姚志军

政治面貌:中共党员

职    称:教授、博士生导师

职    务:兰州大学信息科学与工程学院类脑研究中心主任

所在系所:计算机应用技术研究所

邮    箱:yaozj@lzu.edu.cn

办公地址:飞云楼523

学习经历

(1)1995.09-1999.06 兰州大学电子与信息科学系 电信专业 理学学士

(2)1999.09-2002.06 兰州大学电子与信息科学系 通信工程专业 工学硕士

(3)2006.09-2011.12 兰州大学电子与信息科学系 信号处理专业 理学博士

工作经历

(1)2002.05-2005-05 兰州大学信息科学与工程学院 助教

(2)2005.05-2012.05 兰州大学信息科学与工程学院 讲师

(3)2012.05-2017.05 兰州大学信息科学与工程学院 副教授

(4)2017.05-至今 兰州大学信息科学与工程学院 教授

教学情况

主讲本科生课程:数字电路与逻辑设计,电路与电子技术基础

指导研究生情况

2012年至2021年间,指导博士研究生7人,毕业3人,在读4人;指导硕士研究生34人,毕业22人,在读12人。

研究方向

生物医学影像数据处理、普适情感计算、计算机应用技术、人工智能、机器学习。

招生专业

计算机软件与理论,计算机应用技术

项目成果

主持参与完成的项目:

  1. 甘肃省自然科学基金1项(项目号20JR5RA292,基于多模态磁共振成像的癌症伴随型抑郁特征量化研究,11-2022.11,在研,主持)
  2. 国家“973”计划子课题1项(项目号2014CB744601-1,基于脑电-fMRI,语音,行为等数据研究,探索与抑郁症风险高度相关的新生物、心理信息特征,01-2018.12,已结题,主持)
  3. 国家“973”计划1项(项目号2014CB744600,基于多模态生物、心理信息的潜在抑郁风险普适化预警建模,01-2018.12,已结题,参加)
  4. 参与中央军委科技创新项目2项(项目号:17-163-17-XZ-004-001-01、17-163-17-XJ-006-005-01)
  5. “中央高校基本科研业务费专项资金”自由探索面上项目1项(lzujbky-2011-61,轻度认知障碍群体脑结构网络的研究,01-2012.12,已结题,主持)

发表论文及专著

代表性SCI论文如下:

[1] Zhao Z, Zhang Y, Chen N, Li Y, Guo H, Guo M, Yao Z*, Hu B*. Altered temporal reachability highlights the role of sensory perception systems in major depressive disorder[J]. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 2021: 110426.

[2] Liu G, Li S, Chen N, Zhao Z, Guo M, Liu H, Feng J, Zhang D*, Yao Z*, Hu B*. Inter-hemispheric Functional Connections Are More Vulnerable to Attack Than Structural Connection in Patients With Irritable Bowel Syndrome[J]. Journal of neurogastroenterology and motility, 2021, 27(3): 426.

[3] Fu Y, Zhang J, Li Y, Shi J, Zou Y, Guo H, Li Y, Yao Z*, Wang Y*, Hu B*. A novel pipeline leveraging surface-based features of small subcortical structures to classify individuals with autism spectrum disorder [J]. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 2021, 104: 109989.

[4] An N, Fu Y, Shi J, Guo H, Yang Z, Li Y, Li S, Wang Y, Yao Z*, Hu B* & Alzheimer’s Disease Neuroimaging Initiative. Synergistic Effects of APOE and CLU May Increase the Risk of Alzheimer’s Disease: Acceleration of Atrophy in the Volumes and Shapes of the Hippocampus and Amygdala [J]. 2021: 1311–1327.

[5] Chen N, Shi J, Li Y, Ji S, Zou Y, Yang L, Yao Z*, Hu B*. Decreased Dynamism of Overlapping Brain Sub-networks in Major Depressive Disorder [J]. Journal of psychiatric research, 2021.133: 197-204.

[6] Chen N, Liu G, Guo M, Li Y, Yao Z*, Hu B*. Calcarine as a bridge between brain function and structure in Irritable Bowel Syndrome: a multiplex network analysis [J]. Journal of Gastroenterology and Hepatology, 2020. (Early View)

[7] Zhang Y, Wang Y, Chen N, Guo M, Wang X, Chen G, Li Y, Yang L, Li S, Yao Z*, Hu B*. Age-Associated Differences of Modules and Hubs in Brain Functional Networks [J]. Frontiers in aging neuroscience, 2021, 12: 511.

[8] Guo M, Wang T, Zhang Z, Chen N, Li Y, Wang Y, Yao Z*,Hu B*. Diagnosis of major depressive disorder using whole-brain effective connectivity networks derived from resting-state functional MRI [J]. Journal of Neural Engineering, 2020, 17(5): 056038.

[9] Guo M, Li Y, Zheng W, Huang K, Zhou L, Hu X*, Yao Z*, Hu B*. A novel conversion prediction method of MCI to AD based on longitudinal dynamic morphological features using ADNI structural MRIs [J]. Journal of Neurology, 2020. 267(10): 2983-2997.

[10] Teng L, Li Y, Zhao Y, Hu T, Zhang Z, Yao Z*, Hu B*. Predicting MCI progression with FDG-PET and cognitive scores: a longitudinal study [J]. BMC neurology, 2020, 20(1): 1-10.

[11] Zheng W, Woo C W, Yao Z, Goldstein P, Atlas L Y, Roy M, Schmidt L, Krishnan A, Jepma M, Hu B*, WagerT D*. Pain-Evoked Reorganization in Functional Brain Networks [J]. Cerebral Cortex, 2020, 30(5): 2804-2822.

[12] Yao Z, Fu Y, Wu J, Zhang W, Yu Y, Zhang Z, Wu X*, Wang Y*, Hu B*. Morphological changes in subregions of hippocampus and amygdala in major depressive disorder patients [J]. Brain imaging and behavior, 2020, 14(3): 653-667.

[13] Yao Z, Zou Y, Zheng W, Zhang Z, Li Y, Yu Y, Zhang Z, Fu Y, Shi J, Zhang W, Wu X*, Hu B*. Structural alterations of the brain preceded functional alterations in major depressive disorder patients: Evidence from multimodal connectivity [J]. Journal of affective disorders, 2019, 253: 107-117.

[14] Yao Z, Shi J, Zhang Z, Zheng W, Hu T, Li Y, Yu Y, Zhang Z, Fu Y, Zou Y, Zhang W, Wu X*, Hu B*. Altered dynamic functional connectivity in weakly-connected state in major depressive disorder [J]. Clinical Neurophysiology, 2019, 130(11): 2096-2104.

[15] Yao Z, Fang L, Yu Y, Zhang Z, Zheng W, Li Z, Li Y, Zhao Y, Hu T, Zhang Z, Hu B*. Gender-disease interaction on brain cerebral metabolism in cancer patients with depressive symptoms [J]. BMC psychiatry, 2019, 19(1): 1-8.

[16] Zhang Z, Liu G, Yao Z, Zheng W, Xie Y, Hu T, Zhao Y, Yu Y, Zou Y, Shi J, Yang J, Wang T*, Zhang J*, Hu B*. Changes in dynamics within and between resting-state subnetworks in juvenile myoclonic epilepsy occur at multiple frequency bands [J]. Frontiers in neurology, 2018, 9: 448.

[17] Yao Z, Liao M, Hu T, Zhang Z, Zhao Y, Zheng F, Gutknecht J, Majoe D, Hu B*, Li L*. An effective method to identify adolescent generalized anxiety disorder by temporal features of dynamic functional connectivity [J]. Frontiers in human neuroscience, 2017, 11: 492.

[18] Zhang Z, Liao M, Yao Z, Hu B, Xie Y, Zheng W, Hu T, Zhao Y, Yang F, Zhang Y, Su L, Li L*, Gutknecht J, Majoe D. Frequency-specific functional connectivity density as an effective biomarker for adolescent generalized anxiety disorder [J]. Frontiers in human neuroscience, 2017, 11: 549.

[19] Yao Z, Hu B*, Xie Y, Zheng F, Liu G, Chen X, Zheng W. Resting-state time-varying analysis reveals aberrant variations of functional connectivity in autism [J]. Frontiers in human neuroscience, 2016, 10: 463.

[20] Fang L, Yao Z, An J, Chen X, Xie Y, Zhao H, Mao J, Liang W, Ma X*. Topological organization of metabolic brain networks in pre-chemotherapy cancer with depression: a resting-state PET study [J]. PloS one, 2016, 11(11): e0166049.

[21] Zheng W, Yao Z, Hu B*, Gao X, Cai H, Moore P. Novel cortical thickness pattern for accurate detection of Alzheimer’s disease [J]. Journal of Alzheimer’s Disease, 2015, 48(4): 995-1008.

[22] Yao Z, Zhang Y, Lin L, Zhou Y, Xu C, Jiang T*.Abnormal cortical networks in mild cognitive impairment and Alzheimer’s disease[J]. PLoS Computational Biology, 2010, 6(11): e1001006.

社会工作

《Neuroscience letter》、《IEEE Transactions on Affective Computing》、《Electronic letter》、《PLoS One》、《IEEE Transactions on Network Science and Engineering》《Journal of Medical and Biological Engineering》等期刊的审稿人。

其他信息

在脑认知领域,研究组利用统计分析、图论分析、机器学习及数据挖掘等方法对生理、心理障碍患者的脑影像数据进行计算、统计、分析,研究精神和认知障碍状态下大脑结构、功能网络的异常及遗传因素在精神疾病中的作用。在人工智能领域、计算机辅助诊断、疾病预测等方面开展研究。先后在Progress in Neuro-Psychopharmacology and Biological Psychiatry 、PLoS Computational Biology、Journal of Neural Engineering、Journal of psychiatric research、PLoS One、Cerebral Cortex、Frontiers in Human Neuroscience、Frontiers in Neurology、Frontiers in aging neuroscience 、JournalofAlzheimers Disease、Journalof Affective Disorder、BrainImagingand Behavior、Clinical neurophysiology、Journal of neurology等SCI期刊上发表论文 40 余篇。