Neuroimaging and Brainnetome Laboratory focuses on genetically engineering mice brainnetome with neuroimaging, especially 9.4T and 16.4T MRI scanners, and other techniques. It is a collaboration platform between Institute of Automation of the Chinese Academy of Sciences (CASIA) in Beijing and Queensland Brain Institute, University of Queensland, Australia. It closely collaborates with Brainnetome Center at CASIA in Beijing and its branch at the University of Electronic Science and Technology in Chengdu, to study basic theory, methodologies and algorithms, platform of the Brainnetome at multiple scales, and their applications in neurological and psychiatric diseases.
Faculty
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Name: Tianzi Jiang, Professor, Lab director Email: jiangtz@nlpr.ia.ac.cn Research Interests: Brain Mapping, Brainnetome |
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Name: Yuanchao Zhang, Associate Professor Email: yuanchao.zhang8@gmail.com Research Interests: Structure MRI Based Brain and Network Analyses |
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Name: Jiaojian Wang, Lecturer Email: jiaojianwang@gmail.com Research Interests: Human and non-Human Primates Brain Atlas and Evolution, Brain Network, Cognitive Neuroimaging |
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Students
| 2010 PhD Students | |||
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Name: Xiaojing Fang Email: xiaojing.fang.ccm@gmail.com Research Interests: Functional Connectivity and Application |
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Name: Yan Wu Email: yan.wu.2012@gmail.com Research Interests: Sex-Specific Neural Circuits of Emotion Regulation |
| 2011 PhD Students | |||
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Name: Jiaojian Wang Email: jiaojianwang@gmail.com Research Interests: Brain Mapping, Atlas Dissertation Title: Mapping the Human Lateral Parietal and Temporal Cortex Based on Different Connectivity Patterns |
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Name: Huawang Wu Email: huawangwu@126.com Research Interests: Structural MRI Research in Schizophrenia |
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Name: Yaqin Zhang Email: yaqin.zhang.ccm@gmail.com Research Interests: Brain Atlas Dissertation Title: Parietal atlas and Its Application |
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| 2012 PhD Students | |||
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Name: Chao Wang Email: chao.wang.ccm@gmail.com Research Interests: Imaging Genomics Dissertation Title: The Regulation Mechanism of The Dopamine Pathway Related Genes on The Brain Networks |
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Name: JunjieZhuo Email: junjie.zhuo.ccm@gmail.com Research Interests: Brain Atlas |
| 2013 PhD Students | |||
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Name: Yuejun Li Email: yuejun.li.ccm@gmail.com Research Interests: Brain Network, Epilepsy, MEG |
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| 2014 PhD Students | |||
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Name: Lijie Wang Email: ljwang@uestc.edu.cn Research Interests: Functional MRI, Depression, Bipolar Disorder, Schizophrenia |
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Name: Yongfeng Yang Email: yongfeng_200888@126.com Research Interests: TMS, Depression, Schizophrenia, Bipolar Disorder |
| 2015 PhD Students | |||
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Name: Yini He Email: heyini1989@163.com Research Interests: Neuroimaging, Depression |
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| 2009 Master Students | |||
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Name: Wenqing Wan Email: 625041593@qq.com Research Interests: Brain Atlas Master Thesis Title: Connectivity-Based Parcellation of Superior Parietal Cortex |
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| 2010 Master Students | |||
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Name: Guangying Jiang Email: yezi_xue@126.com Research Interests: Functional MRI, Diffusion MRI, Parkison Disorder Master Thesis Title: Functional and Structural MRI Based Study of Subthalamusnucleus in Parkinson Disease |
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Name: Zhijun Wang Email: gin0101@126.com Research Interests: Brain Network Master Thesis Title: Brain Network Group Algorithm and Software Platform Base on Image |
| 2011 Master Students | |||
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Name: WentingXu Email: bmjklove@126.com Research Interests: fNIRS Master Thesis Title: Brain Blood-Oxygen Detection BasedOn Near-Infrared Spectroscopy |
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Name: JinpingXu Email: jinpinxu@gmail.com Research Interests: Brain Atlas Master Thesis Title: Tractography-BasedParcellationand Subregional Connectivity of The Human Middle Temporal Gyrus |
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Name:Wen Zhang Email: zhangtianer@126.com Research Interests:Brain Atlas Master Thesis Title: Connectivity-Based Parcellation of The Human Fusiform Gyrus |
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Name:Liqing Shang Email: shanglq888@163.com Research Interests:Structural MRI and Network Master Thesis Title: Structural MRI Based Study of Brain Network |
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Name:Changhai Li Email: lichanghai2529@yahoo.com.cn Research Interests:fNIRS Master Thesis Title:Multiple Weak Signal Parallel Acquistion Technology in fNIRS |
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| 2012 Master Students | |||
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Name: Yan Yin Email: yan.yin.ccm@gmail.com Research Interests: Brain Atlas Master Thesis Title: Connectivity_Based Parcellation of The Human Brodmann Area 32 |
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Name: Xiuxiu Lv Email: xiuxiu.lv.ccm@gmail.com Research Interests: Brain Atlas Master Thesis Title: Connectivity-Based Parcellation of The Human Right Brodmann Area 46 |
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Name: Jian Yu Email: jian.yu.ccm@gmail.com Research Interests: fNIRS Master Thesis Title: Multi-Channel Brain Blood Oxygen Detecting System |
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Name: Ruirui Zhao Email: ruirui.zhao.ccm@gmail.com Research Interests: fNIRS Master Thesis Title: Integration and Portable Detection System of Cerebral Oxygenation and Performance Test |
| 2013 Master Students | |||
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Name: Xiu Wu Email: xiu.wu.ccm@gmail.com Research Interests: Structure MRI, Depression |
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Name: Wenwei Bi Email: wenwei.bi.ccm@gmail.com Research Interests: Pattern Recognition, Schizophrenia |
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Name: Luqi Cheng Email: luqi.cheng.ccm@gmail.com Research Interests: Neuroimaging and Brain Atlas |
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Name: Mengze Wang Email: mengze.wang.ccm@gmail.com Research Interests: Brain Atlas |
| 2014 Master Students | |||
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Name: Yuling Zhang Email: yuling.zhang.ccm@gmail.com Research Interests: Structure MRI, Depression |
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Name: Mengzhu Wang Email: mengzhu.wang.ccm@gmail.com Research Interests: Diffusion MRI, Depression, Bipolar Disorder, Schizophrenia |
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Name: Long Cao Email: long.cao.ccm@gmail.com Research Interests: Diffusion MRI, Obssive-Complusive Disorder |
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Name: Dingchen Zheng Email: dingchen.zheng.ccm@gmail.com Research Interests: Structure MRI, Depression, Bipolar Disorder, Schizophrenia |
| 2015 Master Students | |||
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Name: Xuehu Wei Email: wxhsgtyf@126.com Research Interests: Functional MRI Analyses |
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Name: Menglin Rong Email: rongmenglin23@sina.com Research Interests: Functional MRI Analyses |
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Name: Jinfeng Zhang Email: zhangjinfeng1019@163.com Research Interests: Structure MRI Analyses |
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Research
We explore the mechanisms of brain disorders by studying genetically engineering mice brainnetome with neuroimaging, especially 9.4T and 16.4T MRI scanners, and other techniques. Convergent evidence has shown that brain functions can manifest on brain networks on different scales and brain malfunctions caused with most psychiatric disorders are faulty brain networks. In order to understand how the brain works and the pathophysiological mechanism of psychiatric disorders, it is necessary to integrate the multi-level network features obtained with various functional and anatomical brain imaging technologies on different scales. We have proposed a new concept of “Brainnetome” (www.brainnetome.org) to represent such integration framework. We define the essential components of brainnetome as identification of brain networks. (connectome), dynamics and characteristics of brain networks, network manifestation of functions and malfunctions of the brain, genetic basis of brain networks, and simulating and modeling for the Brainnetome. It envisions that Brainnetome will become an emerging co-frontier of brain imaging, information technology, neurology and psychiatry. Some long-standing issues in neuropsychiatry may be solved by combining Brainnetome with genome.
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