Centre For Research Excellence In Speech And Language Neurobiology (CRE-SLANG)
Funder
National Health and Medical Research Council
Funding Amount
$2,491,340.00
Summary
Half a million Australian children have a speech/language disorder, tripling their changes of poor academic outcomes, limited employment options and social isolation. Current speech therapy is limited, focusing on symptoms and ignoring evidence on underlying aetiologies. By identifying and translating findings on new genes and brain pathways leading to speech and language disorders, we will transform detection, diagnosis, prognosis and genetic counselling of affected children and their families.
Neurodevelopment During Adolescence: A Longitudinal Imaging Study
Funder
National Health and Medical Research Council
Funding Amount
$1,706,589.00
Summary
Adolescence is a risk period for the emergence of psychiatric disorders. It is also a time of rapid change in the brain, but few studies have detailed changes in neurodevelopment during this sensitive period. We will study twins from early adolescence and use brain imaging to investigate changing brain patterns as the brain matures, and thereby, gain insight into factors responsible for increasing our risk or resilience for major mental health conditions and optimal points for intervention.
A Prospective Study Of Language Impairment And Recovery Following Surgery For Brain Tumours
Funder
National Health and Medical Research Council
Funding Amount
$861,342.00
Summary
This multi-site project will investigate the incidence and nature of post-operative language difficulties (aphasia) in patients following surgery for left hemisphere primary brain tumours. It will provide comprehensive data concerning risk factors for post-surgical aphasia in Australian patients, in addition to important information about the brain lesions responsible for its various clinical presentations. This information will be used to generate recommendations for clinical practice.
Spontaneous activity and neural decoding in the developing brain. This project aims to investigate how patterns of neural activity emerge in the developing brain, using the zebrafish as a model system. This project expects to generate new knowledge regarding the functional significance of spontaneously generated activity, and how it interacts with sensory experience. The expected outcomes of this project include enhanced capacity at the interface between neuroscience and computation. This should ....Spontaneous activity and neural decoding in the developing brain. This project aims to investigate how patterns of neural activity emerge in the developing brain, using the zebrafish as a model system. This project expects to generate new knowledge regarding the functional significance of spontaneously generated activity, and how it interacts with sensory experience. The expected outcomes of this project include enhanced capacity at the interface between neuroscience and computation. This should provide significant benefits including greater insight into normal brain development, and the formulation of new concepts potentially relevant for brain-inspired computing.Read moreRead less
How does environmental enrichment affect brain development? This project aims to use brain imaging and advanced computational analyses to investigate how early sensory experience affects brain development. It adopts the larval zebrafish as a model system, since they display sophisticated behaviours from an early age, and neural activity can be recorded at whole-brain scale with single neuron resolution. The project aims to generate new knowledge regarding environmental effects on brain developme ....How does environmental enrichment affect brain development? This project aims to use brain imaging and advanced computational analyses to investigate how early sensory experience affects brain development. It adopts the larval zebrafish as a model system, since they display sophisticated behaviours from an early age, and neural activity can be recorded at whole-brain scale with single neuron resolution. The project aims to generate new knowledge regarding environmental effects on brain development and behaviour. This will provide significant benefits including greater insight into normal brain development, and the formulation of new concepts potentially relevant for brain-inspired computing. The expected outcomes also include enhanced capacity at the interface between neuroscience and computation.Read moreRead less
How do patterns of brain activity emerge during early life? This project uses theory and experiment to investigate how neural coding emerges in the developing brain. It adopts the larval zebrafish as a model system, because neural activity can be recorded at whole-brain scale but with single neuron resolution. The project expects to generate new knowledge regarding how neural activity comes to represent sensory stimuli, and new statistical models for interpreting large-scale patterns of neural a ....How do patterns of brain activity emerge during early life? This project uses theory and experiment to investigate how neural coding emerges in the developing brain. It adopts the larval zebrafish as a model system, because neural activity can be recorded at whole-brain scale but with single neuron resolution. The project expects to generate new knowledge regarding how neural activity comes to represent sensory stimuli, and new statistical models for interpreting large-scale patterns of neural activity. This will provide significant benefits including greater insight into normal brain development, and the formulation of new concepts potentially relevant for brain-inspired computing. The expected outcomes also include enhanced capacity at the interface between neuroscience and computation.Read moreRead less
A Novel Framework for Optimised Ensemble Classifier. The project aims to develop a novel framework for creating an optimised ensemble classifier that will improve data analysis and the accuracy of many real-world applications such as document analysis, robotics and medical diagnosis. The project plans to develop and investigate novel methods for generating diverse training environment layers, base classifiers and fusion of classifiers. It also plans to design a multi-objective evolutionary algor ....A Novel Framework for Optimised Ensemble Classifier. The project aims to develop a novel framework for creating an optimised ensemble classifier that will improve data analysis and the accuracy of many real-world applications such as document analysis, robotics and medical diagnosis. The project plans to develop and investigate novel methods for generating diverse training environment layers, base classifiers and fusion of classifiers. It also plans to design a multi-objective evolutionary algorithm-based search obtain the optimal number of layers, clusters and base classifiers. The expected outcomes of the proposed framework are advances in classifier learning. The final outcome may be novel methods which will bring in diversity during the learning of the base classifiers and provide an optimal ensemble classifier for real-world applications.Read moreRead less
Mechanisms of nerve fibre guidance by molecular gradients. Brain wiring is crucial for brain function. The project will investigate the basic principles underlying the development of brain wiring, using both experiments and mathematical models. This will lead a predictive model of how wiring develops, both in normal and abnormal situations.
An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed all ....An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed allowing the estimation of the proximity of objects for road safety and rating. The expected outcome will be new identification techniques and software which can be incorporated with road data collection systems.Read moreRead less
Neural Mechanisms Of Language Facilitation In Aphasia Due To Transcranial Direct Current Stimulation.
Funder
National Health and Medical Research Council
Funding Amount
$523,192.00
Summary
This project will assess the underlying neural mechanisms by which neurostimulation improves impaired language functions after stroke (aphasia). This will be accomplished by using a novel combination of functional magnetic resonance imaging and simultaneous transcranial direct current stimulation (tDCS) administered to different brain regions. These studies will provide crucial information necessary to optimise future clinical trials that combine tDCS with language therapy.