Zhaohua Ding, Ph.D.

Research Professor
Electrical and Computer Engineering, Computer Science, Biomedical Engineering
Phone
(615)322-7889

My research focuses on processing and analysis of magnetic resonance images, aiming at providing innovative, objective and quantitative technologies for measuring brain structure and function, and understanding structure-function relations of the neural network in human brain.

My current projects include understanding fundamental structure-function relations in brain neural circuits, establishing mathematical models that characterize the dynamics of complex neural networks, and developing advanced MRI techniques for imaging brain functional structure with high spatial and temporal resolutions and conspicuity.

Research Information

Li M, Newton AT, Anderson AW, Ding Z, Gore JC. Characterization of the hemodynamic response function in white matter tracts for event-related fMRI. Nat Commun. 2019;10(1):1140. Published 2019 Mar 8. doi:10.1038/s41467-019-09076-2

Ding Z, Huang Y, Bailey SK, et al. Detection of synchronous brain activity in white matter tracts at rest and under functional loading. Proc Natl Acad Sci USA. 2018;115(3):595-600. doi:10.1073/pnas.1711567115

Ding Z, Xu R, Bailey SK, et al. Visualizing functional pathways in the human brain using correlation tensors and magnetic resonance imaging. Magn Reson Imaging. 2016;34(1):8-17. doi:10.1016/j.mri.2015.10.003

Ding Z, Newton AT, Xu R, Anderson AW, Morgan VL, Gore JC. Spatio-temporal correlation tensors reveal functional structure in human brain. PLoS One. 2013;8(12):e82107. Published 2013 Dec 5. doi:10.1371/journal.pone.0082107

Li C, Kao CY, Gore JC, Ding Z. Minimization of region-scalable fitting energy for image segmentation. IEEE Trans Image Process. 2008;17(10):1940-1949. doi:10.1109/TIP.2008.2002304