刘泉影
副研究员
liuqy@sustech.edu.cn
个人主页


刘泉影博士的研究主要集中于多模态脑成像及脑网络算法、神经计算模型、类脑计算、神经反馈控制等领域，属于跨学科的前沿交叉研究，包括计算机科学和自动控制等学科的理论与算法，及其在神经科学、心理学和生物医学等方向的应用。刘泉影博士将高通道脑电（high-density EEG）与核磁脑影像（fMRI）相结合，提出基于精准脑模型的脑源定位算法和脑网络分析算法；将反馈控制理论用于感知觉运动系统研究，提出了人脑‘分层架构’理论与‘Diversity-enabled Sweet Spots’理论；并将计算建模与神经信号相结合用以研究大脑的计算机制。 刘泉影博士曾在美国加州理工学院计算与数学科学学院，任职博士后研究员，并在美国亨廷顿医学研究中心任职独立研究员。现为南方科技大学生物医学工程系副研究员。她曾获得瑞士科学基金、美国Boswell基金和比利时FWO基金的资助，取得了一系列突出的研究成果，在eLife、Neuroimage、Human Brain Mapping、Journal of Neuroscience、Journal of neural engineering等国际权威期刊共发表论文17篇，American Control Conference等顶级会议论文12篇。其发表的论文被引用超过350次。
刘泉影老师接收研究助理、硕士和博士申请者。欢迎数学功底良好、对大脑科学感兴趣的同学，报考刘泉影老师的硕士或博士。
研究方向：
1）神经计算建模（贝叶斯模型、Drift Diffusion Model）
2）多模态成像技术（fMRI-EEG），多通道脑电（high-density EEG）源定位与脑成像
3）神经反馈控制、脑机接口（Neurofeedback，Brain-computer interface）
4）非侵入式脑刺激 （TMS, tDCS/tACS）
5）鲁棒控制与运动控制 （Robust control，Sensorimotor control）
教育背景
2013-2017? ? 博士在读，瑞士苏黎世联邦理工学院，健康科学与技术学院，生物医学工程。导师：Dr. Nicole Wenderoth，Dr. Dante Mantini
2010-2013???硕士在读，中国兰州大学，信息科学与工程学院，计算机软件与理论。导师：胡斌教授
2006-2010???本科在读，中国兰州大学，信息科学与工程学院，电子信息科学与技术。
研究经历
2016-2017???访问****，比利时鲁汶大学，运动控制与神经可塑性实验室
2016.10????????访问****，德国弗莱堡大学，“无侵入式脑刺激”暑期培训班
2014-2015????访问****，英国牛津大学，实验心理学院
研究项目
2018-2021????FWO Postdoctoral Fellowship (3 years)
2017-2019????Boswell Postdoctoral Fellowship ($54,075+$7,000 per annum for 2 years)
2015-2017????Swiss National Science Foundation for Doc.Mobility grant (45,500 CHF for one year)
2014-2015????Swiss National Science Foundation for Mobility grant (19,510 CHF for one year)
获奖
AAIC travel award (2019);
Estes Stars Award (2018);
研究生国家奖学金(2013);
IBM 中国优秀学生奖学金(2013);
杂志论文（包含preprint论文）
1) Samogin J*, Liu Q*, Marino M, Wenderoth N, Mantini D. (2019), Shared and connection-specific intrinsic interactions in the default mode network, NeuroImage 200 (2019) 474–481 (* equal contribution)
2) 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
3)?Marino M*, Liu Q*, Samogin J, Tecchio F, Mantini D, Porcaro C (2019). 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)
4)?Nakahira Y*, Liu Q*, Sejnowski T, Doyle J.C.?(2019), Fitts’ Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control,?https://arxiv.org/pdf/1906.00905.pdf?(* equal contribution)
5) Liu Q, Nakahira Y, Mohideen A, Dai A, Choi S.H, Pan A, Ho D.M, Doyle J.C. (2019), WheelCon: A wheel control-based gaming platform for studying human sensorimotor control, https://arxiv.org/abs/1811.00738 (arxiv)
6)?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, https://elifesciences.org/articles/40843
7)?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)
8)?Wu H, Feng C, Lu X, Liu X, Liu Q#, (2018).?Oxytocin effects on the resting-state mentalizing brain network, https://www.biorxiv.org/content/early/2018/11/08/465658?(#?corresponding author, biorxiv)
9)?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.
10)?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
11)?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)
12)?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)
13)?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.** (#?corresponding author)
14)?Marino M, Liu Q, Koudelka V, Porcaro C, Hlinka J, Wenderoth N, Mantini D (2018). Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI, Scientific Reports (1), 8902
15)?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
16)?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
17)?B?chinger 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
18)?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
19)?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
20)?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.