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
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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.
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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.
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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
2023
Journal Article
Editorial: new challenges and future perspectives in brain imaging methods
Yu, Dahua, Chuang, Kai-Hsiang and Sollmann, Nico (2023). Editorial: new challenges and future perspectives in brain imaging methods. Frontiers in Neuroscience, 17 1265054, 1-4. doi: 10.3389/fnins.2023.1265054
2023
Journal Article
Locating causal hubs of memory consolidation in spontaneous brain network in male mice
Li, Zengmin, Athwal, Dilsher, Lee, Hsu-Lei, Sah, Pankaj, Opazo, Patricio and Chuang, Kai-Hsiang (2023). Locating causal hubs of memory consolidation in spontaneous brain network in male mice. Nature Communications, 14 (1) 5399, 1-16. doi: 10.1038/s41467-023-41024-z
2023
Journal Article
Rodent Whole-Brain fMRI Data Preprocessing Toolbox
Xu, Nan, Zhang, Leo, Larson, Sam, Li, Zengmin, Anumba, Nmachi, Daley, Lauren, Pan, Wen-Ju, Chuang, Kai-Hsiang and Keilholz, Shella D. (2023). Rodent Whole-Brain fMRI Data Preprocessing Toolbox. Aperture Neuro, 3, 1-3. doi: 10.52294/001c.85075
2023
Journal Article
Author Correction: A consensus protocol for functional connectivity analysis in the rat brain
Grandjean, Joanes, Desrosiers-Gregoire, Gabriel, Anckaerts, Cynthia, Angeles-Valdez, Diego, Ayad, Fadi, Barrière, David A., Blockx, Ines, Bortel, Aleksandra, Broadwater, Margaret, Cardoso, Beatriz M., Célestine, Marina, Chavez-Negrete, Jorge E., Choi, Sangcheon, Christiaen, Emma, Clavijo, Perrin, Colon-Perez, Luis, Cramer, Samuel, Daniele, Tolomeo, Dempsey, Elaine, Diao, Yujian, Doelemeyer, Arno, Dopfel, David, Dvořáková, Lenka, Falfán-Melgoza, Claudia, Fernandes, Francisca F., Fowler, Caitlin F., Fuentes-Ibañez, Antonio, Garin, Clément M., Gelderman, Eveline ... Hess, Andreas (2023). Author Correction: A consensus protocol for functional connectivity analysis in the rat brain. Nature Neuroscience, 26 (6), 1127-1128. doi: 10.1038/s41593-023-01328-1
2023
Journal Article
The Queensland Twin Adolescent Brain Project, a longitudinal study of adolescent brain development
Strike, Lachlan T., Hansell, Narelle K., Chuang, Kai-Hsiang, Miller, Jessica L., de Zubicaray, Greig I., Thompson, Paul M., McMahon, Katie L. and Wright, Margaret J. (2023). The Queensland Twin Adolescent Brain Project, a longitudinal study of adolescent brain development. Scientific Data, 10 (1) 195, 195. doi: 10.1038/s41597-023-02038-w
2023
Journal Article
A consensus protocol for functional connectivity analysis in the rat brain
Grandjean, Joanes, Desrosiers-Gregoire, Gabriel, Anckaerts, Cynthia, Angeles-Valdez, Diego, Ayad, Fadi, Barrière, David A., Blockx, Ines, Bortel, Aleksandra, Broadwater, Margaret, Cardoso, Beatriz M., Célestine, Marina, Chavez-Negrete, Jorge E., Choi, Sangcheon, Christiaen, Emma, Clavijo, Perrin, Colon-Perez, Luis, Cramer, Samuel, Daniele, Tolomeo, Dempsey, Elaine, Diao, Yujian, Doelemeyer, Arno, Dopfel, David, Dvořáková, Lenka, Falfán-Melgoza, Claudia, Fernandes, Francisca F., Fowler, Caitlin F., Fuentes-Ibañez, Antonio, Garin, Clément, Gelderman, Eveline ... Hess, Andreas (2023). A consensus protocol for functional connectivity analysis in the rat brain. Nature Neuroscience, 26 (4), 673-681. doi: 10.1038/s41593-023-01286-8
2023
Journal Article
Hemodynamic transient and functional connectivity follow structural connectivity and cell type over the brain hierarchy
Chuang, Kai-Hsiang, Li, Zengmin, Huang, Helena H., Khorasani Gerdekoohi, Shabnam and Athwal, Dilsher (2023). Hemodynamic transient and functional connectivity follow structural connectivity and cell type over the brain hierarchy. Proceedings of the National Academy of Sciences, 120 (5) e2202435120, 1-10. doi: 10.1073/pnas.2202435120
2023
Conference Publication
Evaluating ultra-short echo time (UTE) cerebral blood volume (CBV)-based fMRI using an iron-oxide contrast agent in mouse visual cortex at 9.4T
Jain, Naman, Bollmann, Saskia, Polimeni, Jonathan, Chuang, Kai-Hsiang and Barth, Markus (2023). Evaluating ultra-short echo time (UTE) cerebral blood volume (CBV)-based fMRI using an iron-oxide contrast agent in mouse visual cortex at 9.4T. ISMRT 31st Annual Meeting, London, United Kingdom, 7-12 May 2022. Concord, CA USA: ISMRM. doi: 10.58530/2022/2336
2022
Journal Article
Deep learning network for integrated coil inhomogeneity correction and brain extraction of mixed MRI data
Chuang, Kai-Hsiang, Wu, Pei-Huan, Li, Zengmin, Fan, Kang-Hsing and Weng, Jun-Cheng (2022). Deep learning network for integrated coil inhomogeneity correction and brain extraction of mixed MRI data. Scientific reports, 12 (1) 8578, 1-14. doi: 10.1038/s41598-022-12587-6
2022
Journal Article
The basal forebrain volume reduction detected by MRI does not necessarily link with the cholinergic neuronal loss in the Alzheimer's Disease mouse model
Zhou, Xiaoqing Alice, Ngiam, Grace, Qian, Lei, Sankorrakul, Kornraviya, Coulson, Elizabeth J. and Chuang, Kai-Hsiang (2022). The basal forebrain volume reduction detected by MRI does not necessarily link with the cholinergic neuronal loss in the Alzheimer's Disease mouse model. Neurobiology of Aging, 117, 24-32. doi: 10.1016/j.neurobiolaging.2022.03.017
2022
Other Outputs
Queensland Twin Adolescent Brain (QTAB) non-imaging phenotypes
Strike, Lachlan, Hansell, Narelle, Chuang, Kai-Hsiang, Miller, Jessica, de Zubicaray, Greig, Thompson, Paul M, McMahon, Katie L and Wright, Margie (2022). Queensland Twin Adolescent Brain (QTAB) non-imaging phenotypes. The University of Queensland. (Dataset) doi: 10.48610/e891597
2021
Journal Article
Neurogenic-dependent changes in hippocampal circuitry underlie the pro-cognitive effect of exercise in ageing mice
Zhou, Xiaoqing Alice, Blackmore, Daniel G., Zhuo, Junjie, Nasrallah, Fatima A., To, XuanVinh, Kurniawan, Nyoman D., Carlisle, Alison, Vien, King-Year, Chuang, Kai-Hsiang, Jiang, Tianzi and Bartlett, Perry F. (2021). Neurogenic-dependent changes in hippocampal circuitry underlie the pro-cognitive effect of exercise in ageing mice. iScience, 24 (12) 103450, 103450. doi: 10.1016/j.isci.2021.103450
2021
Journal Article
Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke
Cheng, Hsiao-Ju, Ng, Kwun Kei, Qian, Xing, Ji, Fang, Lu, Zhong Kang, Teo, Wei Peng, Hong, Xin, Nasrallah, Fatima Ali, Ang, Kai Keng, Chuang, Kai-Hsiang, Guan, Cuntai, Yu, Haoyong, Chew, Effie and Zhou, Juan Helen (2021). Task-related brain functional network reconfigurations relate to motor recovery in chronic subcortical stroke. Scientific Reports, 11 (1) 8442, 8442. doi: 10.1038/s41598-021-87789-5
2021
Journal Article
Dysfunction in nonsense-mediated decay, protein homeostasis, mitochondrial function, and brain connectivity in ALS-FUS mice with cognitive deficits
Ho, Wan Yun, Agrawal, Ira, Tyan, Sheue-Houy, Sanford, Emma, Chang, Wei-Tang, Lim, Kenneth, Ong, Jolynn, Tan, Bernice Siu Yan, Moe, Aung Aung Kywe, Yu, Regina, Wong, Peiyan, Tucker-Kellogg, Greg, Koo, Edward, Chuang, Kai-Hsiang and Ling, Shuo-Chien (2021). Dysfunction in nonsense-mediated decay, protein homeostasis, mitochondrial function, and brain connectivity in ALS-FUS mice with cognitive deficits. Acta Neuropathologica Communications, 9 (1) 9, 9. doi: 10.1186/s40478-020-01111-4
2021
Journal Article
Mindfulness based cognitive therapy for youth with inflammatory bowel disease and depression - Findings from a pilot randomised controlled trial
Ewais, T., Begun, J., Kenny, M., Hay, K., Houldin, Evan, Chuang, Kai-Hisang, Tefay, M. and Kisely, S. (2021). Mindfulness based cognitive therapy for youth with inflammatory bowel disease and depression - Findings from a pilot randomised controlled trial. Journal of Psychosomatic Research, 149 110594, 110594. doi: 10.1016/j.jpsychores.2021.110594
2021
Journal Article
Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study
Hu, Mengjiao, Cheng, Hsiao-Ju, Ji, Fang, Chong, Joanna Su Xian, Lu, Zhongkang, Huang, Weimin, Ang, Kai Keng, Phua, Kok Soon, Chuang, Kai-Hsiang, Jiang, Xudong, Chew, Effie, Guan, Cuntai and Zhou, Juan Helen (2021). Brain functional changes in stroke following rehabilitation using brain-computer interface-assisted motor imagery with and without tDCS: a pilot study. Frontiers in Human Neuroscience, 15 692304, 692304. doi: 10.3389/fnhum.2021.692304
2021
Conference Publication
Functional cerebral blood volume imaging of the mouse visual cortex using vascular space occupancy
Jain, Naman, Akbari, Atena, Barth, Markus and Chuang, Kai-Hsiang (2021). Functional cerebral blood volume imaging of the mouse visual cortex using vascular space occupancy. 2021 ISMRM & SMRT Annual Meeting & Exhibition, Online, 12-20 May 2021. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine.
2021
Journal Article
Quantitative Analysis of Renal Perfusion by Arterial Spin Labeling
Chuang, Kai-Hsiang, Kober, Frank and Ku, Min-Chi (2021). Quantitative Analysis of Renal Perfusion by Arterial Spin Labeling. Methods in Molecular Biology, 2216, 655-666. doi: 10.1007/978-1-0716-0978-1_39
2021
Book Chapter
Renal blood flow using arterial spin labeling (ASL) MRI: experimental protocol and principles
Chuang, Kai-Hsiang, Meier, Martin, Fernández-Seara, María A., Kober, Frank and Ku, Min-Chi (2021). Renal blood flow using arterial spin labeling (ASL) MRI: experimental protocol and principles. Preclinical MRI of the kidney: methods and protocols. (pp. 443-453) New York, NY USA: Humana Press. doi: 10.1007/978-1-0716-0978-1_26
2020
Journal Article
Optimizing diffusion MRI acquisition efficiency of rodent brain using simultaneous multislice EPI
Lee, Hsu‐Lei, Zhou, Xiaoqing Alice, Li, Zengmin and Chuang, Kai‐Hsiang (2020). Optimizing diffusion MRI acquisition efficiency of rodent brain using simultaneous multislice EPI. NMR in Biomedicine, 34 (1) e4398, e4398. doi: 10.1002/nbm.4398
Funding
Current funding
Past funding
Supervision
Availability
- Associate Professor Kai-Hsiang Chuang is:
- Available for supervision
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Available projects
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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.
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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.
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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
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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
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Doctor Philosophy
Improving Artificial Intelligence And Deep Learning Algorithms In Super-Resolution Imaging
Associate Advisor
Other advisors: Professor Feng Liu
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Doctor Philosophy
MRI biomarker of glymphatic dysfunction in dementia
Associate Advisor
Other advisors: Professor Elizabeth Coulson
Completed supervision
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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
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2022
Doctor Philosophy
Determining large-scale brain networks involved in memory consolidation
Principal Advisor
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2023
Doctor Philosophy
Improving functional MRI through Modelling and Imaging Microvascular Dynamics
Associate Advisor
Other advisors: Dr Saskia Bollmann, Professor Markus Barth
Media
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