Professor Tianzi Jiang was appointed as Professor of Neuroimaging at The University of Queensland in an appointment shared between the Queensland Brain Institute (QBI) and the Centre for Advanced Imaging (CAI) in 2011. He also works in Beijing, where he is Professor of Brain Imaging and Cognitive Disorders, the Director of the Brainnetome Center, the Institute of Automation of the Chinese Academy of Sciences (CASIA), and the core member of CAS Center for Excellence in Brain Science. He received his BSc degree from Lanzhou University in 1984, and MSc and PhD degrees from Zhejiang University in 1992 and 1994. After he graduated, he worked as a postdoctoral research fellow (1994-1996) and Associate Professor (1996-1999), and full professor (1999-present) at CASIA. During that time, he worked as a Vice-Chancellor's postdoctoral fellow at the University of New South Wales, a visiting scientist at Max Planck Institute for Human Cognitive and Brain Sciences, a research fellow at the Queen’s University of Belfast, and a visiting professor at University of Houston. His research interests include neuroimaging, brainnetome, imaging genetics, and their clinical applications in brain disorders and development. He is the author or co-author of over 200 reviewed journal papers in these fields and the co-editor of six issues of the Lecture Notes in Computer Sciences. Professor Jiang is Associate Editor of IEEE Transactions on Medical Imaging and IEEE Transactions on Autonomous Mental Development, and Neuroscience Bulletin. He is also on editorial boards of several international journals. He served and is serving as the Chairs and Program Committee members of a number of international conferences, including General Chair of MICCAI’2010. He was awarded the National Distinguished Youth Foundations by Chinese Government (2004), the Natural Science Award of China (2004), and the Natural Science Award of the Chinese Academy of Sciences (1996).
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. Our laboratory here closely collaborates with researchers of Brainnetome Center 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. 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.
- Professor Hua Feng at Southwest Hospital in Chongqing on epilepsy
- Professor Jianping Jia at Xuanwu Hospital in Beijing on Alzheimer’s disease
- Professor Tao Jiang at Tiantan Hospital in Beijing on glioma and cognitive disorders
- Professor Shu Li at Institute of Psychology of the CAS on decision-making
- Professor David Reutens at CAI on neuroimaging and epilepsy
- Professor Linda Richards at QBI on brainnetome of transgenic mice
- Professor Chunshui Yu at Tianjing General Hospital on brainnetome of neuropsychiatric diseases
- Professor Dai Zhang at Mental Health Institute of Peking University on GWAS and brainnetome of schizophrenia
Please refer to www.brainnetome.org for more information.
Bing Hou, Dan Zhang, Shan Zhao, Mengping Wei, ZaifuYang, Shaoxia Wang, Jiarui Wang, Xin Zhang, Bing Liu, Lingzhong Fan, Yang Li, Zilong Qiu, ChenZhang4 and Tianzi Jiang*, Scalable and DiI-compatible optical clearance of the mammalian brain, Frontiers in Neuroanatomy, 2015. 9:19, doi: 10.3389/fnana.2015.00019
Xianfeng Yang, Yonghui Li, David Reutens, Tianzi Jiang*, Diffeomorphic metric landmark mapping using stationary velocity field parameterization. International Journal of Computer Vision, 2015, doi: 10.1007/s11263-015-0802-4
Xiaolong Zhang, Jin-Tai Yu, Jin Li, Chao Wang, Lan Tan, Bing Liu* and Tianzi Jiang*, Bridging Integrator 1 (BIN1) Genotype Effects on Working Memory, Hippocampal Volume and Functional Connectivity in Young Healthy Individuals, Neuropsychopharmacology, 2015, doi: 10.1038/npp.2015.30
Jiaojian Wang, Lingzhong Fan, Yinyan Wang, Wenting Xu, Tao Jiang, Peter T. Fox, Simon B. Eickhoff, Chunshui Yu and Tianzi Jiang*, Determination of the posterior boundary of Wernicke's area based on multimodal connectivity profiles. Human Brain Mapping, 2015, doi: 10.1002/hbm.22745
Jiaojian Wang, Yong Yang, Lingzhong Fan, Jinping Xu, Changhai Li, Yong Liu, Peter T. Fox, Simon B. Eickhoff, Chunshui Yu and Tianzi Jiang*, Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches. Human Brain Mapping, 2015, 36(1): 238-257.
Yaqin Zhang, Lingzhong Fan, Yu Zhang, Jiaojian Wang, Maohu Zhu, Yuanchao Zhang, Chunshui Yu and Tianzi Jiang*, Connectivity-Based Parcellation of the Human Posteromedial Cortex, Cerebral Cortex, 2014, 24(3): 719-727.
Yong Liu, Yu Chunshui, Xinqing Zhang, Jieqiong Liu, Yunyun Duan, Aaron F. Alexander-Bloch, Bing Liu, Tianzi Jiang*, Ed Bullmore, Impaired Long Distance Functional Connectivity and Weighted Network Architecture in Alzheimer’s Disease, Cerebral Cortex, 2014, 24(6): 1422-1435.
Chao Wang, Yuanchao Zhang, Bing Liu, Haixia Long, Chunshui Yu, and Tianzi Jiang*, Dosage effects of BDNF Val66Met polymorphism on cortical surface area and functional connectivity. Journal of Neuroscience, 2014, 34(7): 2645-2651.
Yonghui Li, Bing Liu, Bing Hou, Wen Qin, Dawei Wang, Chunshui Yu*, Tianzi Jiang*, Less Efficient Information Transfer in Cys-Allele Carriers of DISC1: A Brain Network Study Based on Diffusion MRI, Cerebral Cortex, 2013, 23(7): 1715-1723.
Jiajia Li, Yong Liu, Wen Qin, Jiefeng Jiang , Zhaoxiong Qiu, Jiacheng Xu, Chunshui Yu*, Tianzi Jiang*, Onset age of blindness affects the anatomical network constructed by diffusion tensor tractography, Cerebral Cortex, 2013, 23(3):242-251.
Jiaojian Wang, Lingzhong Fan, Yu Zhang, Yong Liu, Di Jiang, Yuanchao Zhang, Chunshui Yu*, Tianzi Jiang*, Tractography-based parcellation of the human left inferior parietal lobule, Neuroimage, 2012, 63(2): 641-52.
Qifeng Wang, Tung-Ping Su,Yuan Zhou, Kun-Hsien Chou, I-Yun Chen, Tianzi Jiang*, Ching-Po Lin*, Anatomical Insights into Disrupted Small-world Networks in Schizophrenia, NeuroImage, 2012, 59(2):1085-1093.
Zhijun Yao, Yuanchao Zhang, Lei Lin, Yuan Zhou, Cunlu Xu, Tianzi Jiang*, Abnormal Cortical Networks in Mild Cognitive Impairment and Alzheimer's Disease, PLoS Computational Biology, 2010, 6(11): e1001006.
Bing Liu, Ming Song, Jun Li, Yong Liu, Kuncheng Li, Chunshui Yu*, Tianzi Jiang*, Prefrontal-related Functional Connectivities within the Default Network are Modulated by COMT Val158Met in Healthy Young Adults, Journal of Neuroscience, 2010, 30(1):64-69.
Yonghui Li, Yong Liu, Jun Li, Wen Qin, Kuncheng Li, Chunshui Yu, Tianzi Jiang*, Brain Anatomical Network and Intelligence, PLoS Computational Biology, 2009, 5(5):e1000395.
Jiefeng Jiang, Wanlin Zhu, Feng Shi, Yong Liu, Jun Li, Wen Qin, Kuncheng Li, Chunshui Yu* and Tianzi Jiang*, Thick Visual Cortex in the Early Blind, Journal of Neuroscience, 2009, 29(7):2205-2211.
Yong Liu, Meng Liang, Yuan Zhou, Yong He, Yihui Hao, Ming Song, Chunshui Yu, Haihong Liu, Zhening Liu, Tianzi Jiang*, Disrupted Small-world Networks in Schizophrenia, Brain, 2008,131(4): 945-961.
Kun Wang, Tianzi Jiang*, Chunshui Yu, Lixia Tian, Jun Li, Yong Liu, Yuan Zhou, Lijuan Xu, Ming Song, and Kuncheng Li, Spontaneous Activity Associated with Primary Visual Cortex: a Resting State fMRI Study, Cerebral Cortex, 2008, 18(3):697-704.
Yong Liu, Chunshui Yu, Meng Liang, Jun Li, Lixia Tian, Yuan Zhou, Wen Qin, Kuncheng Li, and Tianzi Jiang*, Whole Brain Functional Connectivity in the Early Blind, Brain, 2007, 130:2085-2096.