Hi! The



董立Li Dong


Research Interests

Current researches are methods and computing platform (including data mining, multimodal fusion etc.) of brain function analysis using EEG and functional magnetic resonance imaging (fMRI). The principal interests contain functional connectivity and spatio-temporal features of the brain function, brain network and big data analysis.


2017 – as yet: University of Electronic Science and Technology of China, Associate Research Fellow.

2010 - 2016: University Name: University of Electronic Science and Technology of China.
Degree and Major: Ph.D. Candidate in Biomedical Engineering (Advisors: Prof.  Dezhong Yao, UESTC, China)

2005 - 2009: University Name: Beijing Institute of Technology, Beijing, China.

Degree and Major: Bachelor of Science in Mathematics and Applied Mathematics.

Awards and Funds
  1. Youth Project of National Natural Science Foundation of China, 81701778, The methodology study of simultaneous EEG-fMRI brain network information fusion, 2018.01-2020.12, 0.2 Million RMB. (PI)

  2. Young Elite Scientists Sponsorship Program by CAST (YESS Program), 2016QNRC001, 2016-2018, 0.45 Million RMB.
  1. Li Dong*, Fali Li, Qiang Liu, Xin Wen, Yongxiu Lai, Peng Xu and Dezhong Yao*. MATLAB Toolboxes for Reference Electrode Standardization Technique (REST) of Scalp EEG. Frontiers in Neuroscience, 2017 (SCI IF = 3.566).
  2. Li Dong, Cheng Luo*, Yutian Zhu, Sisi Jiang, Pu Wang*, Bharat B. Biswal, Dezhong Yao*. Complex discharge-affecting networks in juvenile myoclonic epilepsy: A simultaneous EEG-fMRI study. Human Brain Mapping, 2016, 37(10): 3515-3529. (SCI IF = 4.962,)
  3. Li Dong, Yangsong Zhang, Rui Zhang, Xingxing Zhang, Diankun Gong, Pedro A. Valdes-Sosa, Peng Xu, Cheng Luo, Dezhong Yao*. Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information Canonical Correlation Analysis (emiCCA). NeuroImage, 2015, 109: 388-401. (SCI IF = 5.463)
  4. Li Dong, Diankun Gong, Pedro A. Valdes-Sosa, Yang Xia, Cheng Luo, Peng Xu, Dezhong Yao*. Simultaneous EEG-fMRI: trials level spatio-temporal fusion for hierarchically reliable information discovery. NeuroImage, 2014, 99:28-41.(SCI IF = 6.357)
  5. Li Dong, Cheng Luo, Weifang Cao, Rui Zhang, Jinnan Gong, Diankun Gong, Dezhong Yao*. Spatiotemporal consistency of local neural activities: a new imaging measure for functional MRI data. J Magn Reson Imaging, 2015, 42(3): 729-736. (SCI IF = 3.25)
  6. Li Dong, Hechun Li, Zhongqiong He, Sisi Jiang, Benjamin Klugah-Brown, Lin Chen, Pu Wang, Song Tan, Cheng Luo*, Dezhong Yao*. Altered local spontaneous activity in frontal lobe epilepsy: a resting-state functional magnetic resonance imaging study. Brain and Behavior, 2016, 0:1–8. e00555. (SCI IF = 2.128)
  7. Li Dong, Pu Wang, Yi Bin, Jiayan Deng, Yongjie Li, Leiting Chen, Cheng Luo*, Dezhong Yao*. Local multimodal serial analysis for fusing EEG-fMRI: a new method to study familial cortical myoclonic tremor and epilepsy. Autonomous Mental Development, IEEE Transactions on, 2015, 7(4): 311-319. (SCI IF = 1.205)
  8. Li Dong, Yuan Shen, Xu Lei, Cheng Luo, Qing-wei Li, Wen-yuan Wu, Dezhong Yao*, Chun-bo Li*. The heterogeneity of aging brain: altered functional connectivity in default mode network in older adults during verbal fluency tests. Chinese Medical Journal, 2012, 125(4) :604-610. (SCI IF = 0.957)
  9. Li Dong, Pu Wang, Rui Peng, Sisi Jiang, Benjamin Klugah-Brown, Cheng Luo*, Dezhong Yao. Altered basal ganglia-cortical functional connections in frontal lobe epilepsy: A resting-state fMRI study. Epilepsy Res, 2016, 128: 12-20 (SCI IF = 2.237).
  10. Li Dong, Pedro A. Valdes-Sosa, Dezhong Yao. Fusing EEG and fMRI in local region: estimating brain function and HRFs using group PCA+CCA. OHBM Annual Meeting, Hamburg, Germany. June 8-12, 2014.
  11. Li Dong, Cheng Luo, Dezhong Yao. Imaging epileptic networks using local CCA: a simultaneous EEG-fMRI study. 30th International Epilepsy Congress, Montreal, Canada, June 23–27, 2013.
  12. Li Dong, Xu Lei, Peng Xu, Cheng Luo, Dezhong Yao. Multimodal single trials based multimodal casual connectivity: an simultaneous EEG-fMRI simulation study. OHBM Annual Meeting, Beijing, China, June, 10-14, 2012.



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