
Overview
Background
Dr Kai-Hsiang Chuang received his Ph.D. degree in electrical and biomedical engineering from the National Taiwan University, Taiwan, in 2001. During his graduate study, he developed methods for improving the detection of brain activity using functional magnetic resonance imaging (fMRI). He undertook postdoctoral research at the National Institutes of Health, USA, from 2003 to 2007, where he focused on understanding brain connectivity using novel functional and molecular imaging. He developed manganese-enhanced MRI for high-resolution imaging functional neural pathways in the rodent brain and cerebral blood flow imaging for mapping the resting-state network of the human brain. He joined the Agency for Science Technology and Research (A*STAR), Singapore, in 2008 as the head of MRI Group in the Singapore Bioimaging Consortium (a national research institute). He established the first preclinical imaging facility in Singapore and facilitated research collaboration across academia, clinic and industry. His lab pioneered functional connectivity imaging of the rodent brain to understand the neural basis and function of resting-state brain network, and the development and application of MRI biomarkers for treatment development. In late 2015, he moved to the University of Queensland, Australia, as an Associate Professor with the Queensland Brain Institute and the Centre for Advanced Imaging. His current research focuses on understanding the structure and function of brain network that underlies cognition and behavior, such as learning, memory and dementia. He is developing multimodal techniques, including fMRI, calcium recording, electrophysiology and optogenetic/chemogenetic neuromodulation, to test hypothesis in transgenic mouse models and then translating to humans to improve the diagnosis and intervention of disorders. The imaging and analysis techniques he developed have been widely used in the research community and some in clinical trials. He is serving on the editorial boards of Frontiers in Neuroscience: Brain Imaging Methods, Imaging Neuroscience and Scientific Reports.
Availability
- Associate Professor Kai-Hsiang Chuang is:
- Available for supervision
Fields of research
Qualifications
- Doctor of Philosophy, National Taiwan University
Research interests
-
Functional brain mapping
Develop in vivo imaging techniques, including functional MRI and multimodality integration (optogenetics, calcium imaging, electrophysiology), in humans and animal models to improve the understanding and intervention of brain function, disease process and treatment effects.
-
Brain network in learning, memory and dementia
Brain network wiring and activity underpin our cognition and behaviour. However the brain-behaviour relationship of cognitive functions, such as memory, is unclear. We are developing techniques to understand the causal relationship between brain network activity and memory formation, and how to modulate behaviour by manipulating brain network activity.
-
Brain waste clearance
The brain is a highly metabolic active organ. Maintaining optimal brain function relies on efficient disposal of metabolic wastes. We are studying a brain fluid drainage system that clear waste and toxic molecules, such as amyloid plaques, from the brain. We're developing imaging techniques to track its function and to understand its regulatory mechanism, treatment target and pathogenic role in dementia.
Works
Search Professor Kai-Hsiang Chuang’s works on UQ eSpace
2001
Journal Article
Image analysis of functional magnetic resonance imaging
Chuang, Kai-Hsiang, Huang, Kou-Mou, Yip, Ping-Keung, Chen, Jyh-Horng and Chiu, Ming-Jang (2001). Image analysis of functional magnetic resonance imaging. Biomedical Engineering - Applications, Basis and Communications, 13 (5), 248-255. doi: 10.4015/s1016237201000315
2001
Journal Article
IMPACT: Image-based physiological artifacts estimation and correction technique for functional MRI
Chuang, K.H. and Chen, J.H. (2001). IMPACT: Image-based physiological artifacts estimation and correction technique for functional MRI. Magnetic Resonance in Medicine, 46 (2), 344-353. doi: 10.1002/mrm.1197
2001
Journal Article
Independent component analysis in the detection and correction of physiological artifacts in fMRI
Chuang, Kai-Hsiang and Chen, Jyh-Horng (2001). Independent component analysis in the detection and correction of physiological artifacts in fMRI. NeuroImage, 13 (6), 94-94. doi: 10.1016/s1053-8119(01)91437-5
2001
Journal Article
Tissue segmentation-assisted analysis of fMRI for human motor response: An approach combining artificial neural network and fuzzy C means
Chiu, M.J., Lin, C.C., Chuang, K.H., Chen, J.H. and Huang, K.M. (2001). Tissue segmentation-assisted analysis of fMRI for human motor response: An approach combining artificial neural network and fuzzy C means. Journal of Digital Imaging, 14 (1), 38-47. doi: 10.1007/s10278-001-0023-y
1999
Journal Article
Model-free functional MRI analysis using Kohonen clustering neural network and fuzzy c-means
Chuang, K.H., Chiu, M.J., Lin, C.C. and Chen, J.H. (1999). Model-free functional MRI analysis using Kohonen clustering neural network and fuzzy c-means. IEEE Transactions on Medical Imaging, 18 (12), 1117-1128. doi: 10.1109/42.819322
1998
Journal Article
Response of the human motor cortex - An application of the functional MRI
Chiu, M. J., Chuang, K. H., Chen, J. H. and Huan, K. M. (1998). Response of the human motor cortex - An application of the functional MRI. Biomedical Engineering - Applications, Basis and Communications, 10 (6), 326-331.
Funding
Current funding
Past funding
Supervision
Availability
- Associate Professor Kai-Hsiang Chuang is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Available projects
-
Understanding mechanisms of glymphatic dysfunction in Alzheimer’s disease.
Glymphatic and brain network deficits have been associated with neuropathology of Alzheimer’s disease. However, the mechanism is still unclear. This project aims to test a new hypothesis that leads to accelerated amyloid and tau pathology in brain networks, such as the default mode network. The study will combine structural and functional MRI and genetic tools to test the hypothesis in animal model of AD.
-
Develop techniques for improving cognition via modulating brain network
The brain is a complex neural network that supports our cognition, such as learning and memory. We have recently identified brain network hubs that causally involved in memory formation. This project will develop new techniques to detect and selectively modulate the functional connectivity of the causal hubs in order to improve memory.
-
Develop novel imaging technique for brain waste clearance
The glymphatic system is a newly discovered waste clearance pathway that removes toxic proteins, such as amyloid plaques, from the brain. Its dysfunction is suggested to lead to Alzheimer's disease. However, there is still no non-invasive imaging technique for measuring its function. This project aims to develop novel non-invasive MRI techniques for tracking the structure and function of the glymphatic system. These techniques will be used to understand how glymphatic function maintain brain health and network function, and for the diagnosis of its impairment in aging and disorders.
Supervision history
Current supervision
-
Doctor Philosophy
Developing imaging and neuro-technologies for decoding memory formation
Principal Advisor
Other advisors: Professor Elizabeth Coulson
-
Doctor Philosophy
Understanding neural Basis of Resting-State Network Using Simultaneous Calcium Recording and Functional Magnetic Resonance Imaging
Principal Advisor
Other advisors: Professor Pankaj Sah
-
Doctor Philosophy
The Role of Basal Forebrain Cholinergic Neurons in Glymphatic Function - Insights and Neuroimaging Perspectives
Associate Advisor
Other advisors: Professor Elizabeth Coulson
-
Doctor Philosophy
MRI biomarker of glymphatic dysfunction in dementia
Associate Advisor
Other advisors: Professor Elizabeth Coulson
-
Master Philosophy
The Role of Basal Forebrain Cholinergic Neurons in Glymphatic Function - Insights and Neuroimaging Perspectives
Associate Advisor
Other advisors: Professor Elizabeth Coulson
-
Doctor Philosophy
Improving Artificial Intelligence And Deep Learning Algorithms In Super-Resolution Imaging
Associate Advisor
Other advisors: Professor Feng Liu
-
Doctor Philosophy
Improving Artificial Intelligence And Deep Learning Algorithms In Super-Resolution Imaging
Associate Advisor
Other advisors: Professor Feng Liu
Completed supervision
-
2024
Doctor Philosophy
Understanding neural Basis of Resting-State Network Using Simultaneous Calcium Recording and Functional Magnetic Resonance Imaging
Principal Advisor
Other advisors: Professor Pankaj Sah
-
2022
Doctor Philosophy
Determining large-scale brain networks involved in memory consolidation
Principal Advisor
-
2023
Doctor Philosophy
Improving functional MRI through Modelling and Imaging Microvascular Dynamics
Associate Advisor
Other advisors: Dr Saskia Bollmann, Professor Markus Barth
Media
Enquiries
For media enquiries about Associate Professor Kai-Hsiang Chuang's areas of expertise, story ideas and help finding experts, contact our Media team: