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Journal Publications

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1. Samogin J*, Liu Q,*, Marino M, Wenderoth N, Mantini D. (2019), Shared and connection-specific intrinsic interactions in the default mode network, NeuroImage. (* equal contribution)

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2. Wei S, Liu Q, Harrington M.G, Sun J, Wu H, Liu X (2019). Nonconformist tendencies related to risky choices in female methamphetamine abstainers, The American journal of drug and alcohol abuse, 1-10

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3. Marino M*, Liu Q*, Samogin J, Tecchio F, Mantini D, Porcaro C (2018). Neuronal dynamics enable the functional differentiation of resting state networks in the human brain, Human Brain Mapping, https://doi.org/10.1002/hbm.24458. (* equal contribution)

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4. Ruddy K.L, Balsters J, Mantini D, Liu Q, Kassraian-Fard P, Enz N, Mihelj E, Chander B, Soekadar S.R., Wenderoth N (2018), A different state of mind: neural activity related to volitionally up-versus downregulating cortical excitability, eLife

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5. Liu Q, Farahibozorg S, Porcaro C, Wenderoth N and Mantini D (2017). Detecting large-scale networks in the human brain using high-density electroencephalography. Human Brain Mapping. 38 (9), 4631-4643

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6. Liu Q, Ganzetti M, Wenderoth N, Mantini D, (2018). Detecting large-scale brain networks using EEG: impact of electrode density, head modelling and source localization, Frontiers in Neuroinformatics 12 (4)

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7. Liu Q, Balsters JH, Baechinger M, van der Groen O, Wenderoth N and Mantini D (2015). Estimating a neutral reference for electroencephalographic recordings: the importance of using a high-density montage and a realistic head model. Journal of Neural Engineering 12(5): 056012.

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8. Zhao Q, Jiang H, Hu B, Li Y, Zhong N, Li M, Lin W and Liu Q# (2017). Nonlinear Dynamic complexity and Sources of Resting-state EEG in Abstinent Heroin Addicts. IEEE Transactions on NanoBioscience. DOI: 10.1109/TNB.2017.2705689 ( # corresponding author)

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9. Zhao Q, Li H, Hu B, Li Y, Gillebert C, Mantini D, Liu Q# (2017). Neural correlates of drug-related attentional bias in heroin dependence. Frontiers in Human Neuroscience. DOI: 10.3389/fnhum.2017.00646 (# corresponding author)

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10. Zhao Q, Li H, Hu B, Wu H, Liu Q# (2017). Abstinent heroin addicts tend to take risks: ERP and source localization. Frontiers in Neuroscience 11, 681 (# corresponding author)

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Marino M, Liu Q, Koudelka V, Porcaro C, Hlinka J, Wenderoth N, Mantini D. Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI, Scientific Reports (1), 8902

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Marino M, Liu Q, Del Castello M, Corsi C, Wenderoth N, Mantini D (2018). Heart–Brain Interactions in the MR Environment: Characterization of the Ballistocardiogram in EEG Signals Collected During Simultaneous fMRI, Brain topography 31 (3), 337-345

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Bächinger M, Zerbi V, Moisa M, Polania R, Liu Q, Mantini D, Ruff C and Wenderoth N (2017). Concurrent tACS-fMRI reveals causal influence of power synchronized neural activity on resting state fMRI connectivity. Journal of Neuroscience 1756-16

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Ganzetti M, Liu Q, Mantini D, (2018). A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain, Neuroinformatics, https://doi.org/10.1007/s12021-018-9355-3

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Cao J, Liu Q, Li Y, Yang J, Gu R, Liang J, Qi Y, Wu H, Liu X (2017). Cognitive behavioural therapy attenuates the enhanced early facial stimuli processing in social anxiety disorders: an ERP investigation. Behavioral and Brain Functions 13 (1), 12

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Marino M, Liu Q, Brem S, Wenderoth N and Mantini D (2016). Automated detection and labelling of high-density EEG electrodes from structural MR images. Journal of Neural Engineering 13(15): 056003

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Li X, Zhao Q, Liu L, Peng H, Qi Y, Mao C, Fang Z, Liu Q and Hu B. (2010). Improve Affective Learning with EEG Approach. Computing and Informatics 29(4): 557-570.

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Conference Proceedings

 

  1. Liu Q, Nakahira Y, Mohideen A, Dai A, Choi S, Pan A, Ho D, and Doyle J (2019). Experimental and educational platforms for studying architecture and tradeoffs in human sensorimotor control, American Control Conference (ACC)

  2. Liu Q, Wu H, Liu A (2019). Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning, Real-world Sequential Decision Making workshop at the 36th International Conference on Machine Learning

  3. Nakahira Y, , Bernat N, Sejnowski T, and Doyle J (2019). Theoretical foundations for layered architectures and speed-accuracy tradeoffs in sensorimotor control, American Control Conference (ACC)

  4. Hu B, Zhao Q, Zhou S, Peng H, (2017). Risky Decision-Making in Abstinent Heroin Addicts: an ERP Study. Proceedings of the 9th International Conference on Bioinformatics and Biomedical Technology 33-38

  5. Zhao Q, Hu B, Lin W, Li Z, Jiang H, Xue Z, Li H, and (2016). Nonlinear Dynamic Analysis of Resting EEG Alpha Activity for Heroin Addicts. The 2016 IEEE International Conference on Bioinformatics and Biomedicine

  6. Zhao M, Zhao Q, , Li N, Peng H and Hu B (2013). A Humanoid Robot Used as an Assistive Intervention Tool for Children with Autism Spectrum Disorder: A Preliminary Research. Brain and Health Informatics 8211: 336-347.

  7. Peng H, Hu B, Li L, Ratcliffe M, Zhai J, Zhao Q, Shi Q, Li Y and (2013). A study on validity of cortical alpha connectivity for schizophrenia. Conf Proc IEEE Eng Med Biol Soc 2013: 3286-3290.

  8. Zhao Q, Hu B, Li Y, Peng H, Li L, , Li Y, Shi Q and Feng J (2013). An Alpha resting EEG study on nonlinear dynamic analysis for schizophrenia. 2013 6th International IEEE/EMBS Conference on Neural Engineering

  9. Zhao Q, Hu B, Liu L, Ratcliffe M, Peng H, Zhai J, Li L, Shi Q, and Qi Y (2012). An EEG based nonlinearity analysis method for schizophrenia diagnosis. Biomedical Engineering 9(1): 136.

  10. Li Y, Li X, Ratcliffe M, Liu L, Qi Y and (2011). A real-time EEG-based BCI system for attention recognition in ubiquitous environment. Proceedings of 2011 international workshop on Ubiquitous affective awareness and intelligent interaction, ACM.

  11. Peng H, Hu B, , Dong Q, Zhao Q and Moore P (2011). User-centered depression prevention: An EEG approach to pervasive healthcare. Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on, IEEE.

  12. Zhao Q, Peng H, Hu B, Li L, Qi Y, and Liu L (2010). Towards an efficient and accurate EEG data analysis in EEG-based individual identification. Ubiquitous intelligence and computing: 534-547.

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