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Long Z., Liu X., Niu Y., Shang H., Lu H., Zhang J., Yao L., Improved Dynamic Functional Connectivity Estimation with an alternating Hidden Markov Model, Cognitive Neurodynamics (Accepted)
Long, Z*.; Liu, L.; Yuan, X.; Zheng, Y.; Niu, Y.; Yao, L. Assessment of 3D Visual Discomfort Based on Dynamic Functional Connectivity Analysis with HMM in EEG. Brain Sci. 2022, 12, 937. https://doi.org/ 10.3390/brainsci12070937
Zheng, H., Yao, L. & Long, Z*. Reconstruction of 3D Images from Human Activity by a Compound Reconstruction Model. Cogn Comput (2022). https://doi.org/10.1007/s12559-022-09992-4
Xu Y, Shang H, Lu H, Zhang J, Yao L and Long Z* (2021) Altered Dynamic Functional Connectivity in Subcortical Ischemic Vascular Disease With Cognitive Impairment. Front. Aging Neurosci. 13:758137. doi: 10.3389/fnagi.2021.758137
Long Z, Guo Z, Guo Z, Zhang H, and Yao L. "Dynamic Functional Network Connectivity Changes Associated with fMRI Neurofeedback of Right Premotor Cortex" 2021. Brain Sciences 11, no. 5: 582
Zheng H, Yao L, Chen M, Long Z*, 3D Contrast Image Reconstruction From Human Brain Activity, IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING. 2020. VOL. 28, NO. 12, 2699-2710
Li Y, Hou C, Yao L, Zhang C, Zheng H, Zhang J, Long Z*. Disparity level identification using the voxel-wise Gabor model of fMRI data. Hum Brain Mapp. 2019 Jun 15;40(9):2596-2610. doi: 10.1002/hbm.24547.
Long Z*, Liu L, Gao Z, Chen M, Yao L. A semi-blind online dictionary learning approach for fMRI data. J Neurosci Methods. 2019 Jul 15;323:1-12.
Long Z, Wang Y, Liu X, Yao L*. Two-step paretial least square regression classifiers in brain-state decoding using functional magnetic resonance imaging. PLoS One. 2019 Apr 10;14(4):e0214937. doi: 10.1371/journal.pone.0214937.
Long Z., Wang Z., Zhang J., Zhao X., Yao L*., BMC Medical Imaging (2019) Temporally constrained ICA with threshold and its application to fMRI data vol. 19:6 https://doi.org/10.1186/s12880-018-0300-6
Zhang, J., Zhang, C., Yao, L., Zhao, X., and Long, Z*.(2018). Brain State Decoding Based on fMRI Using Semisupervised Sparse Representation Classifications. Computational Intelligence and Neuroscience. doi:10.1155/2018/3956536
Zhang C, Yao L, Song S, Wen X, Zhao X, Long Z.*(2018) Euler Elastica regularized Logistic Regression for whole-brain decoding of fMRI data, IEEE Trans Biomed Eng., vol. 65, page 1639-1653, PP. 655-673
Li, Y., Zhang, C., Hou, C., Yao L*., Zhang J., Long Z*., (2017) BMC Neurosci , Stereoscopic processing of crossed and uncrossed disparities in the human visual cortex, vol. 18: 80. https://doi.org/10.1186/s12868-017-0395-7
Wang Y, Zhang J, Zhang G, Yao L, Long Z* (2017), Changes in the brain’s intrinsic organization in the resting state with real-time fMRI neurofeedback training of PCC activity, Journal of Behavioral and Brain Science, Vol.7 No.13, PP. 655-673
Ge R, Wang Y, Zhang J, Yao L, Zhang H, Long Z*. Improved FastICA algorithm in fMRI data analysis using the sparsity property of the sources, Journal of Neuroscience Methods, 2016 Apr 1;263:103-14.
Zhang CC, Song TS, Wen X, Yao L, Long Z*(Apr 2015), Improved sparse decomposition based on a smoothed L0 norm using a Laplacian kernel to select features from fMRI data. Journal of Neuroscience Methods, 2015, 30(245):15-24
Ge RY, Yao L, Zhang H, Long Z*, (Sep 2015) A two-step super-Gaussian independent component analysis approach for fMRI data, Neuroimage, 2015, 118:344-58
Xia MG, Song ST, Yao L, Long Z*,(Aug 2015) An empirical comparison of different LDA methods in fMRI-based brain states decoding, Bio-medical Materials and Engineering, 26 (2015) S1185–S1192
Ge R, Zhang H, Yao L, Long Z*, Motor Imagery Learning Induced Changes in Functional Connectivity of the Default Mode Network, IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, VOL. 23, NO. 1, (2015) pp: 138-148.
Hui M. Zhang H, Ge R, Yao L, Long Z*, Modulation of functional network with real-time fMRI feedback training of right premotor cortex activity, Neuropsychologia, 62 (2014) 111–123
Ge R, Fu Y, Wang D, Yao L and Long Z* (2014) Age-related alterations of brain network underlying the retrieval of emotional autobiographical memories: an fMRI study using independent component analysis. Front. Hum. Neurosci. 8:629. doi: 10.3389/fnhum.2014.00629
Wang Z, Xia M, Jin Z, Yao L, Long Z* (2014) Temporally and Spatially Constrained ICA of fMRI Data Analysis. PLoS ONE 9(4): e94211. doi:10.1371/journal.pone.0094211
Wang Z, Xia M, Jin Z, Yao L, Long Z*, Temporally and Spatially Constrained ICA of fMRI Data Analysis, 2014, PLoS ONE 9(4): e94211.
Long Z, Li R, Chen K, Wen X, Jin Z, Yao L*, Separating 4D Multi-task fMRI Data of multiple subjects by Independent Component Analysis with Projection, Magnetic Resonance Imaging, 2013, Vol. 31(1), Pages 60–74.
Long Z, Li R, Hui M, Jin Z, Yao L*, An Improvement of Independent Component Analysis with Projection Method Applied to Multi-task fMRI Data, Computers in Biology and Medicine, 2013, Vol. 43(3):200-10 .
Zhang G, Zhang H, Li X, Zhao X, Yao L, Long Z*, Functional Alteration of the DMN by Learned Regulation of the PCC Using Real-Time fMRI, IEEE transactions on neural systems and rehabilitation engineering , 2013, vol. 21, 595－606.
Ma, X, Zhang H, Zhao X, Yao L, Long Z*, Semi-Blind Independent Component Analysis of fMRI Based on Real-Time fMRI System, IEEE transactions on neural systems and rehabilitation engineering, 2013, vol. 21, 416－426.
Hui M, Li R, Chen K, Jin Z, Yao L, Long Z* (2013) Improved Estimation of the Number of Independent Components for Functional Magnetic Resonance Data by a Whitening Filter, IEEE Journal of Biomedical and Health Informatics, vol. 17, 629－641.* 通信作者
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