, A.et al. 2005. Assessing interactions of linear and nonlinear neuronal sources using MEG beamformers: a proof of concept. Clinical Neurophysiology 116(6), pp. 1300-1313. (10.1016/j.clinph.2005.01.014)
- Brookes, M. J.et al. 2005. GLM-beamformer method demonstrates stationary field, alpha ERD and gamma ERS co-localisation with fMRI BOLD response in visual cortex. NeuroImage 26(1), pp. 302-308. (10.1016/j.neuroimage.2005.01.050)
- Hall, S. D.et al. 2005. The missing link: analogous human and primate cortical gamma oscillations. Neuroimage 26(1), pp. 13-17. (10.1016/j.neuroimage.2005.01.009)
- Hobson, A. R.et al. 2005. Real-time imaging of human cortical activity evoked by painful esophageal stimulation. Gastroenterology 128(3), pp. 610-619. (10.1053/j.gastro.2004.12.033)
- Hillebrand, A.et al. 2005. A new approach to neuroimaging with magnetoencephalography. Human Brain Mapping 25(2), pp. 199-211. (10.1002/hbm.20102)
2004
- Brookes, M. J.et al. 2004. A general linear model for MEG beamformer imaging. Neuroimage 23(3), pp. 936-946. (10.1016/j.neuroimage.2004.06.031)
- Barnes, G. R.et al. 2004. Realistic spatial sampling for MEG beamformer images. Human Brain Mapping 23(2), pp. 120-127. (10.1002/hbm.20047)
- Pammer, K.et al. 2004. Visual word recognition: the first half second. Neuroimage 22(4), pp. 1819-1825. (10.1016/j.neuroimage.2004.05.004)
- Furlong, P. L.et al. 2004. Dissociating the spatio-temporal characteristics of cortical neuronal activity associated with human volitional swallowing in the healthy adult brain. Neuroimage 22(4), pp. 1447-1455. (10.1016/j.neuroimage.2004.02.041)
- Adjamian, P.et al. 2004. Induced visual illusions and gamma oscillations in human primary visual cortex. European Journal of Neuroscience 20(2), pp. 587-592. (10.1111/j.1460-9568.2004.03495.x)
- Fawcett, I. P.et al. 2004. The temporal frequency tuning of visual cortex investigated using synthetic aperture magnetometry. NeuroImage 21(4), pp. 1542-1553. (10.1016/j.neuroimage.2003.10.045)
- Smith, A. T., Williams, A. L. and Singh, K. D. 2004. Negative BOLD in the visual cortex: Evidence against blood stealing. Human Brain Mapping 21(4), pp. 213-220. (10.1002/hbm.20017)
- Hall, S. D.et al. 2004. Spatio-temporal imaging of cortical desynchronization in migraine visual aura: A magnetoencephalography case study. Headache 44(3), pp. 204-208. (10.1111/j.1526-4610.2004.04048.x)
- Adjamian, P.et al. 2004. Co-registration of magnetoencephalography with magnetic resonance imaging using bite-bar-based fiducials and surface-matching. Clinical Neurophysiology 115(3), pp. 691-698. (10.1016/j.clinph.2003.10.023)
2003
- Holliday, I. E.et al. 2003. Accuracy and applications of group MEG studies using cortical source locations estimated from participants' scalp surfaces. Human Brain Mapping 20(3), pp. 142-147. (10.1002/hbm.10133)
- Singh, K. D., Barnes, G. R. and Hillebrand, A. 2003. Group Imaging of task-related changes in cortical synchronisation using non-parametric permutation testing. NeuroImage 19(4), pp. 1589-1601. (10.1016/S1053-8119(03)00249-0)
- Williams, A. L., Singh, K. D. and Smith, A. T. 2003. Surround modulation measured with functional MRI in the human visual cortex. Journal of Neurophysiology 89(1), pp. 525-533. (10.1152/jn.00048.2002)
2002
- Singh, K. D.et al. 2002. Task-related changes in cortical synchronisation are spatially coincident with the hemodynamic response. NeuroImage 16(1), pp. 103-114. (10.1006/nimg.2001.1050)
- Brooks, J. C. W.et al. 2002. fMRI of thermal pain: Effects of stimulus laterality and attention. Neuroimage 15(2), pp. 293-301. (10.1006/nimg.2001.0974)
2001
- Smith, A. T.et al. 2001. Estimating receptive field size from fMRI data in human striate and extrastriate visual cortex. Cerebral Cortex 11(12), pp. 1182-1190. (10.1093/cercor/11.12.1182)
- Dickins, D. W.et al. 2001. An fMRI study of stimulus equivalence. Neuroreport 12(2), pp. 405-411.
2000
- Singh, K. D., Smith, A. T. and Greenlee, M. W. 2000. Spatiotemporal frequency and direction sensitivities of human visual areas measured using fMRI. Neuroimage 12(5), pp. 550-564. (10.1006/nimg.2000.0642)
- Smith, A., Scott-Samuel, N. E. and Singh, K. D. 2000. Global motion adaptation. Vision Research 40(9), pp. 1069-1075. (10.1016/S0042-6989(00)00014-6)
- Smith, A. T., Singh, K. D. and Greenlee, M. W. 2000. Attentional suppression of activity in the human visual cortex. Neuroreport 11(2), pp. 271-277.
1999
- Turnbull, G. K.et al. 1999. The cortical topography of human anorectal musculature. Gastroenterology 117(1), pp. 32-39. (10.1016/S0016-5085(99)70547-0)
1998
- Hamdy, S.et al. 1998. Recovery of swallowing after dysphagic stroke relates to functional reorganization in the intact motor cortex. Gastroenterology 115(5), pp. 1104-1112. (10.1016/S0016-5085(98)70081-2)
- Bastings, E. P.et al. 1998. Co-registration of cortical magnetic stimulation and functional magnetic resonance imaging. Neuroreport 9(9), pp. 1941-1946.
- Smith, A. T.et al. 1998. The processing of first- and second-order motion in human visual cortex assessed by functional magnetic resonance imaging (fMRI). Journal of Neuroscience 18(10), pp. 3816-3830.
- Hamdy, S.et al. 1998. Long-term reorganization of human motor cortex driven by short-term sensory stimulation. Nature Neuroscience 1(1), pp. 64-68. (10.1038/264)
- Furlong, P. L.et al. 1998. Cortical localisation of magnetic fields evoked by oesophageal distension. Electroencephalography and clinical neurophysiology. Evoked potentials 108(3), pp. 234-243. (10.1016/S0168-5597(98)00016-1)
1997
- Singh, K. D.et al. 1997. Topographic mapping of trans-cranial magnetic stimulation data on surface rendered MR images of the brain. Electroencephalography and clinical neurophysiology. Electromyography and motor control. 105(5), pp. 345-351. (10.1016/S0924-980X(97)96699-6)
- Fylan, F.et al. 1997. Magnetoencephalographic investigation of human cortical area V1 using color stimuli. Neuroimage 6(1), pp. 47-57. (10.1006/nimg.1997.0273)
- Singh, K. D.et al. 1997. Evaluation of MRI-MEG/EEG co-registration strategies using Monte Carlo simulation. Electroencephalography and clinical neurophysiology 102(2), pp. 81-85. (10.1016/S0921-884X(96)96570-4)
1996
- Hamdy, S.et al. 1996. The cortical topography of human swallowing musculature in health and disease. Nature Medicine 2(11), pp. 1217-1224. (10.1038/nm1196-1217)
- Anderson, S. J.et al. 1996. Localization and functional analysis of human cortical area V5 using magneto-encephalography. Proceedings of the Royal Society: Series B Biological Sciences 263(1369), pp. 423-431. (10.1098/rspb.1996.0064)
1995
- Singh, K. D. 1995. Functional imaging of the brain using superconducting magnetometry. Endeavour 19(1), pp. 39-44. (10.1016/0160-9327(95)98893-K)
1994
- Singh, K. D.et al. 1994. Distributed current analyses of bi-hemispheric magnetic N1m responses to ipsi/contralateral monaural stimuli from a single subject. Electroencephalography and Clinical Neurophysiology/Evoked potentials 92(4), pp. 365-368. (10.1016/0168-5597(94)90104-X)
1993
- Toannides, A. A.et al. 1993. Comparison of single current dipole and Magnetic Field Tomography analyses of the cortical response to auditory stimuli. Brain Topography 6(1), pp. 27-34. (10.1007/BF01234124)
1991
- Ribary, U.et al. 1991. Magnetic field tomography of coherent thalamocortical 40-Hz oscillations in humans. Proceedings of the National Academy of Sciences of the United States of America 88(24), pp. 11037-11041.
Teaching
I am Module leader for one of the modules on our Neuorimaging MSc, PST512: “Introduction to Neuroimaging Methods. This is a course which is designed to give students insight into the principles behind modern non-invasive neuroimaging techniques. Topics covered include: The principles of MRI and structural imaging, DTI, fMRI, TMS, TDCS, neurophysiology, EEG and MEG.
Research Programmes
- fMRI and MEG studies of human visual cortex, including the relationship between the haemodynamic response and cortical oscillatory activity e.g. Singh et al., Neuroimage 2002, vol 16.
- Studies demonstrating that Magnetoencephalography (MEG) can provided sensitive and time-resolved markers of pharmacological action, enabling both mechanistic insights and electrophysiological evidence of novel target engagement in multiple receptor systems: GABA (10.1002/hbm.23283,10.1016/j.neuroimage.2017.08.034), AMPA (10.1177/0269881117736915, 10.1016/j.cortex.2016.03.004) and NMDA (10.1016/j.euroneuro.2015.04.012, 10.1016/j.neuroimage.2020.117189).
- Oscillatory biomarkers in health and disease: Recently, I have become interested in using MEG measured oscillatory parameters to help characterise synaptic function in diseases that are thought to depend on impairments to these systems, such as Schizophrenia and Epilepsy. For example, together with clinical colleagues, we showed an impairment of normal beta desynchronisation in patients with juvenile myoclonic epilepsy (Hamandi et al., Clinical Neurophysiology 2011, vol 122(11)). In a recent MEG study, we showed that young healthy carriers of the APOE4 risk gene showed oscillatory hyper-connectivity and hyper-activity across the cortex, in regions similar to those that showed reduced connectivity in older people with established Alzheimer's disease (eLife 2019;8:e36011).
- Recently, with colleagues from the School of Medicine, we showed how visual gamma responses were impaired in chronic Schizophrenia, and that, using neurophysiologically-informed modelling (DCM), we could gain insight into how these arose from a disruption of the normal coupling within/between inhibitory interneurons and pyramidal cells - methods that will be crucially important in the proposed project (Schizophrenia Bulletin, sbz066).
- The use of Magnetic Resonance Spectroscopy to assess variability in neurotransmitters (such as GABA) and how this determines both oscillatory dynamics and function (Muthukumaraswamy et al., PNAS 2009, vol 106; Edden et al., J. Neurosci. 2009, vol 29(50)).
- Studying how individual variability in the brain's structure and function leads to variability in perceptual and cognitive performance: For example, we showed that performance on visual orientation discrimination was correlated with individual variability in both GABA concentration and visual gamma frequency in healthy humans. (Edden et al., J. Neurosci. 2009, vol 29(50)).
Recent Key Research Papers
- Dima DC, Adams R, Linden SC, Baird A, Smith J, Foley S, Perry G, Routley BC, Magazzini L, Drakesmith M, Williams N, Doherty J, van den Bree MBM, Owen MJ, Hall J, Linden DEJ, Singh KD (2020) Electrophysiological network alterations in adults with copy number variants associated with high neurodevelopmental risk. Translational Psychiatry10(1), 324 (PMCID: PMC7506525). In this resting-state MEG paper, we show that oscillatory connectivity is different in people carrying rare genetic variants, such as 22q11 deletions, and that machine-learning approaches allow cross-group classification. The results show that while some electrophysiological features are CNV-specific, others reflect more convergent neurobiological processes.
- Shaw AD, Knight L, Freeman TCA, Williams GM, Moran, Friston KJ, Walters TR and Singh KD. (2020). Oscillatory, computational and behavioural evidence for impaired GABAergic inhibition in schizophrenia, Schizophrenia Bulletin, 46(2), 345-353. (PMCID: PMC7442335). Using MEG, MR spectroscopy and visual psychophysics, we identify several data features that differ in chronic schizophrenia, compared to controls. Many of these disease-related changes in gamma oscillations, GABA and orientation discrimination can be linked to reductions in GABAergic inhibition – this is made explicit via neurophysiologically-informed modelling (DCM).
- Shaw AD, Muthukumaraswamy SD, Saxena N, Sumner RL, Adams NE, Moran RJ, Singh KD (2020). Generative modelling of the thalamo-cortical circuit mechanisms underlying the neurophysiological effects of ketamine. Neuroimage. 221:117189. (PMCID pending). We show how DCM-modelling of source-localised MEG data, measured before and during ketamine infusion, can investigate receptor-specific circuit changes induced by this NMDA antagonist. Our optimised model can be deployed in other drug studies and also in disease-cohort studies where neurotransmitter-specific modulations are hypothesised, such as NMDAR impairments in Schizophrenia or genetic risk of Schizophrenia.
- Koelewijn L., Lancaster T.M., Linden D., Dima D.C., Routley B.C., Magazzini L., Barawi K., Brindley L., Adams R., Tansey K.E., Bompas A., Tales A., Bayer A., Singh K.D. (2019). Oscillatory hyperactivity and hyperconnectivity in young APOE-e4 carriers and hypoconnectivity in Alzheimer’s disease. eLife 2019;8:e36011 (PMCID PMC6491037), 10.7554/eLife.36011. Using resting-state MEG in young carriers of APOE-e4, we found oscillatory hyperactivity/hyperconnectivity compared to non-carriers. This is consistent with animal data showing hyperactivity associated with amyloid-beta and later disease transition. In an older cohort, we also identified hypoconnectivity in people with Alzheimer’s. This suggests possible early electrophysiological markers of dementia risk that could help understand/predict later transition.
- Shaw, A.D., Moran, R.J., Muthukumaraswamy, S.D., Brealy J., Linden D.E., Friston, K.J., Singh, K.D. (2017). Neurophysiologically-informed markers of individual variability and pharmacological manipulation of human cortical gamma. NeuroImage. 161, pp. 19-31, (PMCID 5692925). We show how modelling of MEG-measured visual cortex gamma oscillations, using a computational model derived from animal studies of V1, can provide insight into the synaptic physiology underlying human individual variability and the target and dynamics of drugs targeting specific receptors/neurotransmitters.
- Singh KD. Which “neural activity” do you mean? (2012) fMRI, MEG, oscillations and neurotransmitters. Neuroimage, 62(2): 1121-1130 (PMID 22248578). Here, I reviewed the relationship between fMRI-BOLD and direct electrophysiological measures from MEG/EEG. The idea is that fMRI is often described as measuring “neural activity” but that, in reality, it is a correlate of a complex mixture of electrophysiological signals that are related to both excitation and inhibition, which is poorly understood and may vary across the brain and people.
Funding
- £47210 from the Wellcome Trust ISSF (2020-201). Development of wearable, room-temperature and movement- tolerant MEG for adults and children at Cardiff University. Singh, Beltrachini, Vanderwert.
- £165,055, Endeavour Project Grant from Epilepsy Research UK (2021-2024). Seeing inside: non-invasive brain mapping of epileptic activity (SINIMA). Hamandi, Singh, Murphy, Faulkner, Sieradzan.
- £400,000 from the EPSRC (2020-2021) Core Equipment grant, Graham, Singh (Co- applicant), Murphy, Beltrachini, Holt, Lawrence, Charron.
- £971,676 from the MRC (2018-2020) Integrating genetic, clinical and phenotypic data to advance stratification, prediction and treatment in mental health. Hall, Owen, Harwood, John, Murphy, Walters, O’Donovan, Atack, Jones, Rice, Holmans, Collishaw, Moore, Singh, Thapar.
- £6.7M from the MRC (2014-2016) Enhancing UK's Clinical Research Capabilities and Technologies 2014. Ultra-High Field MRI: Advancing Clinical Neuroscientific Research in Experimental Medicine. Wise, Jones, Singh, Linden, Kauppinen (Bristol), Graham.
- £4.9M from the Wellcome Trust (2016-2021) Multi-Scale and Multi-Modal Assessment of Coupling in the Healthy and DiseasedBrain. Jones, Assaf, Chambers, Graham, Jezzard (Oxford), Linden, Morris (Nottingham), Nutt (ICL), Sumner, Singh, Wise.
- £2.9M from the EPSRC (2014-2019) National Facility for In Vivo MR Imaging of Human Tissue Microstructure. Jones, Alexander(UCL), Bowtell (Nottingham), Cercignani (Sussex), Dell’Acqua (KCL), Parker (Manchester), Singh, Wise, Miller (Oxford), Thomas.
- £1.0M from the Wolfson Foundation (2014-2016) CUBRIC – The Cardiff University Brain Research Imaging Centre. Singh, Price, Jones, Wise, Linden, Graham, Chambers, Sumner.
- £4.9M (FEC) (£654,159 to Cardiff) from the MRC. (2014-2019) MICA: STRATA - Schizophrenia: Treatment Resistance andTherapeutic Advances. Kapur, McCabe, Murray, McGuire, Howes, Rose, McCrone, Pickles, Talbot, Williams, Matthews, Deakins, Lewis, Emsley, Stone, Walters, Owen, Pocklington, Singh, Lawrie, McIntosh, Egerton, Doody, O’Neill, O’Donovan.
- £44569 from the Wellcome Trust ISSF (2017-2018). Characterising alternations of neural dynamics in intractable epilepsy using neurophysiologically- informed models. Zhang, Singh, Hamandi, Cheng.
- £38601 from the Wellcome Trust ISSF (2016-2016). Neurophysiologically- informed models and machine learning classificationof task-driven and resting state oscillatory dynamics in schizophrenia. Singh, Walters, Freeman, Zhang.
- £307,019 from the Wellcome Trust. (2013-2016) Excitatory-inhibitory balance in adolescents at high genetic risk of mentaldisorder: A study of cortical gamma oscillations and GABA concentrations of 22q11.2 deletion syndrome. Doherty, Owen. Linden, Van den Bree, Singh.
- £4.2M (FEC) (£925,580 to Singh as Cardiff PI) from the MRC. (2013-2018) Defining the disturbance in cortical glutamate andGABA function in psychosis, its origins and consequences. Deakin, Talbot, Gerhard, Hinz, Williams, Singh, Wilkinson, Walters, Freeman, Morris, Liddle, Brookes, Palaniyappan, Macdonald.
- £1.5M (FEC) from the MRC. (2013-2019). Building multi-site clinical research capacity in Magnetoencephalography (MEG). Singh (PI), Hamandi, Gross, Kessler, Brookes, Morris, Henson, Barnes, Woolrich, Nobre, Litvak, Holliday, Furlong, Shtyrov, Green
- £986,846 (FEC) from the MRC. (2013-2016) Behavioural and neurophysiological effects of schizophrenia risk genes: a multi-locus, pathway-based approach. Linden, O’Donovan, Owen, Holmans, Pocklington, Zammit, Hall, Singh, Jones, Davey-Smith.
- £668,226 from the Wellcome Trust. (2013-2018). Dedicated Computing Infrastructure for CUBRIC. Jones, Singh, Wise.
- £99,980 from Epilepsy Research UK. Magnetoencephalographic measures of abnormalsensory oscillations: A new window onphotosensitive epilepsy. (2010-2013). Hamandi, Singh and Muthukumaraswamy.
- £195,000 from the Welsh Assembly Government (A4B): The Integrated Brain Imaging and Stimulation Project (IBIS). (2010-2013). Chambers, Singh, Wise, Jones and Jiles.
- £165,000 from Bristol Research into Alzheimer’s and Care of the Elderly: Characterizing the functional and anatomical integrity ofvisual attention-related processing in Alzheimer’s disease. (2010-2013). Tales, Singh, Bayer, Jones and O’Sullivan.
- £113,039 from The Waterloo Foundation: Advanced Neuro-imaging in BECTS. (2010-2013). Hamandi, Singh, et al.
- £426,191 from the Wellcome Trust: See it, grab it: Control of automatic sensorimotor behaviour in health and disease. (2009-2012) Sumner, Husain, Singh and Rafal.
- £4M from the Wellcome Trust: 4 yr PhD programme in integrative neuroscience. (2008-2014). Lead Applicants: Aggleton andCrunelli.
- £176,933 from BBSRC (BBSB08035): Synthetic Aperture Magnetometry Studies of Stimulus Related Oscillatory Power Changesin Human Visual Cortex. (2004-2007). Singh.
Supervision
Postgraduate research interests
I am interested in supervising PhD projects in multi-modal functional neuroimaging methods and applications (MEG and fMRI), with a specific focus on vision and the underlying neurophysiology of MEG and BOLD-fMRI signals. A recent developing interest has been the dependency of these measures on GABAergic inhibition.
If you are interested in applying for a PhD, or for further information regarding my postgraduate research, please contact me directly (contact details available on the 'Overview' page), or submit a formal application.
Current students
Megan Godfrey 2016-
Laura Bloomfield 2016-
Melissa Wright 2016-
Marie-Lucie Read 2017-
Tom Chambers 2017-
Dominik Krzeminski 2017-
Hellen Yuan 2018-
Jacopo Barone 2018-
Stefan Brugger 2018-
Emily Lambe 2018-
Mengi Zhang 2020-
Past projects
Previous students
Dr Alexander Shaw 2011-2015, Research Associate, CUBRIC, Cardiff University
Dr Joanne Doherty 2013-2019, Clinical Research Fellow, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University
Dr Gemma Williams 2014-2018
Dr Diana Dima 2015-2018, Post-doctoral researcher at Johns Hopkins, USA.
Dr Benjamin Dunkley 2008-2011, Assistant Professor, University of Toronto, Canada.
Dr Rachael Stickland 2015-2019, Postdoctoral Fellow of Northwestern University, USA.
Dr Phoebe Asquith 2015-2019, Research Associate, School of Psychology, Cardiff University
Dr Bethany Routley 2013-2017, Science and Communications Officer, Cancer Research Wales
Dr Lorenzo Magazzini 2013-2017
Dr Mark Mikkelsen 2012-2015, Postdoctoral Fellow at The Johns Hopkins University, USA.
Dr Kacper Wieczorek 2012-2015, Senior Data Scientist at AMPLYFI
Dr Laura Knight 2012-2015, Cedar - Healthcare Technology Research Centre, Cardiff, Wales.
Dr Jennifer Brealy 2011-2015
Dr Claire Hanley 2012-2015, Lecturer in Psychology, Swansea University
Dr Panagiotis Kovanis 2010-2014
Dr Sian Robson 2010-2013, Research fellow, Centre for Genomic and Experimental Medicine, University of Edinburgh.
Dr Ian Fawcett 2002-2005