薛绍伟 硕士生导师

E-mail: xuedrm@126.com

个人简介

博士毕业后在杭师大临床医学院(附属医院)脑中心从事教学科研工作，担任硕士生导师。主持省部级项目1项和市厅级项目3项，参与完成国家自然科学基金面上项目4项和省部级项目2项。共发表学术论文50篇左右，其中以第一/通讯作者发表SCI论文25篇，引用400次左右。担任Nature Mental Health等30+国际期刊审稿人和4本SCI杂志学术编辑。

招生方向

(1) 杭师大附属医院(临床医学院)

(2) 杭师大经亨颐教育学院

教书育人

本人具有临床认知神经科学+计算机科学交叉背景，科研兴趣广，与学生亦师亦友，善于激发学生潜力，用心呵护着每一位学生的梦想。近年来，陆续获得杭师大优秀党员(2022)、杭师大附属医院优秀党员(2022)、附属医院学术创新奖(2021)、学院年度考核奖(2021)、学院教师课外育人考核优秀(2020)。目前指导12名在读研究生，指导的研究生多次获得浙江省优秀毕业生(2人)和国家奖学金(2人)、杭师大恒逸邱建林星光奖/精进杯一等奖、杭师大优秀硕士学位论文、杭师大研究生创新成果奖等。已毕业研究生相继赴北京大学(2人)、浙大、中国科学院心理研究所和欧洲名校读博深造，在国内外有很好的指导学生口碑。

指导的研究生读博深造：

孙云开：浙江大学医学院博士生

赵磊： 中国科学院心理研究所博士生

蓝志辉：北京大学医学部博士生，获得国家奖学金、浙江省优秀毕业生

肖杨： 北京大学医学部博士生，获得国家奖学金、浙江省优秀毕业生

蒯长啸：荷兰University of Groningen博士生，杭师大优秀毕业生

承担课程：

磁共振成像数据分析(研究生)

临床认知神经科学及应用(研究生)

心理学基础(本科生)

大学生心理健康教育(本科生)

研究方向

主要致力于精神健康、磁共振、基因与人工智能技术交叉研究，解析精神障碍的异质性和脑网络机制，涉及临床维度亚型、辅助个体化诊断、预警预测及其多维度磁共振标志物的发现。

研究主要关注抑郁症、ADHD和孤独症人群

主持项目

(1)情绪网络机器学习技术在抑郁症识别和疗效预测中的应用研究(2022KY1055), 浙江省医药卫生科技计划-临床研究应用项目

(2)抑郁症患者下丘脑活动模式的异常:功能磁共振研究(LY17H180007), 浙江省自然科学基金

参与项目

(1)个体形态学脑网络:方法学建立与评价及其生物学意义和临床价值初探(81671764), 国自然面上项目

(2)GABA和谷氨酸盐与脑活动的关系之多模态影像学研究(31471072), 国家自然科学基金面上项目

(3)人类腹侧枕颞皮质模块化和分布式加工的磁共振成像研究(31371134), 国家自然科学基金项目

(4)以空间为参照的抑制性注意表征的认知神经机制研究(31371133), 国家自然科学基金面上项目

发表论文(*为通讯作者，#为并列第一作者)

(25) Lin Jia (研究生), Xiao Y, Yao C, Sun L, Wang P, Deng Y, Pu J, Xue Shao-Wei*. Linking inter-subject variability of cerebellar functional connectome to clinical symptoms in major in major depressive disorder. Journal of Psychiatric Research, 2024, 171:9-16

(24) Wang Peng (研究生), Bai Y，Xiao Y, Zheng Y, Sun L,Wang J, Xue Shao-Wei*. Aberrant network topological structure of the sensorimotor superficial white-matter system in major depressive disorder. Journal of Zhejiang University SCIENCE B, 2024

(23) Xiao Yang(研究生), Zhao L, Zang X, Xue Shao-Wei*. Compressed primary-to-transmodal gradient is accompanied with subcortical alterations and linked to neurotransmitters and cellular signatures in major depressive disorder. Human Brain Mapping, 2023, 44(17):5919-5935

(22) Xiao Yang(研究生), Wang DL*, Tan ZL, Luo H,Wang Y, Pan C, Lan Z, Kuai C, Xue Shao-Wei*. Charting the dorsal-medial functional gradient of the default mode network in major depressive disorder. Journal of Psychiatric Research, 2022, 153:1-10

(21) Lan ZH#(研究生), Zhang W#, Wang DL*, Tan ZL, Wang Y, Pan C ,Xiao Y, Kuai C, Xue Shao-Wei*. Decreased modular segregation of the frontal-parietal network in major depressive disorder. Frontiers in Psychiatry, 2022, 13:929812

(20) Xue Shao-Wei, Kuai CX(研究生)*, Xiao Y, Zhao L,Lan Z. Abnormal dynamic functional connectivity of the left rostral hippocampus in predicting antidepressant efficacy in major depressive disorder. Psychiatry Investigation, 2022;19(7):562-569

(19) Zhao Lei(研究生), Wang DL*, Xue Shao-Wei*, Tan ZL, Luo H,Wang Y, Li H,Pan C,Fu S,Hu X,Lan Z,Yang X,Kuai C. Antidepressant treatment induced state-dependent reconfiguration of emotion regulation networks in major depressive disorder. Frontiers in Psychiatry, 2022,12:771147

(18) Zhao Lei(研究生), Xue Shao-Wei*, Sun YK, Lan Z, Zhang Z, Xue Y, Wang X, Jin Y. Altered dynamic functional connectivity of insular subregions could predict symptom severity of male patients with autism spectrum disorder. Journal of Affective Disorders, 2022,299:504-512

(17) Zhao Lei(研究生), Sun YK, Xue Shao-Wei*, Luo Hong, Lu Xiao-Dong, Zhang LH*. Identifying boys with autism spectrum disorder based on whole-brain resting-state interregional functional connections using a boruta-based support vector machine approach. Frontiers in Neuroinformatics, 2022,16:761942

(16) Zhao Lei(研究生), Wang DL*, Xue Shao-Wei*, Tan ZL, Wang Y, Lan Z. Aberrant state-related dynamic amplitude of low-frequency fluctuations of the emotion network in major depressive disorder. Journal of Psychiatric Research, 2021, 133:23-31

(15) Xiao Yang(研究生), Zhao L,Wang DL*, Xue Shao-Wei*, Tan ZL, Lan Z, Kuai C, Wang Y, Li H, Pan C, Fu S, Hu X. Effective connectivity of right amygdala subregions predicts symptom improvement following 12-week pharmacological therapy in major depressive disorder. Frontiers in Neuroscience, 2021, 15:742102

(14) Sun YK(研究生), Lan Z, Xue Shao-Wei*,Zhao L,Yang X,Kuai C,Lin Q, Bao K. Brain state-dependent dynamic functional connectivity patterns in attention-deficit/hyperactivity disorder. Journal of Psychiatric Research, 2021, 138:569-575

(13) Lan ZH(研究生), Sun Y, Zhao L, Xiao Y, Kuai C, Xue Shao-Wei*. Aberrant effective connectivity of the ventral putamen in boys with attention-deficit/hyperactivity disorder. Psychiatry Investigation, 2021, 18(8):763-769

(12) Sun YK(研究生), Zhao Lei, Lan Z, Jia Xi-Ze, Xue Shao-Wei*. Differentiating boys with ADHD from those with typical development based on whole-brain functional connections using a machine learning approach. Neuropsychiatric Disease and Treatment, 2020, 16:691-702

(11) Xue Shao-Wei#, Wu HB#, Zhang LH, Zhang DX*. Intranasal oxytocin increases perceptual salience of faces in the absence of awareness. Psychiatry Investigation, 2020, 17(4):292-298

(10) Xue Shao-Wei, Wang DL, Tan ZL, Wang Y, Lian Z, Sun Y, Hu X, Wang X, Zhou X. Disrupted brain entropy and functional connectivity patterns of thalamic subregions in major depressive disorder. Neuropsychiatric Disease and Treatment, 2019, 15: 2629–2638

(9) Xue Shao-Wei, Yu Q, Guo YH, Song D, Wang Z. Resting-state brain entropy in schizophrenia. Comprehensive Psychiatry, 2019, 89:16-21

(8) Lee TW, Xue Shao-Wei. Does emotion regulation engage the same neural circuit as working memory? A meta-analytical comparison between cognitive reappraisal of negative emotion and 2-back working memory task. PLOS ONE, 2018, 13(9): e0203753

(7) Lee TW#, Xue Shao-Wei#.Functional connectivity maps based on hippocampal and thalamic dynamics may account for the default-mode network. European Journal of Neuroscience, 2018, 47(5): 388–398

(6) Xue Shao-Wei. Lee TW, Guo Y. Spontaneous activity in medial orbitofrontal cortex correlates with trait anxiety in healthy male adults. Journal of Zhejiang University SCIENCE B, 2018, 19(8): 643-653

(5) Lee TW, Xue Shao-Wei. Revisiting the functional and structural connectivity of large-scale cortical networks. Brain Connectivity, 2018, 8(3):129-138

(4) Xue Shao-Wei#, Guo YH#, Peng W#, Zhang J, Chang D, Zang YF, Wang Ze. Increased low-frequency resting state brain activity by high-frequency repetitive TMS on the left dorsolateral prefrontal cortex. Frontiers in Psychology, 2017, 8:02266

(3) Lee TW, Xue Shao-Wei. Linking graph features of anatomical architecture to regional brain activity: a multi-modal MRI study. Neuroscience Letters, 2017, 651:123-127

(2) Xue Shao-Wei, Li D, Weng XC, Northoff G, Li DW, Different neural manifestations of two slow frequency bands in resting functional magnetic resonance imaging: a systemic survey at regional, interregional, and network levels. Brain Connectivity. 2014, 4(4):242-255

(1) Xue Shao-Wei, Weng XC, He S, Li DW. Similarity representation of pattern-information fMRI. Chinese Science Bulletin, 2013, 58(11):1236-1242

30+ SCI学术期刊审稿人

Nature Mental Health                                               Translational Psychiatry          

Biological Psychiatry: CNNI                                    Journal of Psychiatric Research    

Depression and Anxiety                                            Behavioral and Brain Functions

Social Cognitive and Affective Neuroscience          Journal of Zhejiang University-SCIENCE B

Brain Structure and Function                                    Neural Plasticity等