2021 - Turan Itil Career Contribution Award, EEG &Clinical Neuroscience Society
2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions in pattern recognition toward the understanding of brain organization and dysfunctions using neuroimaging
2020 - Hermann von Helmholtz Award, International Neural Network Society
2020 - IEEE Fellow For contributions to neuroimaging techniques
2019 - Fellow of the Indian National Academy of Engineering (INAE)
2019 - Fellow, American Institute of Medical and Biological Engineering (AIMBE) For outstanding contributions to understanding of brain structural and functional organization, and their dysfunctions with neuroimaging
2019 - Member of Academia Europaea
Tianzi Jiang mainly focuses on Neuroscience, Resting state fMRI, Functional magnetic resonance imaging, Brain mapping and Default mode network. Neuroscience is closely attributed to Alzheimer's disease in his study. His Resting state fMRI study combines topics from a wide range of disciplines, such as Precuneus, Thalamus, Functional imaging, Brain activity and meditation and Attention deficit hyperactivity disorder.
His research integrates issues of Psychosis, Independent component analysis, Central nervous system, Magnetic resonance imaging and Occipital lobe in his study of Functional magnetic resonance imaging. His Brain mapping research includes elements of Paralimbic cortex, Superior parietal lobule, Motor cortex and Topology. His Default mode network research integrates issues from Betweenness centrality, Centrality, Abnormality, Neurocognitive and Clustering coefficient.
The scientist’s investigation covers issues in Neuroscience, Resting state fMRI, Functional magnetic resonance imaging, Artificial intelligence and Neuroimaging. His research investigates the connection between Neuroscience and topics such as Diffusion MRI that intersect with issues in White matter. His Resting state fMRI research incorporates themes from Precuneus, Cognition, Posterior cingulate, Functional imaging and Brain activity and meditation.
His Functional magnetic resonance imaging research is multidisciplinary, incorporating elements of Schizophrenia and Human brain. His Artificial intelligence research includes themes of Machine learning, Computer vision and Pattern recognition. Many of his studies involve connections with topics such as Alzheimer's disease and Neuroimaging.
Neuroscience, Neuroimaging, Functional magnetic resonance imaging, Schizophrenia and Resting state fMRI are his primary areas of study. Prefrontal cortex, Functional connectivity, Functional networks, Working memory and Cortex are among the areas of Neuroscience where the researcher is concentrating his efforts. Tianzi Jiang has included themes like Connectome, Tractography, Magnetic resonance imaging, Disease and Artificial intelligence in his Neuroimaging study.
Tianzi Jiang combines subjects such as Brain function and Elementary cognitive task with his study of Functional magnetic resonance imaging. His Schizophrenia research includes elements of White matter, Fractional anisotropy, Audiology, Dorsolateral prefrontal cortex and Brain mapping. His Resting state fMRI study incorporates themes from Biomarker and Default mode network.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Regional homogeneity approach to fMRI data analysis
Yufeng Zang;Tianzi Jiang;Yingli Lu;Yong He.
Disrupted small-world networks in schizophrenia.
Yong Liu;Meng Liang;Yuan Zhou;Yong He.
The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture
Lingzhong Fan;Hai Li;Junjie Zhuo;Yu Zhang.
Cerebral Cortex (2016)
Changes in hippocampal connectivity in the early stages of Alzheimer's disease: evidence from resting state fMRI.
Liang Wang;Yufeng Zang;Yong He;Meng Liang.
Altered functional connectivity in early Alzheimer's disease: A resting‐state fMRI study
Kun Wang;Meng Liang;Liang Wang;Lixia Tian.
Human Brain Mapping (2007)
Brain anatomical network and intelligence.
Y Li;Y Liu;J Li;W Qin.
PLOS Computational Biology (2009)
HMDD v2.0: a database for experimentally supported human microRNA and disease associations
Yang Li;Chengxiang Qiu;Jian Tu;Bin Geng.
Nucleic Acids Research (2014)
Regional coherence changes in the early stages of Alzheimer’s disease: A combined structural and resting-state functional MRI study
Yong He;Liang Wang;Yufeng Zang;Yufeng Zang;Lixia Tian.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010
Tianzi Jiang;Nassir Navab;Josien P. W. Pluim;Max A. Viergever.
Lecture Notes in Computer Science (2010)
Widespread functional disconnectivity in schizophrenia with resting-state functional magnetic resonance imaging.
Meng Liang;Yuan Zhou;Tianzi Jiang;Zhening Liu.
Profile was last updated on December 6th, 2021.
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