Non-invasive Detection Of Hypoglycaemia In People With Diabetes Using Brain Wave Activity
Funder
National Health and Medical Research Council
Funding Amount
$330,447.00
Summary
Hypoglycaemia remains a major cause of morbidity and mortality in people with both type 1 diabetes and type 2 diabetes who require insulin therapy. Current treatments for nocturnal hypoglycaemia are usually ineffective. Combining brain wave recording and artificial intelligence, we will identify the changes that precipitate an episode of hypoglycaemia allowing the development of a non-invasive device to prevent or alleviate these fearful and potentially life-threatening events.
Information Encoding By Temporal Structure Of Afferent Spike Trains
Funder
National Health and Medical Research Council
Funding Amount
$231,175.00
Summary
Our ability to sense, discriminate and interpret touch stimuli underpins some of the most crucial functions of the human hand that relate to object exploration and manipulation. The fundamental mechanism of how nerve impulses generated by tactile receptors are interpreted by the nervous system is not understood. Only by discovering the underlying neural encoding mechanisms can we appreciate the functional impairments in patients and learn to identify them before they become widespread and irreve ....Our ability to sense, discriminate and interpret touch stimuli underpins some of the most crucial functions of the human hand that relate to object exploration and manipulation. The fundamental mechanism of how nerve impulses generated by tactile receptors are interpreted by the nervous system is not understood. Only by discovering the underlying neural encoding mechanisms can we appreciate the functional impairments in patients and learn to identify them before they become widespread and irreversible.Read moreRead less
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
The Effect Of Stress And Hypercortisolaemia On Limbic Epileptogenesis & Affective Disorder.
Funder
National Health and Medical Research Council
Funding Amount
$380,714.00
Summary
This project has the potential to provide novel insights about the causal connections between stress, psychiatric illness (specifically anxiety and depression) and temporal lobe epilepsy (TLE) - the most common form of medical refractory epilepsy in the community. Up to 50% of patients with TLE suffer from anxiety and-or depression. Until relatively recently it had been widely assumed that this was a consequence of the chronic epileptic condition. However, recent evidence suggests that there is ....This project has the potential to provide novel insights about the causal connections between stress, psychiatric illness (specifically anxiety and depression) and temporal lobe epilepsy (TLE) - the most common form of medical refractory epilepsy in the community. Up to 50% of patients with TLE suffer from anxiety and-or depression. Until relatively recently it had been widely assumed that this was a consequence of the chronic epileptic condition. However, recent evidence suggests that there is a bi-directional relationship, with the psychiatric conditions and stress also acting to aggravate the seizures and even predispose to the development of the epilepsy itself. Apart from gaining insights into causes of TLE, anxiety and depression, this framework has potential public health relevance suggesting approaches to the eventual primary and secondary prevention of both MTLE and its associated psychiatric co-morbidities, a neglected area at present. The use of an animal model allows investigation of aetiological processes that extend over the lifetime, which is exceptionally difficult to achieve in humans. Retrospective studies, such as case-control studies, although an indispensable research methods, are subject to bias and imprecision when it comes to measuring remote past exposures to stress, abuse, and deprivation. If the results of these experiments are consistent with our hypotheses, a very strong case would exist for exploring this relationship in human studies. The data would also provide a strong rationale for more aggressive detection and treatment of these psychiatric co-morbidities in TLE patients, in order to potentially modify the progression of the disorder as well as improve the quality of life of sufferers. The results of intervention studies in animal models may suggest specific mode of treatment to achieve this.Read moreRead less
The Contribution Of Subunit Interfaces To Receptor Activation In Ligand Gated Ion Channels
Funder
National Health and Medical Research Council
Funding Amount
$309,070.00
Summary
This project seeks to provide insights into new mechanisms that could be used to enhance or inhibit neuronal signalling. The family of pentameric neurotransmitter receptors that are key components in the process of neuronal signalling and are the target of this study. It will investigate the molecular motions that occur when the receptor shifts from the resting state to the activated state in the presence of neurotransmitter. This critical to understanding the normal function of these receptors ....This project seeks to provide insights into new mechanisms that could be used to enhance or inhibit neuronal signalling. The family of pentameric neurotransmitter receptors that are key components in the process of neuronal signalling and are the target of this study. It will investigate the molecular motions that occur when the receptor shifts from the resting state to the activated state in the presence of neurotransmitter. This critical to understanding the normal function of these receptors in the brain and how they can be modulated.Read moreRead less
Next Generation Brain-Machine Interface: Minimally-Invasive Endovascular Stent-Electrode Array For Robotic Limb Control
Funder
National Health and Medical Research Council
Funding Amount
$1,735,574.00
Summary
Persons affected by quadriplegia and hemiplegia from stroke and spinal cord injury have few treatment options. Brain Machine Interfaces (BMIs) reconnect brain to a prosthetic limb, bypassing damaged nervous system. Our group has developed a BMI that can be implanted minimally-invasively, inside a blood vessel within the brain. We propose to evaluate this device in animal studies, and continue on to a human clinical trial pilot study. The aim is to restore mechanical control over the physical env ....Persons affected by quadriplegia and hemiplegia from stroke and spinal cord injury have few treatment options. Brain Machine Interfaces (BMIs) reconnect brain to a prosthetic limb, bypassing damaged nervous system. Our group has developed a BMI that can be implanted minimally-invasively, inside a blood vessel within the brain. We propose to evaluate this device in animal studies, and continue on to a human clinical trial pilot study. The aim is to restore mechanical control over the physical environment for a paralysed patient.Read moreRead less
Why Does Early Life Stress Aggravate Limbic Epileptogenesis?
Funder
National Health and Medical Research Council
Funding Amount
$540,116.00
Summary
High rates of anxiety and depression occur in individuals with temporal lobe epilepsy (TLE), the most common form of focal epilepsy in adults. Rats that have experienced early life stress show increased anxiety, decreased seizure thresholds and accelerated epilepsy as adults. We have important leads to mechanisms. The proposed study will better understand the mechanisms connecting early life stress and psychiatric disease to adult TLE, and to test interventions that may counteract these effects.
Dynamics of word recognition: new insight from the reach-to-touch paradigm. This project will introduce a new behavioural reach-to-touch paradigm for studying basic cognitive processes such as word recognition. The advantage of this paradigm is that it is able to measure cognitive processes moment-by-moment as they unfold over time. This will provide new insights into the temporal dynamics of basic cognitive processing.
Risky Futures: Toward a Computational Process Model of Risky Inter-Temporal Choice. A lot is known about people’s preferences. People like their rewards now. Most would prefer $10 today than $20 in one month. Risk is also unattractive; a certain $10 is more attractive than a 50 per cent chance of receiving $25. Surprisingly, much less is known about the interaction between delay and risk. That is, relatively little is known about whether people prefer $10 now, or a 50 per cent chance of $50 in ....Risky Futures: Toward a Computational Process Model of Risky Inter-Temporal Choice. A lot is known about people’s preferences. People like their rewards now. Most would prefer $10 today than $20 in one month. Risk is also unattractive; a certain $10 is more attractive than a 50 per cent chance of receiving $25. Surprisingly, much less is known about the interaction between delay and risk. That is, relatively little is known about whether people prefer $10 now, or a 50 per cent chance of $50 in one month. This project will use a combination of experiments and cognitive modelling to examine all three types of choice. The outcome will be a novel computational model that will elucidate the complex interaction between delay and risk, thereby answering an enduring question in the literature: are risk and delay psychologically equivalent?Read moreRead less