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杜宇慧

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  • 杜宇慧

    最终学历:研究生

    研究方向:脑影像分析、医学图像处理

    电子邮箱:duyuhui@sxu.edu.cn

  • 最终学位:博士

    研究生导师:博士生导师

    联系电话:0351-7010566

个人简介

杜宇慧教授近十年来一直从事人工智能、医学图像处理、大数据分析领域的科研工作,在计算机、信息、医学等学科交叉前沿的脑影像分析领域取得很好的成就,在国内国际上有良好的学术声誉。

她2013年1月在中国科学院自动化研究所获博士学位(模式识别与智能系统专业),2013年5月至2018年8月在美国The Mind Research Network脑影像研究所的Vince D Calhoun教授组里工作,先后任职博士后和PI(Principal Investigator)研究员。至今,杜宇慧教授在《NeuroImage》、《Human Brain Mapping》、《Nature Communications》等著名杂志发表论文约60篇,其中SCI收录英文文章33篇,SCI论文的影响因子总和约为176。以第一作者或通讯作者发表25篇,其中一区或top期刊文章5篇,二区以上文章10篇。杜宇慧教授以第一作者在2016年发表的一篇论文为ESI“高被引论文”(引用率位于前1%),且入选研究前沿(Research Front) 论文。目前,谷歌学术显示:杜宇慧教授的论文总引用率为1039,h指数为17,i10指数为28。杜宇慧教授主持和参与多项国家自然科学基金项目,曾参与美国国家国立卫生研究院项目、美国国家科学基金项目、美国生物医学研究卓越项目等项目。杜宇慧教授开发的“组信息指导独立成分分析”(GIG-ICA)脑影像分析方法已被集成到国际上广泛使用的脑影像分析软件Group ICA Toolbox(GIFT)中(http://mialab.mrn.org/software/#gica),为该软件组独立成分分析的三大算法之一,而且该方法获得专利和软件著作权。杜宇慧教授两次获得脑影像领域最顶级组织--国际人类脑图谱/脑成像学会(OHBM)颁发的“Trainee Abstract Travel Awards”这一重要奖项。杜宇慧教授是约30种国际著名杂志和会议的特邀审稿人,作为审稿人审理的刊物包括Nature Communications(SCI影像因子约为12)、The American Journal of Psychiatry (SCI影响因子约为14)、Schizophrenia Bulletin(SCI影响因子约为8)、Neuroimage(神经成像期刊类排名第一)、Human Brain Mapping、IEEE Transactions on Neural Networks and Learning System、IEEE Transactions on Biomedical Engineering等。杜宇慧教授是Frontiers 杂志的Special Issue“Identifying Neuroimaging-Based Markers for Distinguishing Brain Disorders”的组织者和编辑。杜宇慧在The Mind Research Network研究所工作期间带领NeuroMark团队下的博士后和博士生从事科研工作。杜宇慧与The Mind Research Network、耶鲁大学、德州大学西南医学中心、哈佛大学、中国科学院等国际知名单位合作,进行精神疾病的医学影像标志探索研究。

杜宇慧教授更多信息请访问 http://www.yuhuidu.com/

主持或参与项目
  • 目前主持国家自然科学基金“基于动态脑功能网络分析发掘精神病的影像标志”,曾参与国家自然科学基金面上项目“基于脑影像的精神分裂症定性诊断与定量分析的模式识别研究”、国家自然科学基金重大研究计划“基于神经影像的脑网络分析方法及其在神经退行性脑疾病研究中的应用”、美国国家国立卫生研究院项目(NIH,National Institutes of Health grants R01EB006841)、美国国家科学基金项目(National Sciences Foundation grants 1016619)、美国生物医学研究卓越项目(the Centers of Biomedical Research Excellence (COBRE) grant 5P20RR021938/P20GM103472)等。

发表论文
  • [1] Yuhui Du*, Godfrey D Pearlson, Jingyu Liu, Jing Sui, Qingbao Yu, Hao He, Eduardo Castro, Vince D Calhoun. A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. NeuroImage, 2015, 122, 272-280.

    [2] Yuhui Du and Yong Fan. Group information guided ICA for fMRI data analysis. NeuroImage, 2013, 69: 157-197.

    [3] Yuhui Du*, Susanna L Fryer, Zening Fu, Dongdong Lin, Jing Sui, Jiayu Chen, Eswar Damaraju, Eva Mennigen, Barbara Stuart, Rachel L. Loewy, Daniel H. Mathalon & Vince D. Calhoun. Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. Neuroimage, 2018, 632-645.

    [4] Yuhui Du*, Elena A Allen, Hao He, Jing Sui, Lei Wu, Vince D Calhoun. Artifact removal in the context of group ICA: a comparison of single-subject and group approaches. Human Brain Mapping, 2016, 37(3): 1005-1025.

    [5] Yuhui Du*, Godfrey D. Pearlson, Qingbao Yu, Hao He, Dongdong Lin, Jing Sui, Lei Wu, Vince D. Calhoun. Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach. Schizophrenia Research, 2016, 170(1): 55-65.

    [6] Yuhui Du*, Godfrey D Pearlson, Dongdong Lin, Jing Sui, Jiayu Chen, Mustafa Salman, Carol A. Tamminga, Elena I. Ivleva, John A. Sweeney, Matcheri S. Keshavan, Brett A. Clementz, Juan Bustillo, Vince D. Calhoun. Identifying dynamic functional connectivity biomarkers using GIG-ICA: application to schizophrenia, schizoaffective disorder and psychotic bipolar disorder. Human Brain Mapping, 2017, 38(5), 2683-2708.

    [7] Yuhui Du*, Dongdong Lin, Jing Sui, Jiayu Chen, Qingbao Yu, Tulay Adali, Vince D. Calhoun. Comparison of IVA and GIG-ICA in brain functional network estimation using fMRI data. Frontiers in Neuroscience, 2017, 11, 267.

    [8] Yuhui Du*, Susanna L Fryer, Dongdong Lin, Jing Sui, Qingbao Yu, Jiayu Chen, Barbara Stuart, Rachel L. Loewy, Vince D Calhoun, Daniel H Mathalon. Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study. Neuroimage: Clinical, 2018, 17: 335-346.

    [9] Yuhui Du*, Zening Fu, Vince D Calhoun. Classification and Prediction of Brain Disorders using Functional Connectivity: Promising but Challenging. Frontiers in Neuroscience, 2018, 12, 525.

    [10] Mustafa S Salman, Yuhui Du*, Dongdong Lin, Zening Fu, Alex Fedorova, Eswar Damaraju, Jing Sui, Jiayu Chen, Andrew Mayer, Stefan Posse, Daniel Mathalon, Judith M. Ford, Theodorus Van Erp, Vince D. Calhoun.. Group ICA for Identifying Biomarkers in Schizophrenia: ‘Adaptive’ Networks via Spatially Constrained ICA Show More Sensitivity to Group Differences than Spatio-temporal Regression. NeuroImage Clinical, 2019. https://doi.org/10.1016/j.nicl.2019.101747

    [11] Yuhui Du*, Godfrey D Pearlson, Hao He, Lei Wu, Jiayu Chen, Vince D Calhoun. Identifying brain dynamic network states via GIG-ICA: Application to schizophrenia, bipolar and schizoaffective disorders. IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, 478-481.

    [12] Yuhui Du*, Hao He, Lei Wu, Qingbao Yu, Jing Sui, Vince D Calhoun. Dynamic default mode network connectivity diminished in patients with schizophrenia. IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, 474-477.

    [13] Yuhui Du*, Jing Sui, Qingbao Yu, Hao He, Godfrey Pearlson, Vince D. Calhoun. Exploring difference and overlap for schizophrenia, bipolar illness and schizoaffective disorder using resting-state brain functional networks. The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2014, 1517-1520.

    [14] Yuhui Du*, Elena A Allen, Hao He, Jing Sui, Vince D Calhoun. Brain functional networks extraction based on fMRI artifact removal: Single subject and group approaches. The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2014, 1026-1029.

    [15] Yuhui Du*, Jing Sui, Qingbao Yu, Hao He, Vince D. Calhoun.Semi-supervised learning of brain functional networks. IEEE International Symposium on Biomedical Imaging (ISBI), 2014, 1-4.

    [16] Yuhui Du*, Hongming Li, and Yong Fan. Identification of subject specific and functional consistent ROIs using semi-supervised learning. SPIE Medical Imaging, 2012, 83144S-83144S-7.

    [17] Yuhui Du*, Zhiguo gui, Yingjun Liu, Fangfang Chen. Review of independent component analysis methods for brain functional networks, Biophysics Reports, 2013, 29(4): 266-275.

    [18] Yuhui Du*, Zening Fu, Dongdong Lin, Mustafa Salman, Md Abdur Rahaman, Anees Abrol, Vince D. Calhoun. Shared and specific changes in functional networks in schizophrenia and autism spectrum disorder. The 24th Annual Meeting of the Organization for Human Brain Mapping, 2018.

    [19] Yuhui Du*, Susanna L Fryer, Eva Mennigen, Eswar Damaraju, Daniel H. Mathalon & Vince D. Calhoun. Clinical high-risk subjects show slight impairment in brain networks compared to early schizophrenia. The 22th Annual Meeting of the Organization for Human Brain Mapping, 2016. “Trainee Abstract Travel Awards”.

    [20] Yuhui Du and Yong Fan. Group information guided ICA for analysis of multi-subject fMRI data. The 18th Annual Meeting of the Organization for Human Brain Mapping, 2011. “Trainee Abstract Travel Awards”.

    [21] Yuhui Du*, Lirong Yan, Danny JJ Wang, and Yong Fan. Resting-state brain networks in BOLD fMRI and perfusion fMRI. The 19th Annual Meeting of the Organization for Human Brain Mapping, 2012.

    [22] Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Jing Sui, Bharat B Biswal, Zhiguo Zhang, Nina de Lacy, Vincent D Calhoun. Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism. NeuroImage, 2019. 191-204.

    [23] Zening Fu, Arvind Caprihan, Jiayu Chen, Yuhui Du, John C Adair, Jing Sui, Gary A Rosenberg, Vince D Calhoun. Altered static and dynamic functional network connectivity in Alzheimer's disease and subcortical ischemic vascular disease: shared and specific brain connectivity abnormalities. Human Brain Mapping, 2019.

    [24] Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, G. D. Pearlson, J. A. Turner, Bharat B Biswal, Zhiguo Zhang, V. D. Calhoun, Characterizing Dynamic Amplitude of Low-Frequency Fluctuation and Its Relationship with Dynamic Functional Connectivity: An Application to Schizophrenia. NeuroImage, 2017.

    [25] Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Jing Sui, Bharat B Biswal, Zhiguo Zhang, N de Lacy, VD Calhoun. Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism. NeuroImage, 2018.

    [26] Zening Fu, Yuhui Du, Vince D Calhoun. The Dynamic Functional Network Connectivity Analysis Framework. Engineering. 2018.

    [27] Di Jiang, Yuhui Du, Hewei Cheng, Tianzi Jiang, and Yong Fan, Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns. NeuroImage, 2013, 82:355-372.

    [28] Jing Sui, Godfrey D Pearlson, Yuhui Du, Qingbao Yu, Thomas R Jones, Jiayu Chen, Tianzi Jiang, Juan Bustillo, Vince D Calhoun. In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia. Biological Psychiatry, 2015, 78 (11), 794-804.

    [29] Qingbao Yu, Erik B Erhardt, Jing Sui, Yuhui Du, Hao He, Devon Hjelm, Mustafa S Cetin, Srinivas Rachakonda, Robyn L Miller, Godfrey Pearlson, Vince D Calhoun. Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia, NeuroImage, 2015, 107: 345-355.

    [30] Jiayu Chen, Vince D Calhoun, NI Perrone-Bizzozero, Godfrey D Pearlson, Jing Sui, Yuhui Du, and Jingyu Liu. A pilot study on commonality and specificity of copy number variants in schizophrenia and bipolar disorder. Translational Psychiatry-Nature, 2016, 6, e824; doi:10.1038/tp.2016.96.

    [31] Dongdong Lin, Jiayu Chen, Nora Perrone-Bizzozero, Juan R Bustillo, Yuhui Du, Vince D Calhoun, Jingyu Liu. Characterization of cross-tissue genetic-epigenetic effects and their patterns in schizophrenia. Genome medicine, 2018, 10: 13

    [32] Qingbao Yu, Yuhui Du, Jiayu Chen, Jing Sui, Tülay Adalē, Godfrey D Pearlson, Vince D Calhoun. Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs. Proceedings of the IEEE. 2018, 106(5), 886-906.

    [33] Hao He, Qingbao Yu, Yuhui Du, Victor Vergara, Teresa A Victor, Wayne C Drevets, Jonathan B Savitz, Tianzi Jiang, Jing Sui, Vince D Calhoun. Resting-state functional network connectivity in prefrontal regions differs between unmedicated patients with bipolar and major depressive disorders. Journal of affective disorders, 2016, 190: 483-493.

    [34] Shengfeng Liu, Haiying Wang, Ming Song, Luxian Lv, Yue Cui, Yong Liu, Lingzhong Fan, Nianming Zuo, Kaibin Xu, Yuhui Du, Qingbao Yu, Na Luo, Shile Qi, Jian Yang, Sangma Xie, Jian Li, Jun Chen, Yunchun Chen, Huaning Wang, Hua Guo, Ping Wan, Yongfeng Yang, Peng Li, Lin Lu, Hao Yan, Jun Yan, Huiling Wang, Hongxing Zhang, Dai Zhang, Vince D Calhoun, Tianzi Jiang, Jing Sui. Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population. Schizophrenia Bulletin, 2018.

    [35] Jing Sui, Shile Qi, Theo van Erp, Juan Bustillo, Rongtao Jiang, Dongdong Lin, Jessica Turner, Eswar Damaraju, Andy Mayer, Yue Cui, Zening Fu, Yuhui Du, Jiayu Chen, Steven Potkin, Adrian Preda, Daniel H. Mathalon, Judith Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, O'Leary Daniel S, Agnes McMahon, Tianzi Jiang, and Vince Calhoun. Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion. Nature Communications. 2018, 9(1), 3028

    [36] Eva Mennigen, Susanna L. Fryer, Barnaly RashidMr. Eswar Damaraju, Yuhui Du, Rachel L. Loewy, Barbara K. Stuart, Vince D. Calhoun, Daniel H. Mathalon, Transient patterns of functional dysconnectivity in clinical high risk and early-illness schizophrenia individuals compared to healthy controls, Brain Connectivity, 2018.

    [37] Dongren Yao, Vince D Calhoun, Zening Fu, Yuhui Du, Jing Sui. An Ensemble Learning System for a 4-Way Classification of Alzheimer’s Disease and Mild Cognitive Impairment. Journal of neuroscience methods, 2018.

    [38] Jiayu Chen, Barnaly Rashid, Qingbao Yu, Jingyu Liu, Dongdong Lin, Yuhui Du, Jing Sui, Vince D Calhoun. Variability in Resting State Network and Functional Network Connectivity Associated With Schizophrenia Genetic Risk: A Pilot Study. Frontiers in neuroscience, 2018, 12:114.

    [39] Elizabeth Osuch, Shuang Gao, Michael Wammes, Jean Theberge, Peter Williamson, Richard Neufeld, Yuhui Du, Jing Sui, Vince Calhoun. Complexity in mood disorder diagnosis: fMRI connectivity networks predicted medication-class of response in complex patients. Acta Psychiatrica Scandinavica. 2018

    [40] Qingbao Yu, Lei Wu, David A Bridwell, Erik Barry Erhardt, Yuhui Du, Hao He, Jiayu Chen, Peng Liu, Jing Sui, Godfrey Pearlson, Vince D Calhoun. Building an EEG-fMRI multi-modal brain graph: a concurrent EEG-fMRI study. Frontiers in Human Neuroscience. 2016, SCI. doi: 10.3389/fnhum.2016.00476.

    [41] Xing Meng, Rongtao Jiang, Dongdong Lin, Juan Bustillo, Thomas Jones, Jiayu Chen, Qingbao Yu, Yuhui Du, Yu Zhang, Tianzi Jiang, Jing Sui, Vince D Calhoun. Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. NeuroImage, 2017, 145, 218–229.

    [42] Dongdong Lin, Jiayu Chen, Stefan Ehrlich, Juan R Bustillo, Nora Perrone-Bizzozero, Esther Walton, Vincent P Clark, Yu-Ping Wang, Jing Sui, Yuhui Du, Beng C Ho, Charles S Schulz, Vince D Calhoun, Jingyu Liu. Cross-Tissue Exploration of Genetic and Epigenetic Effects on Brain Gray Matter in Schizophrenia, Shizophrenia Bulletin, 2018, 44, 443-452.

    [43] Hao He, Jing Sui, Yuhui Du, Qingbao Yu, Dongdong Lin, Wayne C.Drevets, Jonathan B. Savitz Jian Yang, Teresa A. Victor, Vince D. Calhoun. Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders. Brain Structure and Function, 2017, 222(9):4051-4064.

    [44] Shile Qi, Vince D. Calhoun, Theo G. M. van Erp, Juan Bustillo, Eswar Damaraju, Jessica Ann Turner, Yuhui Du, et al. Multimodal Fusion with Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. IEEE Transactions on Medical Imaging. 2017, 37(1): 93-105.

    [45] Rongtao Jiang, Christopher C Abbott, Tianzi Jiang, Yuhui Du, et al. SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets. Neuropsychopharmacology. 2018, 43(5), 1078.

    [46] Qingbao Yu, Yuhui Du, Jiayu Chen, Hao He, Jing Sui, Godfrey Pearlson, Vince D Calhoun. Comparing brain graphs in which nodes are regions of interest or independent components: a simulation study. Journal of Neuroscience Methods. 2017, 291: 61-68.

    [47] Dongmei Zhi, Vince D Calhoun, Luxian Lv, XiaoHong Ma, Qing Ke, Yongfeng Yang, Xiao Yang, Miao Pan, Shile Qi, Rongtao Jiang, Yuhui Du, Qingbao Yu and Jing Sui. Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder. Frontiers in Psychiatry | Mood and Anxiety Disorders. 2018.

    [48] Rongtao Jiang, Shile Qi, Yuhui Du, Weizheng Yan, Vince D Calhoun, Tianzi Jiang, Jing Sui. Predicting individualized intelligence quotient scores using brainnetome-atlas based functional connectivity. 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), 2017.

    [49] Mustafa Salman, Yuhui Du*, Vince Calhoun*. Identifying fMRI Dynamic Connectivity States Using Affinity Propagation Clustering Method: Application to Schizophrenia. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, 2017. 904-908

    [50] Mustafa S Salman, Yuhui Du*, Eswar Damaraju, Vince D Calhoun*. Group information guided ICA shows more sensitivity to group differences than dual-regression. IEEE International Symposium on Biomedical Imaging, 2017. 362-365.

    [51] Jiang Di, Yuhui Du, and Yong Fan. fMRI Alignment Based on Local Functional Connectivity Patterns. SPIE Medical Imaging, 831415-831415-8, 2012.

    [52] Shile Qi, Vince Calhoun, Theo G. M. van Erp, Eswar Damaraju, Juan Bustillo, Jessica Turner, Yuhui Du, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon Mueller, Aysenil Belger, Sarah McEwen, Steven G. Potkin, Adrian Preda, F BIRN, Tianzi Jiang, Jing Sui. Supervised Multimodal Fusion and Its Application in Searching Joint Neuromarkers of Working Memory Deficits in Schizophrenia. The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2016.

    [53] Hao He, Juan Bustillo, Yuhui Du, Qingbao Yu, Thomas R. Jones, Tianzi Jiang, Vince D. Calhoun, Jing Sui. Resting fMRI measures are associated with cognitive deficits in schizophrenia assessed by the MATRICS consensus cognitive battery. Proc. SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015, 94171V-94171V-8.

    [54] Jing Sui, Eduardo Castro, Hao He, David Bridwell, Yuhui Du, Godfrey D Pearlson, Tianzi Jiang, Vince D Calhoun. Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection. The 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2014, 3889-3892.