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Zhen Yuan [8]Zheng Yuan [2]Zhenhua Yuan [1]Zhen'guo Yuan [1]
  1.  32
    Different Neural Correlates of Emotion-Label Words and Emotion-Laden Words: An ERP Study.Juan Zhang, Chenggang Wu, Yaxuan Meng & Zhen Yuan - 2017 - Frontiers in Human Neuroscience 11.
  2.  45
    Resting-State Neuroimaging and Neuropsychological Findings in Opioid Use Disorder during Abstinence: A Review.Hada Fong-ha Ieong & Zhen Yuan - 2017 - Frontiers in Human Neuroscience 11.
  3.  15
    Editorial: Techniques Advances and Clinical Applications in Fused EEG-fNIRS.Zhen Yuan, Xin Zhang & Mingzhou Ding - 2019 - Frontiers in Human Neuroscience 13.
  4.  51
    Biofunctional Understanding and Judgment of Size.Zheng Jin, Yang Lee & Zheng Yuan - 2016 - Frontiers in Psychology 7.
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  5. Diffusion Tensor Imaging Tractography Reveals Disrupted White Matter Structural Connectivity Network in Healthy Adults with Insomnia Symptoms.Feng-Mei Lu, Jing Dai, Tania A. Couto, Chun-Hong Liu, Heng Chen, Shun-Li Lu, Li-Rong Tang, Chang-Le Tie, Hua-Fu Chen, Man-Xi He, Yu-Tao Xiang & Zhen Yuan - 2017 - Frontiers in Human Neuroscience 11.
  6.  28
    Corrigendum: Biofunctional Understanding and Judgment of Size.Zheng Jin, Yang Lee & Zheng Yuan - 2018 - Frontiers in Psychology 9.
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  7.  31
    Brain Hemispheres Swap Dominance for Processing Semantically Meaningful Pitch.Xiao-Dong Wang, Hong Xu, Zhen Yuan, Hao Luo, Ming Wang, Hua-Wei Li & Lin Chen - 2021 - Frontiers in Human Neuroscience 15.
    The question of what determines brain laterality for auditory cognitive processing is unresolved. Here, we demonstrate a swap of hemisphere dominance from right to left during semantic interpretation of Chinese lexical tones in native speakers using simultaneously recorded mismatch negativity response and behavioral reaction time during dichotic listening judgment. The mismatch negativity, which is a brain wave response and indexes auditory processing at an early stage, indicated right hemisphere dominance. In contrast, the behavioral reaction time, which reflects auditory processing at (...)
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  8.  31
    A Look Into the Power of fNIRS Signals by Using the Welch Power Spectral Estimate for Deception Detection.Jiang Zhang, Jingyue Zhang, Houhua Ren, Qihong Liu, Zhengcong Du, Lan Wu, Liyang Sai, Zhen Yuan, Site Mo & Xiaohong Lin - 2021 - Frontiers in Human Neuroscience 14.
    Neuroimaging technologies have improved our understanding of deception and also exhibit their potential in revealing the origins of its neural mechanism. In this study, a quantitative power analysis method that uses the Welch power spectrum estimation of functional near-infrared spectroscopy signals was proposed to examine the brain activation difference between the spontaneous deceptive behavior and controlled behavior. The power value produced by the model was applied to quantify the activity energy of brain regions, which can serve as a neuromarker for (...)
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  9.  29
    Combining Behavioral and ERP Methodologies to Investigate the Differences Between McGurk Effects Demonstrated by Cantonese and Mandarin Speakers.Juan Zhang, Yaxuan Meng, Catherine McBride, Xitao Fan & Zhen Yuan - 2018 - Frontiers in Human Neuroscience 12.
  10.  42
    Combining self-organizing mapping and supervised affinity propagation clustering approach to investigate functional brain networks involved in motor imagery and execution with fMRI measurements.Jiang Zhang, Qi Liu, Huafu Chen, Zhen Yuan, Jin Huang, Lihua Deng, Fengmei Lu, Junpeng Zhang, Yuqing Wang, Mingwen Wang & Liangyin Chen - 2015 - Frontiers in Human Neuroscience 9.
  11.  10
    Two-Stage User Identification Based on User Topology Dynamic Community Clustering.Jiajing Zhang, Zhenhua Yuan, Neng Xu, Jinlan Chen & Juxiang Wang - 2021 - Complexity 2021:1-10.
    In order to solve the problem of node information loss during user matching in the existing user identification method of fixed community across the social network based on user topological relationship, Two-Stage User Identification Based on User Topology Dynamic Community Clustering algorithm is proposed. Firstly, we perform community clustering on different social networks, calculate the similarity between different network communities, and screen out community pairs with greater similarity. Secondly, two-way marriage matching is carried out for users between pairs of communities (...)
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