Professor Ying Zheng
Professor in Systems Engineering and Neuroscience
Department of Biological Sciences
University of Reading
United Kingdom
Biography
Professor Ying Zheng is currently working as a Professor in Systems Engineering and Neuroscience in the Department of Biological Sciences, University of Reading , United Kingdom. Introduction Professor Ying Zheng received her BEng and PhD from the University of Sheffield, UK. She has been working in the interface of systems engineering and neuroscience for over 10 years. The main direction of her research is to develop mathematical models to understand neural and haemodynamic signals obtained from neuroimaging techniques such as microelectrodes, EEG, laser-Doppler flowmetry, optical imaging spectroscopy and fMRI. The mathematical models are based on physiological measurements (neural and haemodynamic), with the model parameters reflecting aspects of the underlying physiological processes. These mathematical models also generate testable hypotheses to guide the design of further physiological experiments and the refinement of these models. Professor Zheng is currently working on the development of: • Spatio-temporal models of local field potential recordings based on the balanced nature of neural excitation and inhibition, with potential applications to the interpretation of EEG recordings; • Dynamic models of neurovascular coupling, incorporating the underlying mechanisms of vessel dilation and constriction. This will enhance our understanding of the fMRI BOLD signals. • Dynamic models of blood vessels based on its visco-elastic properties. This is important not only to the interpretation of the fMRI BOLD signal, but also to our understanding of the functions of heart and circulatory system.
Research Interest
. The main direction of her research is to develop mathematical models to understand neural and haemodynamic signals obtained from neuroimaging techniques such as microelectrodes, EEG, laser-Doppler flowmetry, optical imaging spectroscopy and fMRI.
Publications
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Boorman, L., Harris, S., Bruyns-Haylett, M., Kennerley, A., Zheng, Y., Martin, C., Jones, M., Redgrave, P. and Berwick, J. (2015) Long-latency reductions in gamma power predict hemodynamic changes that underlie the negative BOLD signal. The Journal of Neuroscience, 35 (11). pp. 4641-4656. ISSN 1529-2401 doi: 10.1523/JNEUROSCI.2339-14.2015
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Song, Y., Torres, R. A., Garcia, S., Frometa, Y., Bae, J., Deshmukh, A., Lin, W.-C., Zheng, Y. and Riera, J. J. (2016) Dysfunction of neurovascular/metabolic coupling in chronic focal epilepsy. IEEE Transactions on Biomedical Engineering, 63 (1). pp. 97-110. ISSN 0018-9294 doi: 10.1109/TBME.2015.2461496
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Bruyns-Haylett M, Luo J, Kennerley AJ, Harris S, Boorman L, Milne E, Vautrelle N, Hayashi Y, Whalley BJ, Jones M, Berwick J. The neurogenesis of P1 and N1: A concurrent EEG/LFP study. NeuroImage. 2017 Feb 1;146:575-88.