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Socio-Economic Objective : Scientific instrumentation
Field of Research : Central Nervous System
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  • Funded Activity

    Discovery Projects - Grant ID: DP0559410

    Funder
    Australian Research Council
    Funding Amount
    $102,000.00
    Summary
    Comparison of Techniques for the Removal of Ocular Artefact from the Electroencephalogram: A Validation Study. Although employed extensively for both research and clinical purposes, the utility of the electroencephalograph (EEG) is hampered by the contaminating effects of eye movements on these 'brain waves'. If it can be validated, the recent Australian development of a solution to this problem will mean that the EEG can be measured more quickly and accurately. This purpose of this research is .... Comparison of Techniques for the Removal of Ocular Artefact from the Electroencephalogram: A Validation Study. Although employed extensively for both research and clinical purposes, the utility of the electroencephalograph (EEG) is hampered by the contaminating effects of eye movements on these 'brain waves'. If it can be validated, the recent Australian development of a solution to this problem will mean that the EEG can be measured more quickly and accurately. This purpose of this research is to perform this validation, and its success would mean both more efficient EEG recording for the country, as well as an enhanced scientific reputation.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775747

    Funder
    Australian Research Council
    Funding Amount
    $160,000.00
    Summary
    Distributed Medical Image Analysis and Visualisation Engine (MedVis). Improved understanding of neurological processes is crucial to improving clinical outcomes for patients. MedVis will contribute in three ways: support development of new methods of interpretation and analysis of complex neurological studies, allowing current methods to be applied more efficiently, and enabling distributed simulations and visualisations in real-time from remote sites. The leading-edge, grid-based, software and .... Distributed Medical Image Analysis and Visualisation Engine (MedVis). Improved understanding of neurological processes is crucial to improving clinical outcomes for patients. MedVis will contribute in three ways: support development of new methods of interpretation and analysis of complex neurological studies, allowing current methods to be applied more efficiently, and enabling distributed simulations and visualisations in real-time from remote sites. The leading-edge, grid-based, software and computational techniques developed for the project will enable visualization, analysis and modelling of massive volumes of image and other visualisation data. This capability is important in medical research where large visualisation data volumes are being created and studied by experts remote from each other.
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    Funded Activity

    Linkage - International - Grant ID: LX0776009

    Funder
    Australian Research Council
    Funding Amount
    $28,000.00
    Summary
    Understanding how the brain uses sensory information to guide reaching and grasping movements. Reaching, grasping and manipulating objects are crucial aspects of our daily lives, which are performed so effortlessly that they tend to be taken for granted. We know however that these functions take a relatively long time to mature (think of a baby learning how to get an object), and that they can be impaired by brain lesions involving a region called the posterior parietal cortex. We also know that .... Understanding how the brain uses sensory information to guide reaching and grasping movements. Reaching, grasping and manipulating objects are crucial aspects of our daily lives, which are performed so effortlessly that they tend to be taken for granted. We know however that these functions take a relatively long time to mature (think of a baby learning how to get an object), and that they can be impaired by brain lesions involving a region called the posterior parietal cortex. We also know that this region has multiple subdivisions, but how exactly these interact in allowing the sensory information to guide arm and hand muscles is unknown. Discovering how this happens in terms of cellular interaction can have profound implications for the creation of new technologies such as artificial limbs and autonomous robots, and result in health benefits.
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