Imaging The Human Brain Connectome And Its Application To Psychiatric Disorders.
Funder
National Health and Medical Research Council
Funding Amount
$428,065.00
Summary
The human brain has long been conceptualized as a complex neural network. The connections of this network are yet to be characterized in full detail. Only recent technological advances in imaging have made possible to visualize the network architecture of the living brain. My fellowship will focus on using MRI techniques to map the interconnected network of the brain also called as the “connectome” and apply this knowledge to advance the understanding of neuropsychiatric disorders.
Goal-directed Behaviour In Adolescent ADHD: Neural Connectivity And It’s Significance For Clinical Translation
Funder
National Health and Medical Research Council
Funding Amount
$318,768.00
Summary
Impaired goal-directed decision-making leads to significant difficulties in adolescent attention deficit hyperactivity disorder (ADHD). This research will use novel imaging techniques to study individual-level impairments in brain connectivity in decision making circuits and the effects of common ADHD medications. As these medications are currently prescribed by trial and error, identifying specific connectivity brain signatures will make major contributions to personalised treatment selection.
Towards Predicting Brain Deformations For Image-guided Neurosurgery
Funder
National Health and Medical Research Council
Funding Amount
$304,281.00
Summary
We will significantly improve the efficiency of image-guided neurosurgery for brain tumours by creating a novel system to improve intra-operative visualisation and navigation utilising realistic prediction of brain deformations based on a biomechanical model. The system will create an augmented reality visualisation of the intra-operative configuration of the patient's brain merged with high resolution pre-operative imaging data in order to better localise the tumour and critical healthy tissues ....We will significantly improve the efficiency of image-guided neurosurgery for brain tumours by creating a novel system to improve intra-operative visualisation and navigation utilising realistic prediction of brain deformations based on a biomechanical model. The system will create an augmented reality visualisation of the intra-operative configuration of the patient's brain merged with high resolution pre-operative imaging data in order to better localise the tumour and critical healthy tissues.Read moreRead less
Improving The Assessment Of Brain Tumour Treatment Outcome Using 18F-FDOPA PET-MRI Fusion
Funder
National Health and Medical Research Council
Funding Amount
$660,666.00
Summary
The mortality rate within the first year of diagnosis for high-grade brain tumours is approximately 80%. A major factor contributing to poor outcome measures is the limitation of current neuroimaging techniques. In a novel approach we propose to combine the information available from MRI and PET images to better define the extent of the tumour and provide markers of early treatment response. This improved diagnostic information should improve survival rates.
The Development Of Innovative Multiplexed Molecular Imaging Technology Targeting Improved Diagnostic Imaging Of Glioblastoma Multiforme
Funder
National Health and Medical Research Council
Funding Amount
$403,599.00
Summary
Glioblastoma Multiforme (GBM) is extremely invasive and the most lethal of all primary brain tumours. To optimise treatment planning, we propose to develop novel Multiplexed Molecular Imaging (MMI) technology employing the latest PET-MRI hybrid imaging technology. Our strategy targets the development of new F19 MRI MI agents for measuring tumour infiltration that can be multiplexed with F18 PET hypoxia tracers. Our MI agents can also act as conjugative vehicles for drug delivery.