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Associate Professor Kai-Hsiang Chuang
Associate Professor

Kai-Hsiang Chuang

Email: 
Phone: 
+61 7 344 33811

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

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

126 works between 1998 and 2025

121 - 126 of 126 works

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

Image analysis of functional magnetic resonance imaging

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

IMPACT: Image-based physiological artifacts estimation and correction technique for functional MRI

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

Independent component analysis in the detection and correction of physiological artifacts in fMRI

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

Tissue segmentation-assisted analysis of fMRI for human motor response: An approach combining artificial neural network and fuzzy C means

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

Model-free functional MRI analysis using Kohonen clustering neural network and fuzzy c-means

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.

Response of the human motor cortex - An application of the functional MRI

Funding

Current funding

  • 2024 - 2028
    Decoding the brain network of memory formation
    ARC Discovery Projects
    Open grant

Past funding

  • 2019
    Dissolution DNP Hyperpolariser
    UQ Research Facilities Infrastructure Grants
    Open grant
  • 2019 - 2021
    Mechanisms and consequences of cholinergic neuron degeneration in sleep apnea
    NHMRC Project Grant
    Open grant
  • 2018
    A specialised surgical and behavioural facility for longitudinal, multimodal examination of the rodent brain
    UQ Major Equipment and Infrastructure
    Open grant
  • 2018 - 2019
    Reduced cerebral blood flow in Alzheimer's disease and cholinergic neuron dysfunction
    The Mason Foundation National Medical Program
    Open grant
  • 2017 - 2024
    ARC Training Centre for Innovation in Biomedical Imaging Technology
    ARC Industrial Transformation Training Centres
    Open grant
  • 2017 - 2020
    A randomised-control validation trial of Mindfulness-based cognitive therapy (MBCT): an eight week mindfulness program for youth living with Inflammatory Bowel Disease and co-morbid depression
    Mater Medical Research Institute Limited
    Open grant
  • 2017 - 2018
    Understanding functional and metabolic brain connectivity in mice
    Universities Australia - Germany Joint Research Co-operation Scheme
    Open grant
  • 2016 - 2023
    Improving human fMRI through modeling and imaging microvascular dynamics (NHMRC component of an NHMRC-NIH BRAIN Initiative Collaborative Research Grant)
    NHMRC-NIH BRAIN Initiative Collaborative Research Grants
    Open grant

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

Media

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