• 文章/Publications

    • 期刊论文/Journal Articles: 62
    • 会议论文或摘要/Conference Proceedings and Abstracts: 121
    • H-index: 19 (Google Scholar), 17 (Web of Science) [as of Dec 2017]

    部分代表性文章分类列表

    Computational Neuroscience and Neural Engineering

    • L. L. Li, E. N. Ji, X. Han, F. Tang, Y. H. Bai, D. H. Peng, Y. R. Yang, S. L. Zhang, Z. G. Zhang*, and H. C. Yang*, “Cortical thickness and subcortical volumes alterations in euthymic bipolar I patients treated with different mood stabilizers,” Brain Imaging and Behavior, in press. [* Corresponding Author]

    • L. L. Li, E. N. Ji, F. Tang, Y. H. Qiu, X. Han, S. L. Zhang, Z. G. Zhang*, and H. C. Yang*, “Abnormal brain activation during emotion processing of euthymic bipolar patients taking different mood stabilizers,” Brain Imaging and Behavior, in press. [* Corresponding Author]

    • Q. Q. Lin, L. L. Li, J. Liu, W. X. Liu, G. Huang and Z. G. Zhang*, “Influence of individual differences in fMRI-based pain prediction models on between-individual prediction performance,” Frontiers in Neuroscience, vol. 12, Article 569, Aug. 2018. [* Corresponding Author]

    • L. L. Li, G. Huang, Q. Q. Lin, J. Liu, S. L. Zhang, and Z. G. Zhang*, “Magnitude and temporal variability of inter-stimulus EEG modulate the linear relationship between laser-evoked potentials and fast-pain perception,” Frontiers in Neuroscience, in press. [* Corresponding Author]

    • Y. H. Tu, Z. N. Fu, A. Tan, G. Huang, L. Hu, Y. S. Hung, and Z.G. Zhang*, “A novel and effective fMRI decoding approach based on sliced inverse regression and its application to pain prediction,” Neurocomputing, vol. 273, pp. 373-384, Jan. 2018. [* Corresponding Author]

    • Z. N. Fu, Y. H. Tu, X. Di, B. B. Biswal, V. D. Calhoun, and Z. G. Zhang*, “Associations between functional connectivity dynamics and bold dynamics are heterogeneous across brain networks,” Frontiers in Human Neuroscience, vol. 11, Article 293, Dec. 2017. [* Corresponding Author]

    • A. Tan, L. Hu, R. Chen, Y. S. Hung, and Z. G. Zhang*, “N1 magnitude of auditory evoked potentials and spontaneous functional connectivity between bilateral Heschl’s gyrus are coupled at inter-individual level,” Brain Connectivity, vol. 6, no. 6, pp. 496-504, Jul. 2016. [* Corresponding Author]

    • Y. H. Tu, A. Tan, Y. R. Bai, Y. S. Hung, and Z. G. Zhang*, “Decoding subjective intensity of nociceptive pain from pre-stimulus and post-stimulus brain activities,” Frontiers in Computational Neuroscience, vol. 10, article 32, Apr. 2016. [* Corresponding Author]

    • Y. R. Bai, G. Huang, Y. H. Tu, A. Tan, Y. S. Hung, and Z. G. Zhang*, “Normalization of pain-evoked neural responses using spontaneous EEG improves the performance of EEG-based cross-individual pain prediction,” Frontiers in Computational Neuroscience, vol. 10, article 31, Apr. 2016. [* Corresponding Author]

    • Y. H. Tu, Z. G. Zhang*, A. Tan, W. W. Peng, Y. S. Hung, M. Moayedi, G. D. Iannetti, and L. Hu*, “Alpha and gamma oscillation amplitudes synergistically predict the perception of forthcoming nociceptive stimuli,”Human Brain Mapping, vol. 37, no. 2, pp. 501-514, Feb. 2016. [* Corresponding Author]

    • X. Di, Z. N. Fu, S. C. Chan, Y. S. Hung, B. B. Biswal*, and Z. G. Zhang*, “Task-related functional connectivity dynamics in a block-designed visual experiment,” Frontiers in Human Neuroscience, vol. 9, Article 543, Sep. 2015. [* Corresponding Author]

    • J. P. Zhang, Y. Cui, J. R. Zhang, J. Zhang, Q. Zhou, Q. Liu, and Z. G. Zhang*, “Closely spaced MEG source localization and functional connectivity analysis using a new pre-whitening invariance of noise space algorithm,” Neural Plasticity, Article ID 4890497, Feb. 2016. [* Corresponding Author]

    • Y. Wang#, Z. G. Zhang#, X. Li, H. Cui, X. Xie, K. D. Luk, and Y. Hu, “Usefulness of time-frequency patterns of somatosensory evoked potentials in identification of the location of spinal cord injury,” Journal of Clinical Neurophysiology, vol. 32., no. 4, pp. 341-345, Aug. 2015. [# Equal Contribution]

    • Y. H. Tu, Y. S. Hung, G. Huang, L. Hu, and Z. G. Zhang*, “An automated and fast approach to detect single-trial visual evoked potentials with application to brain–computer interface,” Clinical Neurophysiology, vol. 125, no. 12, pp. 2372-2383, Dec. 2014. [* Corresponding Author]

    • Z. N. Fu, S. C. Chan, X. Di, B. B. Biswal, and Z. G. Zhang*, “Adaptive covariance estimation of non-stationary processes and its application to infer dynamic connectivity from fMRI,” IEEE Transactions on Biomedical Circuits and Systems, vol. 8, no. 2, pp. 228-239, Apr. 2014. [* Corresponding Author]

    • L. Hu, P. Xiao, Z. G. Zhang*, A. Mouraux, and G. D. Iannetti, “Single-trial time-frequency analysis of electrocortical signals: Baseline correction and beyond,” NeuroImage, vol. 84, no. 1, pp. 876-887, Jan. 2014. [* Corresponding Author]

    • G. Huang, P. Xiao, Y. S. Hung, G. D. Iannetti, Z. G. Zhang*, and L. Hu*, “A novel approach to predict subjective pain perception from single-trial laser-evoked potentials,” NeuroImage, vol. 81, no. 1, pp. 283-293, Nov. 2013. [* Corresponding Author]

    • L. Hu#, Z. G. Zhang#, and Y. Hu, “A time-varying source connectivity approach to reveal human somatosensory information processing,” NeuroImage, vol. 62, no. 1, pp. 217-228, Aug. 2012. [# Equal Contribution]

    • Z. G. Zhang#, L. Hu#, Y. S. Hung, A. Mouraux, and G. D. Iannetti, “Gamma-band oscillations in the primary somatosensory cortex - a direct and obligatory correlate of subjective pain intensity,” Journal of Neuroscience, vol. 32, no. 22, pp. 7429-7438, May 2012. [# Equal Contribution] ·

    Medical Signal and Image Processing

    • G. Huang, Z. E. Xian, Z. G. Zhang*, S. C. Li, X. Y. Zhu, “Divide-and-conquer muscle synergies: A new feature space decomposition approach for simultaneous multifunction myoelectric control,” Biomedical Signal Processing and Control, in press. [* Corresponding Author]

    • X. Chen, H. Y. Wen, Q. L. Li, T. F. Wang, S. P. Chen, Y. P. Zheng, and Z. G. Zhang*, “Identifying transient patterns of in vivo muscle behaviors during isometric contraction by local polynomial regression,” Biomedical Signal Processing and Control, vol. 24, pp. 93-102, Feb. 2016. [* Corresponding Author]

    • J. F. Wu, A. M. S. Ang, K. M. Tsui, H. C. Wu, Y. S. Hung, Y. Hu, J. N. F. Mak, S. C. Chan, and Z. G. Zhang*, “Efficient implementation and design of a new single-channel electrooculography-based human-machine interface system,” IEEE Transactions on Circuits and Systems II-Express Briefs, vol. 62., no. 2, pp. 179-183, Feb. 2015. [* Corresponding Author]

    • X. Chen, Y. P. Zheng, J. Y. Guo, Z. Y. Zhu, S. C. Chan, and Z. G. Zhang*, “Sonomyographic responses during voluntary isometric ramp contraction of the human rectus femoris muscle,” European Journal of Applied Physiology, vol. 112, no. 7, pp. 2603-2614, Jul. 2012. [* Corresponding Author]

    • Z. G. Zhang, K. D. K. Luk, and Y. Hu, “Identification of detailed time-frequency components in somatosensory evoked potentials,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 18, no. 3, pp. 245-254, Jun. 2010.

    • Z. G. Zhang, H. T. Liu, S. C. Chan, K. D. K. Luk, and Y. Hu, “Time-dependent power spectral density estimation of surface electromyography during isometric muscle contraction: Methods and comparisons,”Journal of Electromyography and Kinesiology, vol. 20, no. 1, pp. 89-101, Feb. 2010.

    • Z. G. Zhang, J. L. Yang, S. C. Chan, K. D. K. Luk, and Y. Hu, “Time-frequency component analysis of somatosensory evoked potentials in rats,” BioMedical Engineering OnLine, vol. 8, no. 4, DOI: 10.1186/1475-925X-8-4, Feb. 2009.

    • Z. G. Zhang, V. W. Zhang, S. C. Chan, B. McPherson, and Y. Hu, “Time-frequency analysis of click-evoked otoacoustic emissions by means of a minimum variance spectral estimation-based method,” Hearing Research, vol. 243, no. 1-2, pp. 18-27, Sep. 2008.

    • Z. G. Zhang, K. M. Tsui, S. C. Chan, W. Y. Lau, and M. Aboy, “A novel method for nonstationary power spectral density estimation of cardiovascular pressure signals based on a Kalman filter with variable number of measurements,” Medical & Biological Engineering & Computing, vol. 46, no. 8, pp. 789-797, Aug. 2008.

    Signal Processing Methods and Engineering Applications

    • Z. G. Zhang and S. C. Chan, “Recursive parametric frequency/spectrum estimation for non-stationary signals with impulsive components using variable forgetting factor,” IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 12, pp. 3251-3264, Dec. 2013.

    • Z. G. Zhang, S. C. Chan, and C. Wang, “A new regularized adaptive windowed Lomb-periodogram for time-frequency analysis of nonstationary signals with impulsive components,” IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 8, pp. 2283-2304, Aug. 2012.

    • Z. G. Zhang, Y. S. Hung, and S. C. Chan, “Local polynomial modelling of time-varying autoregressive models with application to time-frequency analysis of event-related EEG,” IEEE Transactions on Biomedical Engineering, vol. 58, no. 3, pp. 557-566, Mar. 2011.

    • Z. G. Zhang, S. C. Chan, and K. M. Tsui, “A recursive frequency estimator using linear prediction and a Kalman-filter-based iterative algorithm,” IEEE Transactions on Circuits and Systems II, vol. 55, no. 6, pp. 576-580, Jun. 2008.