通讯地址：辽宁师范大学脑与认知神经科学研究中心317室
邮编：116029
电子邮件：charlesliu116@gmail.com
个人简历：
刘东强，现任职于辽宁师范大学脑与认知科学研究中心，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）采用多模态神经成像技术与计算建模方法探究认知老化神经机制
2）静息态fMRI计算方法学及其在脑疾病中的应用
招生要求：
勤奋上进，有较强的数理与编程基础，对脑科学与交叉学科研究具有浓厚兴趣
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”，2013/01-2015/12，23万元
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”，2016/07-2019/07，8万
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”，2019/07-2022/07，3万
辽宁师范大学人才引进科研启动费，“静息态脑自发活动生理机制”， 2016/01-2018/12, 5万
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”，2014/01-2016/12，24万元
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”，2013/01-2016/12，70万元
浙江省自然科学基金重点项目，“人脑功能连接组：频率、零模型、可重复性和再测信度的方法学评价研究”，2013/06-2016/12，30万元
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
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：
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, 2022, doi: 10.1093/cercor/bhac124. Online ahead of print. (# share co-first authorship)
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): 2583-92, 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.
