Smart Glasses: activity recognition for cognitive aid. The project aims to develop an automatic activity recognition system for cognitive aid of dementia and stroke victims. The ‘Smart Glasses’ system will be based on sensors embedded in glasses and machine learning techniques to automatically detect the activity being performed by a patient, and provide feedback. Sufferers will regain independence and autonomy by improving safety awareness around the home; carers will be provided real-time info ....Smart Glasses: activity recognition for cognitive aid. The project aims to develop an automatic activity recognition system for cognitive aid of dementia and stroke victims. The ‘Smart Glasses’ system will be based on sensors embedded in glasses and machine learning techniques to automatically detect the activity being performed by a patient, and provide feedback. Sufferers will regain independence and autonomy by improving safety awareness around the home; carers will be provided real-time information of patient safety status or adverse events; rehabilitation professionals will be able to use feedback to refine a patient’s program and maximise quality and safety of ambulatory rehabilitation care; and patients will improve rehabilitation outcomes through tailored treatment.Read moreRead less
Mouse models for the identification of factors involved in muscle adaptation. The ability of muscle to adapt to meet functional demands is essential for mobility in normal daily life, in ageing well, in individuals with muscle diseases and nerve damage and in athletes. The ability of muscle to change its cellular composition is desirable for the livestock industry. Knowledge of how genes in muscle cells are regulated to adapt to demands has significant implications for public health and economic ....Mouse models for the identification of factors involved in muscle adaptation. The ability of muscle to adapt to meet functional demands is essential for mobility in normal daily life, in ageing well, in individuals with muscle diseases and nerve damage and in athletes. The ability of muscle to change its cellular composition is desirable for the livestock industry. Knowledge of how genes in muscle cells are regulated to adapt to demands has significant implications for public health and economic benefits. We have devised model systems that will allow us to identify the regulators of these genes in order to develop therapies to combat these changes in ageing and damaged muscle, to improve the quality of meat and optimise sport performance.Read moreRead less
The unfolding story of the 2009 Adelaide heatwave: risk factors for mortality and morbidity. This project will conduct a case control study in Adelaide to explore the risk factors of extra health burden related to the 2009 heatwave. Given the prediction of more extreme heat events, this study will provide important information for policy makers and service providers to assist in the development of more resilient communities to climate change.
Neuronal Substrate Of Choice In The Rat Whisker System
Funder
National Health and Medical Research Council
Funding Amount
$405,851.00
Summary
Humans and other animals can optimise their goal-directed behaviour by linking stimuli or actions to consequent positive and negative rewards. How does an animal generate such associations, and make decisions in the natural environment where the associations are often uncertain, at times contradictory, and continuously changing? This project uses rat whisker system as an animal model to identify the neuronal basis of perceptual decision making and the role of context.
THE EFFECT OF STRESS AND ENVIRONMENTAL ENRICHMENT ON DISEASE PROGRESSION IN MESIAL TEMPORAL LOBE EPILEPSY
Funder
National Health and Medical Research Council
Funding Amount
$578,201.00
Summary
Mesial temporal lobe epilepsy, the most common form of drug-resistant epilepsy in adults, is a progressive neurodegenerative condition for which there is currently no effective disease modifying treatment. This proposal will explore whether co-morbid stress accelerates disease progression in MTLE, and whether targeting stress pathways by medical and environmental manipulations can mitigate against this.
A Multi-national Trial To Predict Treatment Response In Subtypes Of Depression
Funder
National Health and Medical Research Council
Funding Amount
$387,489.00
Summary
Treatment of MDD using trial and error can have serious consequences. It can prolong the patient’s suffering (depression is associated with substantial morbidity, and mortality), prolong their absence from work and other productive activity and increase the burden on their family-carers. This multi-national study will collect genetics, brain function and behavioural data from a large number of participants, allowing for sensitive predictors of response to be determined.
Predictors Of Response To Antidepressants: Utility Of Behavioural, Neuroimaging And Genetics Data
Funder
National Health and Medical Research Council
Funding Amount
$310,071.00
Summary
Major depressive disorder (MDD) is projected to cause the second greatest global burden of disease by 2020, highlighting the urgent need for valid predictors of effective treatment response. Currently, there are no accurate predictors of response to antidepressants in MDD, and successful treatment relies greatly on 'trial and error'. This process is demanding on health resources, and may be a factor in the high suicide rates in depressed patients. Previous research on treatment response has been ....Major depressive disorder (MDD) is projected to cause the second greatest global burden of disease by 2020, highlighting the urgent need for valid predictors of effective treatment response. Currently, there are no accurate predictors of response to antidepressants in MDD, and successful treatment relies greatly on 'trial and error'. This process is demanding on health resources, and may be a factor in the high suicide rates in depressed patients. Previous research on treatment response has been limited by recruitment of small, heterogeneous patient samples, lack of placebo control, and a failure to examine task related activity in brain imaging studies. Perhaps one of the more troubling aspects of research that aims to predict treatment response to antidepressant medications is the use of commonly used outcome measures such as the Hamilton Rating Depression Scale (HAM-D), which were developed long before current classification systems of depression came into use. The US Federal Drug Administration has recently identified what they call a translational gap such that behavioural and biological measures are the most robust for detection of disorders such as depression, yet these measures remain to be translated into clinical tools that can be used to evaluate treatment. The aim of the current study therefore is to determine whether genetic variability is related to treatment outcome as defined by a more objective outcome measure (facial expression perception) using a randomised controlled design. The study will also determine whether brain measures (fMRI, EEG) enhance the prediction of SSRI response to both clinical and behavioural measures, over and above the genetic contribution.Read moreRead less