郭水霞，女，博士，教授，博士生导师。
教育背景：
1993.09-1997.06湖南师范大学 数学教育专业 本科
1997.09-2000.06湖南师范大学 概率统计专业 硕士
2006.09-2009.12湖南师范大学 概率统计专业 博士
工作经历：
2000.07-2002.07湖南师范大学 讲师
2002.07-2007.07湖南师范大学 副教授
2007.07-2012.07湖南师范大学 教授
2008.02-2008.03英国Warwick大学 访问****
2013.10-2014.10英国Warwick大学 访问****
教学育人：
讲授课程：概率论、数理统计、回归分析、多远统计分析、生存分析、计量经济学、测度论、统计学习基础
科学研究
研究方向：医学影像大数据的分析与应用，基于医学影像数据的精神疾病预测研究
主持课题：
教育部新世纪优秀人才培养计划，NCET-13-0786，2013
国家自然科学基金面上项目，基于神经影像脑连接组大数据的脑疾病研究，**，2021-2024
国家自然科学基金面上项目：基于多尺度多模态脑影像数据的融合研究，**，2017-2020
国家自然科学基金面上项目：新型统计计算方法在医学影像数据分析中的应用，**，2013-2016
国家自然科学基金青年基金：基于生物数据的基因网络和生物神经网络的结构研究，**，2010-2012
湖南省****基金：精神分裂症脑影像数据的多尺度综合分析，2015JJ1010，2015-2017
湖南省高校重点实验室：应用统计与数据科学，2020-2022
湖南省高校创新平台开放基金项目：生物数据分析的新型数学计算方法的研究，11K038，2011-2013
湖南省教育厅一般项目：数字信号处理中非可加噪声情形下的最优滤波，09C636，2009-2010
湖南师范大学青年优秀人才培养计划，Granger因果关系的理论及其在系统生物学中的应用，2010-2012
近期发表的代表性论文：
1. Chen YY, Linli ZQ, Lei Y, Yang Y, Liu Z, Xia Y, Liang Y, Zhu H, Guo SX*. (2021) Risk Factors for Mortality in Critically Ill Patients with COVID-19 in Huanggang, China: A Single-Centre Multivariate Pattern Analysis. Journal of Medical Virology. 93: 2046-2055.
2. Linli ZQ, Chen YY, Tian GL, Guo SX*, Fei Y. (2020) Identifying and Quantifying Risk Factor for Mortality in Critically Ill Patients with COVID-19 by Using Quantile Regression and Logistic Regression, American Journal of Emergency Medicine, https://doi.org/10.1016/j.ajem.2020.08.090.
3. Zhao W, Guo SX*, Linli ZQ, Yang AC, Lin CP, Tsai SJ. (2020) Functional, Anatomical, and Morphological Networks Highlight the Role of Basal Ganglia–Thalamus–Cortex Circuits in Schizophrenia, Schizophrenia Bulletins, 46 (2), 422-431.
4. Guo SX, He NN, Liu ZN, Linli ZQ, Tao HJ，Palaniyappan L. (2020) Brain-wide Functional Dysconnectivity in Schizophrenia: Parsing diathesis, resilience and the effects of clinical expression，Canadian journal of psychiatry-revue canadienne de psychiatrie, 65 (1), 21-29.
5. Sariah A, Guo SX, Zuo J, Pu WD, Liu HH, Rolls ET, et al. (2020) Acute and chronic effects of betel quid chewing on brain functional connectivity, Frontiers in Psychiatry, 11:198.
6. Linli ZQ, Huang XJ, Liu ZN, Guo SX*. (2020) Sariah A, A multivariate pattern analysis of resting-state functional MRI data in Na?ve and chronic betel quid chewers, Brain imaging and Behavior, https://doi.org/10.1007/s11682-020-00322-6.
7. He NN, Rolls ET, Zhao W, Guo SX*. (2020) Predicting human cognitive inhibition from brain structural MRI, Brain imaging and Behavior，14:2148–2158.
8. Guo SX, Zhao W, Tao HJ, Liu ZN, Palaniyappan L. (2018) The instability of functional connectivity in patients with schizophrenia and their siblings: a dynamic connectivity study. Schizophrenia Research, 195(5): 183-189.
9. Zhao W, Guo SX*, He NN, Yang AC, Lin CP, Tsai SJ. (2018) Callosal and subcortical white matter alterations in schizophrenia: a diffusion tensor imaging study at multiple levels，Neuroimage: clinical, 20:694-602.
10. Guo SX, Palaniyappan L, Liddle FP, Feng JF. (2016) Dynamic Cerebral Reorganisation in the Pathophysiology of Schizophrenia: A MRI derived Cortical Thickness Study. Psychological Medicine, 46(10)：2201-2214.
11. Guo SX, Iwabuchi S, Balain V, Feng JF, Liddle FP, Palaniyappan L. (2015) Cortical folding and the potential for prognostic neuroimaging in schizophrenia, The British Journal of Psychiatry, 1–2. doi: 10.1192/bjp.bp.114.155796.
12. Guo SX, Kendrick KM, Yu RJ, Feng JF (2014) Key functional circuitry altered in schizophrenia involves parietal regions associated with sense of self, Human Brain Mapping. 35:123-139.
13. Guo SX, Palaniyappan L, Yang B, Liu ZN, Xue ZM, Feng JF. (2014) Anatomical distance affects functional connectivity in patients with schizophrenia and their siblings, Schizophrenia Bulletins, 40 (2): 449-459.
14. Pu WD, Rolls E, Guo SX, Liu HH, Yu Y, Xue ZM, Feng JF, Liu ZN. (2014) Altered functional connectivity links in neuroleptic-na?ve and neuroleptic-treated patients with schizophrenia, and their relation to symptoms including volition, Neuroimage: Clinical, (2014) 6: 463-474.
15. Cao LL, Guo SX, Xue ZM, Hu Y etc. (2014) Aberrant functional connectivity for diagnosis of Major Depressive Disorder: A discriminant analysis, Psychiatry and Clinical Neurosciences, (68)2:110-119.
16. Guo SX, Yu Y, Zhang J, Feng JF (2013) A reversal coarse-grained analysis with application to an altered functional circuit in depression, Brain and Behavior, (2013) (3) 6: 637-648.
17. Guo SX, Kendrick KM, Zhang J, Broome M, Yu RJ, Liu ZN, Feng JF (2013) Brain-wide functional inter-hemispheric disconnection is a potential biomarker for schizophrenia and distinguishes it from depression, Neuroimage: Clinical, (2):818-826.
18. Tao HJ*, Guo SX*, Ge T, Xue ZM, Liu ZN, Feng JF (2013) Depression Uncouples Brain Hate Circuit, Molecular Psychiatry, 18:101-111.
19. Guo SX, Ladroue C, Feng JF (2010) Granger Causality: Theory and Applications, computational biology, 15:83-111.
20. Zou CL, Ladroue C, Guo SX, Feng JF. (2010) Identifying interactions in the time and frequency domains in local and global networks - A Granger Causality Approach, BMC Bioinformatics, 11:337.
21. Ladroue C*, Guo SX*, Kendrick K, Feng J (2009) Beyond Element-Wise Interactions: Identifying Complex Interactions in Biological Processes. PLoS ONE 4(9): e6899.
22. Guo SX, A. Seth, K. Kendrick, Feng JF. (2008) Partial Granger causality: eliminating exogenous inputs and latent variables, J. Neurosci. Methods, 172:79-93.
23. Guo SX, Wu J.H., Ding MZ, Feng JF. (2008) Uncovering interactions in frequency domains, PLoS Comput Biol 4(5): e**.
所获荣誉及学术兼职：
湖南省芙蓉********、“统计学”湖南省国内一流学科带头人、“统计学”国家一流本科专业负责人、湖南师范大学“统计学”一级学科博士点负责人、“应用统计与数据科学”湖南省高校重点实验室负责人、“统计学及其应用”湖南省研究生优秀教学团队负责人、教育部公派英国华威大学访问****、湖南省****基金获得者。入选“教育部新世纪优秀人才培养计划”、湖南省“新世纪121工程人员”、“湖南省普通高校学科带头人”培养计划、“湖南省普通高校青年骨干教师”培养对象等人才项目，获湖南师范大学“十佳青年教工”荣誉称号。
联系方式：guoshuixia75@163.com



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