Uncovering The Neural Mechanisms Of Obsessive-compulsive Disorder Using Brain Modelling
Funder
National Health and Medical Research Council
Funding Amount
$581,628.00
Summary
Obsessive-compulsive disorder (OCD) is an incurable mental illness and current therapies only mitigate its symptoms for a portion of individuals. Thus, there is a need to identify the neural causes of OCD to develop personalised therapies. We will combine mathematical modelling, computer simulations, and clinical and neuroimaging data to develop the first model of OCD. Outcomes from this study will enable targeted OCD research and the discovery of brain mechanisms supporting treatment response.
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.
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.
This study investigates how much an individual's genes and environment account for the wide variation in brain structure and function. Using brain imaging we examine in what way the connectivity of the brain of identical and non-identical twins is the same or different from that of their co-twin, and carry out analysis of their DNA to identify some of the genes involved. This will provide fundamental information on genetic mechanisms influencing variation in brain structure and function.
Automatic Brain Tissue Segmentation in Magnetic Resonance Images based on Knowledge-guided Constrained Clustering. Accurate volumetric measurement of brain tissues is of critical importance in the study of many brain disorders, disease diagnosis, disease progression tracking and treatment monitoring. The study in this research will result in the development of a powerful computational technique that allows automatic volumetric measurement and analysis of brain tissues. The software developed in ....Automatic Brain Tissue Segmentation in Magnetic Resonance Images based on Knowledge-guided Constrained Clustering. Accurate volumetric measurement of brain tissues is of critical importance in the study of many brain disorders, disease diagnosis, disease progression tracking and treatment monitoring. The study in this research will result in the development of a powerful computational technique that allows automatic volumetric measurement and analysis of brain tissues. The software developed in this project will expedite early clinical diagnosis and treatment of neural diseases for patients, hence saving life and reducing health cost both at the personal and the national level. Read moreRead less
Creating a non-invasive window into the mind. This project aims to create better tools to study the human mind. This project expects to generate new knowledge that can be used to non-invasively image neuronal activity. Expected outcomes include the development of unique new Magnetic Resonance Imaging (MRI) instruments to study neuronal activity in both highly controlled laboratory conditions and in humans, with the spatial and temporal resolution needed to study the neuronal circuitry that drive ....Creating a non-invasive window into the mind. This project aims to create better tools to study the human mind. This project expects to generate new knowledge that can be used to non-invasively image neuronal activity. Expected outcomes include the development of unique new Magnetic Resonance Imaging (MRI) instruments to study neuronal activity in both highly controlled laboratory conditions and in humans, with the spatial and temporal resolution needed to study the neuronal circuitry that drives low and high-level brain functions, i.e., creating a window into the mind. In the future, outcomes from this study could improve our understanding of mental disorders, advance computer brain interface technology, and inspire the next paradigm shift in artificial intelligence.Read moreRead less