通讯地址：辽宁师范大学心理与脑科学研究院317室
邮编：116029
电子邮件：liudq@lnnu.edu.cn, charlesliu116@gmail.com
个人简历：
刘东强，现任职于辽宁师范大学心理与脑科学研究院，助理教授，硕士生导师。2010年博士毕业于北京师范大学认知神经科学与学习国家重点实验室。
研究兴趣：
1）静息态fMRI计算方法学及其在脑疾病中的应用
2）采用多模态神经成像技术探究焦虑及相关情感障碍的神经机制
3）认知老化
招生要求：
勤奋上进，对脑科学与心理学研究具有浓厚兴趣，有较强的数理与编程基础优先
部分毕业生：
2015级：张培文就职于伊瑞德公司
2016级：王鑫博就职于网易公司，钱淑芳考入浙江大学读博士，后就职于复旦大学；屈秀娟考入北京师范大学读博，后在清华大学从事博士后研究
2017级：王睿迪考入中科院心理所读博士，后在该所从事博士后研究
2018级：陈柯宇考入华东师范大学读博士，王晴就职于脑海科技
2019级：李杰就职于脑海科技
2021级：张萌就职于脑海科技
2022级：贾宇考入华东师范大学读博，闫志强考入华南师范大学读博
主持课题：
国家自然科学基金青年基金项目， “基于静息态fMRI的自发脑活动频率特异性特征及计算方法学研究”，2013-2015
教育部人文社科项目交叉学科研究，“基于静息态fMRI的脑自发波动振幅响应机制的时空模式与调控机制研究”，2016-2019
辽宁省教育厅自然科学研究项目，“基于点过程的静息态fMR1低频振幅解析及其在孤独症中的应用”，2019-2022
辽宁省教育厅自然科学研究项目，“静息态fMRI瞬态脑活动提取方法优化及其在阿尔兹海默症研究中的应用”，2024-2026
参与项目：
国家自然科学基金青年基金项目，“基于多模态神经影像的抑郁症脑结构和功能网络研究”，2014-2016
国家自然科学基金面上项目，“抑郁症患者下丘脑神经影像学征象及其意义”，2013-2016
大连市科技局高层次人才创新支持计划，“成瘾的脑认知功能评测与调控干预体系研究”，2021-2022
国家自然科学基金重点国际（地区）合作与交流项目，“时间感影响决策的脑机制”，2021-2025
学术兼职：
辽宁师范大学校学术委员会委员
Frontiers in Human Neuroscience评审编辑
PLoS Computational Biology, Journal of Neuroscience Methods, Magnetic Resonance Imaging等期刊审稿人
获得奖励：
2021年，辽宁师范大学优秀研究生指导教师
2020年，辽宁师范大学优秀科研管理工作者
2019年，辽宁师范大学优秀教育工作者
2018年，辽宁省百千万人才工程“万”层次人才
部分代表论文：
Yuan B, Xie H, Wang Z, Xu Y, Zhang H, Liu J, Chen L, Li C, Tan S, Lin Z, Hu X, Gu T, Lu J, Liu D*, Wu J. The domain-separation language network dynamics in resting state support its flexible functional segregation and integration during language and speech processing. Neuroimage, 274:120132, 2023.
Yuan B, Xie H, Gong F, Zhang N, Xu Y, Zhang H, Liu J, Chen L, Li C, Tan S, Lin Z, Hu X, Gu T, Cheng J, Lu J, Liu D*, Wu J, Yan J. Dynamic network reorganization underlying neuroplasticity: the deficits-severity-related language network dynamics in patients with left hemispheric gliomas involving language network. Cerebral Cortex, 33: 8273-8285, 2023.
Zhang J.#, Liu D.Q.#, Qian S., Qu X., Zhang P., Ding N., Zang Y.F. The neural correlates of amplitude of low-frequency fluctuation: a multimodal resting-state MEG and fMRI-EEG study. Cerebral Cortex, 33(4): 1119-1129, 2022
Chen K.,Li C., Sun W., Tao Y., Wang R., Hou W., Liu D.Q.* Hidden Markov modeling reveals prolonged “baseline” state and shortened antagonistic state across the adult lifespan. Cerebral Cortex, 32(2): 439-453, 2022.
Wang Q., Li Y., Li Y., Lv Y.T., Ma H.B., Xiang A.F., Jia X.Z., Liu D.Q.* Resting-state abnormalities in functional connectivity of the default mode network in autism spectrum disorder: a meta-analysis. Brain Imaging and Behavior, 15(5): 2583-2592, 2021.
Wang X., Wang Q., Zhang P., Qian S., Liu S., Liu D.Q.* Reducing inter-site variability for fluctuation amplitude metrics in multisite resting state BOLD-fMRI data. Neuroinformatics, 19(1): 23-38, 2021.
Qian S.F., Wang X.B., Qu X.J., Zhang P.,Wang R.D., Li Q.Y., Liu D.Q.* Links between the amplitude modulation of low-frequency spontaneous fluctuation across resting state conditions and thalamic functional connectivity. Frontiers in Human Neuroscience , 13: 199, 2019.
Zhang P.W., Qu X.J., Qian S.F., Wang X.B., Wang R.D., Li Q.Y., Liu S.Y., Chen L.H., Liu D.Q.* Dissociation between task induced variability modulation and evoked activation revealed by BOLD-fMRI and eyes-open/eyes-closed contrast. Frontiers in Neuroscience , 12: 516, 2018.
Huang P, Tan YY, Liu DQ, Herzallah MM, Lapidow E, Wang Y, Zang YF, Gluck MA, Chen SD. Motor-symptom laterality affects acquisition in Parkinson's disease: A cognitive and functional magnetic resonance imaging study. Movement Disorders, 32(7): 1047-1055, 2017.
Yuan B.K., Zang Y.F., Liu D.Q.* Influences of head motion regression on high-frequency oscillation amplitudes of resting-state fMRI signals. Frontiers in Human Neuroscience, 10: 243, 2016.
Qing Z., Dong Z., Li S., Zang Y., Liu D.* Global signal regression has complex effects on regional homogeneity of resting state fMRI signal. Magnetic Resonance Imaging, 33(10): 1306-1313, 2015.
Zou Q., Yuan B.K., Gu H., Liu D., Wang D.J., Gao J.H., Yang Y., Zang Y.F. Detecting static and dynamic differences between eyes-closed and eyes-open resting states using ASL and BOLD fMRI. PLoS One, 10(3): e0121757, 2015.
Yuan B.K., Wang J., Zang Y.F., Liu D.Q.* Amplitude difference in high-frequency fMRI signals between eyes open and eyes closed resting states. Frontiers in Human Neuroscience, 8: 503, 2014.
Liu D.Q.*, Dong Z.Y., Zuo X.N., Wang J., Zang Y.F. Eyes-open/Eyes-closed dataset sharing for reproducibility evaluation of resting state fMRI data analysis methods. Neuroinformatics, 11(4): 469-476, 2013.
Dong Z.Y., Liu D.Q., Wang J., Qing Z., Zang Z.X., Yan C.G., Zang Y.F. Low-frequency fluctuation in continuous real-time feedback of finger force: a new paradigm for sustained attention. Neuroscience Bulletin, 28(4): 456-67, 2012.
Liu D.Q., Yan C.G., Ren J.J., Yao L., Kiviniemi VJ, Zang Y.F. Using coherence to measure regional homogeneity of resting state fMRI signal. Frontiers in Systems Neuroscience, 4: 24, 2010.
Yan C.G., Liu D.Q., He Y., Zou Q.H., Zhu C.Z., Zuo X.N., Long X.Y., Zang Y.F. Spontaneous brain activity in the default mode network is sensitive to different resting state conditions with limited cognitive load. PLoS One, 4(5): e5743, 2009.
