My main research interests focus on brain imaging methodology, particularly functional near-infrared spectroscopy (fNIRS) technology, fNIRS-based hyperscanning, fNIRS-based brain computer interface and neurofeedback technology.
ACEDEMIC POSITIONS
Jul 2022-Associate Professor, School of Psychology, Shenzhen University, China
Sep 2017-Jun 2022 Assistant Professor, School of Psychology, Shenzhen University, China
Sep 2014-Aug 2017 Research Fellow, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China
EDUCATION
Sep 2009-Jun 2014 Ph.D., State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China
Sep 2003-Jun 2007 Bachelor's degree in Mathematics, School of Science, Beijing Institute of Technology, China
HONORS & AWARDS
2019 Hanxiang Young Scientist Nomination Award
GRANTS
2021~2024 Shenzhen Science and Technology Innovation Committee, Basic Research General Project, Anxiety neurofeedback regulation technology based on cortical network, Chair
2019~ 2021 Shenzhen Science and Technology Innovation Committee, Basic Research Free Exploration Project, Multi- brain neural decoding technology, Chair
2016~ 2018 Natural Science Foundation of China, Youth Project, Key Technology on Dual-brain Neural Decoding Based on Functional Near Infrared Imaging, Chair
PUBLICATIONS
(1)Tao Liu#; Lian Duan#; Ruina Dai; Matthew Pelowski; Chaozhe Zhu*; Team-work, Team-brain: Exploring synchrony and team interdependence in a nine-person drumming task via multiparticipant hyperscanning and inter-brain network topology with fNIRS, Neuroimage, 2021, 237:118147.
(2)Lian Duan; Hui Ai*; Lili Yang; Lianlian Xu; Pengfei Xu*; Gender Differences in Transnational Brand Purchase Decision Toward Mixed Culture and Original Culture Advertisements: An fNIRS Study, Frontiers in Psychology, 2021, 12:654360.
(3)Qiudi Feng; Yan Xu; Yonghao Ye; Lian Duan*; Social Pressure Mediates the Negative Impact of Guilt on Fair Allocation in Multi-Party Interactions, Social Justice Research, 2021, 34:97–117.
(4)Xin Hou; Zong Zhang; Chen Zhao; Lian Duan; Yilong Gong; Zheng Li; Chaozhe Zhu; NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis, Neurophotonics, 2021, 8(1): 010802.
(5)Lian Duan; Nicholas T. Van Dam; Hui Ai*; Pengfei Xu*; Intrinsic organization of cortical networks predicts state anxiety: an functional near-infrared spectroscopy (fNIRS) study, Translational Psychiatry, 2020, 10:402.
(6)Lian Duan; Xiaoqin Mai*; Spectral clustering-based resting-state network detection approach for functional near-infrared spectroscopy, Biomedical Optics Express, 2020, 11(4): 2191-2204.
(7)Lian Duan; Qiudi Feng*; Pengfei Xu; Using Functional Near-Infrared Spectroscopy to Assess Brain Activation Evoked by Guilt and Shame, Frontiers in Human Neuroscience, 2020, 14:197.
(8)Yongling Lin; Lian Duan; Pengfei Xu; Xinying Li; Ruolei Gu*; Yuejia Luo*; Electrophysiological indexes of option characteristic processing, Psychophysiology, 2019, 00:e13403.
(9)Lian Duan#; Ziping Zhao#; Yongling Lin; Xiaoyan Wu; Yuejia Luo*; Pengfei Xu*; Wavelet-based method for removing global physiological noise in functional near-infrared spectroscopy, Biomedical Optics Express, 2018, 9(8): 3805.
(10)Feichi Wang; Mengchai Mao; Lian Duan; Yuxia Huang; Zheng Li; Chaozhe Zhu*; Intersession Instability in fNIRS-Based Emotion Recognition, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018, 26(7): 1324-1333.
(11)Zheng Li, Yi-Han Jiang, Lian Duan, Chaozhe Zhu*, A Gaussian mixture model based adaptive classifier for fNIRS brain-computer interfaces and its testing via simulation, Journal of Neural Engineering, 2017, 14(4):046014.
(12)Yang Zhao, Rui-Na Dai, Xiang Xiao, Zong Zhang, Lian Duan, Zheng Li, Chao-Zhe Zhu*, Independent component analysis-based source-level hyperlink analysis for two-person neuroscience studies, Journal of Biomedical Optics, 2017, 22(2): 027004.
(13)Xiang Xiao, Hao Zhu, Wei-Jie Liu, Xiao-Ting Yu, Lian Duan, Zheng Li, Chao-Zhe Zhu*, Semi-automatic 10/20 Identification Method for MRI-Free Probe Placement in Transcranial Brain Mapping Techniques, Frontiers in Neuroscience, 2017, 11:4.
(14)Yuxia Huang, Mengchai Mao, Zong Zhang, Hui Zhou, Yang Zhao, Lian Duan, Ute Kreplin, Xiang Xiao, Chaozhe Zhu*, Test-retest reliability of the prefrontal response to affective pictures based on functional near-infrared spectroscopy, Journal of Biomedical Optics, 2017, 22(1): 016011.
(15)Lian Duan#; Rui-Na Dai#; Xiang, Xiao; Pei-Pei Sun; Zheng Li; Chao-Zhe Zhu*; Cluster imaging of multi-brain networks (CIMBN): a general framework for hyperscanning and modeling a group of interacting brains, Frontiers in Neuroscience, 2015, 9:267.
(16)Yu-Jin Zhang, Fu-Lun Tan, Xu Xu, Lian Duan, Hanli Liu, Feng-Hua Tian*, Chao-Zhe Zhu*, Multiregional functional near-infrared spectroscopy reveals globally symmetrical and frequency-specific patterns of superficial interference, Biomedical Optics Express, 2015, 6(8): 2786-802
(17)Lian Duan; Wei-Jie Liu; Rui-Na Dai; Rui Li; Chun-Ming Lu; Yu-Xia Huang; Chao-Zhe Zhu*; Cross-Brain Neurofeedback: Scientific Concept and Experimental Platform, PLoS One, 2013, 8(5): e64590.
(18)Lian Duan; Yu-Jin Zhang; Chao-Zhe Zhu*; Quantitative comparison of resting-state functional connectivity derived from fNIRS and fMRI：A simultaneous recording study, NeuroImage, 2012, 60(4): 2008-2018.
(19)Yu-Jin Zhang, Lian Duan, Han Zhang, Bharat B. Biswal, Chun-Ming Lu, Chao-Zhe Zhu*, Determination of Dominant Frequency of Resting-State Brain Interaction within One Functional System, PLoS One, 2012, 7(12): e51584.
(20)Han Zhang, Lian Duan, Yu-Jin Zhang, Chun-Ming Lu, Hanli Liu, Chao-Zhe Zhu*, Test-retest assessment of independent component analysis-derived resting-state functional connectivity based on functional near-infrared spectroscopy, Neuroimage, 2011, 55(2):607-615.
(21)Han Zhang, Yu-Jin Zhang, Lian Duan, Shuang-Ye Ma, Chun-Ming Lu, Chao-Zhe Zhu*, Is resting-state functional connectivity revealed by functional near-infrared spectroscopy test-retest reliable?, Journal of Biomedical Optics, 2011, 16(6): 067008.
TEACHING EXPERIENCE
'Social Neuroscience' for undergraduates in the Faculty of Psychology, and 'Machine Learning' for postgraduates.
