Yingchun Zhang

Yingchun Zhang, PhD

Assistant Affiliate Member, Research Institute
Houston Methodist


Dr. Zhang earned his Ph.D. in Electrical Engineering from Zhejiang University, China in 2004. He held a faculty appointment at the University of Minnesota, Minneapolis before joining the faculty of the University of Houston in 2012 and becoming an assistant affiliate member of Houston Methodist Research Institute in 2014. Dr. Zhang is currently an Assistant Professor in the Department of Biomedical Engineering at the University of Houston. He directs a predictive modeling and functional imaging research program focusing on clinical diagnosis technology of urogenital dysfunction and other disorders in the human body through the fusion of functional bioelectrical activity/impedance imaging, electrical stimulation and recording, advanced computational modeling and electrophysiological/biomechanical analysis. Dr. Zhang is a recipient of NIH Pathway to Independence (K99/R00) award, an IEEE senior member and serves as a reviewer for a number of peer-review scientific journals.

Description of Research

Dr. Zhang’s Predictive Modeling and Functional Imaging Lab is interested in advancing clinical diagnosis of dysfunction in the human body through the fusion of functional bioelectrical activity/property imaging, neuromodulation, advanced computational modeling and electrophysiological/biomechanical analysis with applications in investigating the mechanisms of bioelectrical activities and neural pathways in biological systems. His lab is also interested in utilizing developed functional imaging technologies to enhance human-machine-interface systems such as brain-computer-interface systems, brain-controlled devices and myoelectrically-controlled prostheses. The research in his lab involves both technology developments and experimental studies in human subjects and animals.

Areas Of Expertise

Multimodal neural imaging Predictive modeling Incontinence Rehabilitation Prostate cancer early detection
Education & Training

MS, Harbin Institute of Technology
Postdoctoral Fellowship, University of Minnesota
PhD, Zhejiang University

Personalizing repetitive transcranial magnetic stimulation for precision depression treatment based on functional brain network controllability and optimal control analysis
Fang, F, Godlewska, B, Cho, RY, Savitz, SI, Selvaraj, S & Zhang, Y 2022, , NeuroImage, vol. 260, 119465. https://doi.org/10.1016/j.neuroimage.2022.119465

Effects of escitalopram therapy on functional brain controllability in major depressive disorder
Fang, F, Godlewska, B, Cho, RY, Savitz, SI, Selvaraj, S & Zhang, Y 2022, , Journal of Affective Disorders, vol. 310, pp. 68-74. https://doi.org/10.1016/j.jad.2022.04.123

Motor unit distribution and recruitment in spastic and non-spastic bilateral biceps brachii muscles of chronic stroke survivors
Liu, Y, Chen, YT, Zhang, C, Zhou, P, Li, S & Zhang, Y 2022, , Journal of neural engineering, vol. 19, no. 4, 046047. https://doi.org/10.1088/1741-2552/ac86f4

Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review
Li, R, Yang, D, Fang, F, Hong, KS, Reiss, AL & Zhang, Y 2022, , Sensors, vol. 22, no. 15, 5865. https://doi.org/10.3390/s22155865

A new feature selection approach for driving fatigue EEG detection with a modified machine learning algorithm
Zheng, Y, Ma, Y, Cammon, J, Zhang, S, Zhang, J & Zhang, Y 2022, , Computers in Biology and Medicine, vol. 147, 105718. https://doi.org/10.1016/j.compbiomed.2022.105718

EEG emotion recognition based on enhanced SPD matrix and manifold dimensionality reduction
Gao, Y, Sun, X, Meng, M & Zhang, Y 2022, , Computers in Biology and Medicine, vol. 146, 105606. https://doi.org/10.1016/j.compbiomed.2022.105606

Functional Brain Controllability Alterations in Stroke
Li, X, Fang, F, Li, R & Zhang, Y 2022, , Frontiers in Bioengineering and Biotechnology, vol. 10, 925970. https://doi.org/10.3389/fbioe.2022.925970

Validation of a Chinese version for the global Pelvic Floor Bother Questionnaire
Liu, Z, Zhou, C, Munoz, A, Zhang, Y & Li, X 2022, , Archives of Gynecology and Obstetrics, vol. 305, no. 5, pp. 1353-1357. https://doi.org/10.1007/s00404-021-06370-7

Microenergy acoustic pulse therapy restores function and structure of pelvic floor muscles after simulated birth injury
Lin, G, Van Kuiken, M, Wang, G, Banie, L, Tan, Y, Zhou, F, Wang, Z, Chen, Y, Zhang, Y & Lue, TF 2022, , Translational Andrology and Urology, vol. 11, no. 5, pp. 595-606. https://doi.org/10.21037/tau-22-30

Motor imagery EEG decoding using manifold embedded transfer learning
Cai, Y, She, Q, Ji, J, Ma, Y, Zhang, J & Zhang, Y 2022, , Journal of Neuroscience Methods, vol. 370, 109489. https://doi.org/10.1016/j.jneumeth.2022.109489

Comprehensive Assessment of the Time Course of Biomechanical, Electrophysiological and Neuro-Motor Effects after Botulinum Toxin Injections in Elbow Flexors of Chronic Stroke Survivors with Spastic Hemiplegia: A Cross Sectional Observation Study
Chen, YT, Liu, Y, Zhang, C, Magat, E, Zhou, P, Zhang, Y & Li, S 2022, , Toxins, vol. 14, no. 2, 104. https://doi.org/10.3390/toxins14020104

Treatment with platelet-rich plasma attenuates proprioceptor abnormalities in a rat model of postpartum stress urinary incontinence
Liu, J, Liu, Z, Tang, Y, Munoz, A, Zhang, Y & Li, X 2022, , International Urogynecology Journal. https://doi.org/10.1007/s00192-022-05112-w

Inter-muscular coherence and functional coordination in the human upper extremity after stroke
Liu, H, Gao, Y, Huang, W, Li, R, Houston, M, Benoit, JS, Roh, J & Zhang, Y 2022, , Mathematical Biosciences and Engineering, vol. 19, no. 5, pp. 4506-4525. https://doi.org/10.3934/mbe.2022208

Brain controllability distinctiveness between depression and cognitive impairment
Fang, F, Gao, Y, Schulz, PE, Selvaraj, S & Zhang, Y 2021, , Journal of Affective Disorders, vol. 294, pp. 847-856. https://doi.org/10.1016/j.jad.2021.07.106

Neurophysiological factors affecting muscle innervation zone estimation using surface emg: A simulation study
Huang, C, Chen, M, Li, X, Zhang, Y, Li, S & Zhou, P 2021, , Biosensors, vol. 11, no. 10, 356. https://doi.org/10.3390/bios11100356

Interactions Between Aging and Alzheimer’s Disease on Structural Brain Networks
and The Alzheimer’s Disease Neuroimaging Initiative 2021, , Frontiers in Aging Neuroscience, vol. 13, 639795. https://doi.org/10.3389/fnagi.2021.639795

EEG-Based Driving Fatigue Detection Using a Two-Level Learning Hierarchy Radial Basis Function
Ren, Z, Li, R, Chen, B, Zhang, H, Ma, Y, Wang, C, Lin, Y & Zhang, Y 2021, , Frontiers in Neurorobotics, vol. 15, 618408. https://doi.org/10.3389/fnbot.2021.618408

Gray Matter Deterioration Pattern During Alzheimer's Disease Progression: A Regions-of-Interest Based Surface Morphometry Study
Wu, Z, Peng, Y, Hong, M & Zhang, Y 2021, , Frontiers in Aging Neuroscience, vol. 13, 593898. https://doi.org/10.3389/fnagi.2021.593898

Improving botulinum toxin efficiency in treating post-stroke spasticity using 3D innervation zone imaging
Zhang, C, Chen, YT, Liu, Y, Magat, E, Gutierrez-Verduzco, M, Francisco, GE, Zhou, P, Li, S & Zhang, Y 2021, , International Journal of Neural Systems, vol. 31, no. 4, 2150007. https://doi.org/10.1142/S0129065721500076

Transfer of semi-supervised broad learning system in electroencephalography signal classification
Zhou, Y, She, Q, Ma, Y, Kong, W & Zhang, Y 2021, , Neural Computing and Applications, vol. 33, no. 16, pp. 10597-10613. https://doi.org/10.1007/s00521-021-05793-2