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Professor Tianzi Jiang - Neuroimaging and Brainnetome
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Professor Tianzi Jiang was appointed as Professor of Neuroimaging at the University of Queensland in an appointment shared between 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 and Chinese Director of the Sino-French Laboratory for Computer Science, Automation and Applied Mathematics (LIAMA), Institute Automation, Chinese Academy of Sciences. He received his PhD degree in computational mathematics from Zhejiang University in1994. After he graduated, he worked as a postdoctoral research fellow (1994-1996) and Associate Professor (1996-1999), and full professor (1999-present) at his current institution in China. 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 150 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, Academic Editor of PLoS One, Series Editor of Computational Imaging and Vision. 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 network topological structure (connectome), performance, dynamics, manifestation of functions and malfunctions of brain on different scales, and genetic basis of brain networks. Our laboratory here will closely collaborate with researchers of LIAMA Center for Computational Medicine in Beijing and its Branch at the University of Electronic Science and Technology in Chengdu, to study basic theory, methodologies and algorithms, platform of 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 Richard 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.
Ming Song, Hanjian Du, Nan Wu, Bing Hou, Guocai Wu, Jian Wang, Hua Feng*, Tianzi Jiang*, Impaired Resting-State Functional Integrations within Default Mode Network of Generalized Tonic-Clonic Seizures Epilepsy, PLoS One, vol. 6, no. 2, 2011, e17294.
Yong Fan*, Yong Liu, Hong Wu, Yihui Hao, Haihong Liu, Zhening Liu*, Tianzi Jiang*, Discriminant analysis of functional connectivity patterns on Grassmann manifold, vol.56, no.4, 2011, 2058-2067.
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, vol. 6, no. 11, 2010, 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, vol.30, no.1, 2010, 64-69.
Bing Liu, Jun Li, Chunshui Yu, Yonghui Li, Yong Liu, Ming Song, Ming Fan, Kuncheng Li, Tianzi Jiang*, Haplotypes of Catechol-O-Methyltransferase Modulate Intelligence-related Brain White Matter Integrity, NeuroImage, vol. 50, no.1, 2010, 243-249.
Yonghui Li, Yong Liu, Jun Li, Wen Qin, Kuncheng Li, Chunshui Yu, Tianzi Jiang*, Brain Anatomical Network and Intelligence, PLoS Computational Biology, vol.5, no.5, 2009, e1000395.
Kun Wang, Chunshui Yu, Lijuan Xu, Wen Qin, Kuncheng Li, Lin Xu, Tianzi Jiang*, Offline Memory Reprocessing: Involvement of the Brain’s Default Network in Spontaneous Thought Processes, PLoS One, vol.4, no.3, 2009, e4867.
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, vol. 29, no. 7, 2009, 2205-2211.
Lijuan Xu, Zhu-Yuan Liang, Kun Wang, Shu Li*, Tianzi Jiang*, Neural Mechanism of Intertemporal Choice: From Discounting Future Gains to Future Losses, Brain Research, vol.1261, 2009, 65-74.
Ming Song, Yuan Zhou, Jun Li, Yong Liu, Lixia Tian, Chunshui Yu*, Tianzi Jiang*, Brain Spontaneous Functional Connectivity and Intelligence, NeuroImage, vol. 41, no. 3, 2008, 1168-1176.
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, vol. 131, no. 4, 2008, 945-61.
Yuan Zhou, Ni Shu, Yong Liu, Ming Song, Yihui Hao, Haihong Liu, Chunshui Yu, Zhening Liu*, Tianzi Jiang*, Altered Resting-state Functional Connectivity and Anatomical Connectivity of Hippocampus in Schizophrenia, Schizophrenia Research, vol. 100, no.1-3, 2008, 120-132.
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, vol.18, no.3, 2008, 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, vol.130, 2007, 2085-2096.
Kun Wang, Meng Liang, Liang Wang, Lixia Tian, Xinqing Zhang, Kuncheng Li*, and Tianzi Jiang*, Altered Functional Connectivity in Early Alzheimer’s Disease: a Resting-state fMRI Study, Human Brain Mapping, vol.28, no.10, 2007, 967-78.
Gaolang Gong, Tianzi Jiang*, Chaozhe Zhu, Yufeng Zang, Fei Wang, Sheng Xie, Jiangxi Xiao, and Xuemei Guo, Asymmetry Analysis of Cingulum Based on Scale-Invariant Parameterization by Diffusion Tensor, Human Brain Mapping, vol. 24, no. 2, 2005, 92-98.
Yufeng Zang, Tianzi Jiang*, Yingli Lu, Yong He and Lixia Tian, Regional Honogeneity Based Approach to fMRI Data Analysis, NeuroImage, vol. 22, no. 1, 2004, 394-400.
Tianzi Jiang*, Yong He, Yufeng Zang, and Xuchu Weng, Modulation of Functional Connectivity During the Rest State and the Task State, Human Brain Mapping, vol. 22, no.1, 2004, 63-71.
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