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Research Topic : disorders
Status : Active
Field of Research : Psychology
Australian State/Territory : VIC
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP200103509

    Funder
    Australian Research Council
    Funding Amount
    $509,561.00
    Summary
    A comprehensive framework for modelling the human connectome. The human brain is an extraordinarily complex network of interconnected cells. This project aims to use mathematical modelling and brain imaging to uncover key principles of network wiring in the human brain. Using an interdisciplinary approach that combines elements of neuroscience, genetics, physics, and psychology, the project will result in a new, rigorous framework for testing competing theories of brain development, the identifi .... A comprehensive framework for modelling the human connectome. The human brain is an extraordinarily complex network of interconnected cells. This project aims to use mathematical modelling and brain imaging to uncover key principles of network wiring in the human brain. Using an interdisciplinary approach that combines elements of neuroscience, genetics, physics, and psychology, the project will result in a new, rigorous framework for testing competing theories of brain development, the identification of key wiring principles for developing brains, and an understanding of how these principles shape behaviour. This work will shed new light on the developmental processes that underlie human behaviour and disease.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP170100494

    Funder
    Australian Research Council
    Funding Amount
    $673,460.00
    Summary
    Integrative brain imaging technologies. This project aims to develop quantitative metabolic imaging using simultaneous magnetic resonance imaging (MRI) and positron emission tomography (PET). The current generation of MR-PET scanners are capable of simultaneously acquiring MRI and PET data to enable quantitative anatomical, physiological and metabolic imaging. The project aims to develop new MRI methods for quantitative anatomical mapping, MR-based motion correction of dynamic PET scan data, and .... Integrative brain imaging technologies. This project aims to develop quantitative metabolic imaging using simultaneous magnetic resonance imaging (MRI) and positron emission tomography (PET). The current generation of MR-PET scanners are capable of simultaneously acquiring MRI and PET data to enable quantitative anatomical, physiological and metabolic imaging. The project aims to develop new MRI methods for quantitative anatomical mapping, MR-based motion correction of dynamic PET scan data, and joint estimation of physiological and metabolic organ activity. These advances will create innovative imaging technologies for advanced biomedical imaging research with a particular emphasis in healthy ageing.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT200100942

    Funder
    Australian Research Council
    Funding Amount
    $750,183.00
    Summary
    Modelling and manipulating brain network dynamics across the lifespan. This project aims to integrate advanced computational modelling and state-of-the-art recording techniques to generate new knowledge on the neural basis of ageing. People are said to grow wiser as they grow older, though more likely they will experience cognitive slowing and reduced memory functions that interfere with their daily lives. The anticipated goal of the project is to develop techniques to predict the personalised e .... Modelling and manipulating brain network dynamics across the lifespan. This project aims to integrate advanced computational modelling and state-of-the-art recording techniques to generate new knowledge on the neural basis of ageing. People are said to grow wiser as they grow older, though more likely they will experience cognitive slowing and reduced memory functions that interfere with their daily lives. The anticipated goal of the project is to develop techniques to predict the personalised effects of brain stimulation on the ageing brain. The outcomes of this research could significantly improve understanding of brain ageing, and advance the fields of systems neuroscience, network science, and brain stimulation.
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