Associate Professor Kai-Hsiang Chuang

Principal Research Fellow - GL

Queensland Brain Institute
k.chuang@uq.edu.au
+61 7 344 33811

Overview

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, NeuroImage and Scientific Reports.

Research Interests

  • 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.
  • 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.

Qualifications

  • Doctor of Philosophy, National Taiwan University

Publications

  • 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. doi: 10.1038/s41593-023-01328-1

  • 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. doi: 10.1038/s41597-023-02038-w

  • 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

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Grants

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Supervision

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Available Projects

  • 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.

  • 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.

  • 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.

View all Available Projects

Publications

Book Chapter

  • 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

  • Prashant, Chandrasekharan, Dipak, Maity, Yang, Chang-Tong, Chuang, Kai-Hsiang, Jun, Ding and Feng, Si-Shen (2014). Superparamagnetic iron oxide—loaded poly(lactic acid)-D-_-tocopherol polyethylene glycol 1000 succinate copolymer nanoparticles as MRI contrast agent. Chemotherapeutic engineering: collected papers of Si-Shen Feng a tribute to Shu Chien on his 82nd birthday. (pp. 863-885) edited by Si-Shen Feng, Stanford Chong and Jenny Rompas. Boca Raton, FL, United States: Pan Stanford Publishing. doi: 10.1201/b15645-53

  • Chandrasekharan, Prashant, Maity, Dipak, Yong, Cai, Chuang, Kai-Hsiang, Ding, Jun and Feng, Si-Shen (2014). Vitamin E (D-Alpha-Tocopheryl-co-Poly (Ethylene Glycol) 1000 Succinate) Micelles-Superparamagnetic Iron Oxide Nanoparticles for Enhanced Thermotherapy and MRI. Chemotherapeutic engineering: collected papers of Si-Shen Feng a tribute to Shu Chien on his 82nd birthday. (pp. 841-861) edited by Feng Si-shen, Stanford Chong and Jenny Rompas. Boca Raton, FL, United States: Pan Stanford Publishing. doi: 10.1201/b15645-52

  • Lu, J., Bhakoo, K., Chuang, K.-H., Radda, G. K., Kuchel, P. W. and Han, W. (2013). Imaging in Metabolic Medicine. Imaging in Cellular and Tissue Engineering. (pp. 191-211) edited by Yu, H. and Rahim, N. A. A.. Boca Raton: CRC Press (Taylor and Francis). doi: 10.1201/b14868

  • Chuang, Kai-Hsiang and Nasrallah, Fatima A. (2012). Functional MRI of neural plasticity and drug effect in the brain. Advances in bio-imaging: from physics to signal understanding issues. (pp. 17-25) edited by Nicolas Loménie, Daniel Racoceanu and Alexandre Gouaillard. Berlin, Germany: Springer-Verlag Berlin Heidelberg. doi: 10.1007/978-3-642-25547-2_2

Journal Article

Conference Publication

  • Hu, Mengjiao, Ji, Fang, Lu, Zhongkang, Huang, Weimin, Khosrowabadi, Reza, Zhao, Ling, Ang, Kai Keng, Phua, Kok Soon, Nasrallah, Fatima Ali, Chuang, Kai-Hsiang, Stephenson, Mary C, Totman, John, Jiang, Xudong, Chew, Effie, Guan, Cuntai and Zhou, Juan (2018). Differential amplitude of low-frequency fluctuations in brain networks after BCI training with and without tDCS in stroke. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, United States, 18-21 July 2018. Piscataway, NJ, United States: IEEE. doi: 10.1109/EMBC.2018.8512395

  • Lu, Zhongkang, Phua, Kok Soon, Huang, Weimin, Hong, Xin, Nasrallah, Fatima Ali, Chuang, Kai-Hsiang and Guan, Cuntai (2015). Combining EPI and motion correction for fMRI human brain images with big motion. 3Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, 25-29 August 2015. Piscataway, NJ, United States: IEEE. doi: 10.1109/EMBC.2015.7319624

  • Attia, Amalina Binte Ebrahim, Ho, Chris Jun Hui, Chandrasekharan, Prashant, Balasundaram, Ghayathri, Chuang, Kai-Hsiang and Olivo, Malini (2015). Molecular photoacoustic imaging of orthotopic glioblastoma. Optical Molecular Probes, Imaging and Drug Delivery 2015, Vancouver, Canada, 12–15 April 2015. Washington, D.C.: OSA. doi: 10.1364/omp.2015.ow3d.3

  • Srour, Hussein, Sung, Suz-Chieh, Sharma, Vijay K., Teoh, Hock Luen, Seet, Raymond C. S., Chen, Christopher L. H., Wong, Peter T. H., Chan, Bernard P. L. and Chuang, Kai-Hsiang (2013). ASL and DSC MRI for the evaluation of intracranial large artery stenosis. Annual Conference of the Asia Pacific Stroke Organization (APSO), Hong Kong, 30 August –1 September 2013. Basel, Switzerland: S. Karger. doi: 10.1159/000353795

  • Hartono, S., Thng, C. H., Ng, Q. S., Yong, C. X., Yang, C. -T., Shi, W., Chuang, K. H. and Koh, T. S. (2011). High Temporal Resolution Dynamic Contrast-Enhanced MRI at 7 Tesla: A Feasibility Study with Mouse Liver Model. 33rd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS), Boston, MA, United States, 30 August-3 September 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/IEMBS.2011.6090763

  • Prashant, Chandrasekharan, Dipak, Maity, Xian, Yong Cai, Kai-Hsiang, Chuang, Jun, Ding and Shen, Feng Si (2011). Superparamagnetic iron oxides formulated in polylactide-co-glycolide/ D-alpha-tocopherol polyethylene glycol 1000 succinate (PLGA/TPGS) nanoparticles for high contrast MRI. 2011 1st Middle East Conference on Biomedical Engineering, Sharjah, United Arab Emirates, 21-24 February 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/mecbme.2011.5752145

  • Hu, Tom C.-C., Kai-Hsiang Chuang,, Yanasak, Nathan and Koretsky, Alan P. (2007). Improved cardiac manganese-enhanced MRI (MEMRI) with T1 mapping in rodent. 2007 IEEE 33rd Annual Northeast Bioengineering Conference, Long Island, NY, United States, 10-11 March 2007. IEEE. doi: 10.1109/nebc.2007.4413285

  • Wang, Shumin , Chuang, Kai-Hsiang and Talagala, Lalith (2007). RF power duty cycle restrictions of continuous arterial spin labeling coil for 7.0 tesla perfusion magnetic resonance imaging. 2007 IEEE Antennas and Propagation Society International Symposium, Honolulu, HI, United States, 9-15 June 2007. Piscataway, NJ, United States: IEEE. doi: 10.1109/aps.2007.4396498

Other Outputs

  • 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

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

    Other advisors:

Completed Supervision

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • 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.

  • 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.

  • 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.