Novel MRI Approaches To Map Focal Cortical Dysplasia In Focal Epilepsy
Funder
National Health and Medical Research Council
Funding Amount
$465,489.00
Summary
Focal cortical dysplasia (FCD) is a common cause of focal epilepsy that is resistant to medication. When it can be identified clearly, surgical removal can cure the epilepsy but better methods of detecting and mapping FCD are required because standard imaging techniques are negative in 30% of patients. In this project, we plan to develop new MRI methods to diagnose FCD, thereby creating a new MRI-based diagnostic tool for patients with focal epilepsy who are potential surgical candidates.
Improved Identification Of At-risk Brain Tissue In Patients With Stroke
Funder
National Health and Medical Research Council
Funding Amount
$279,044.00
Summary
Stroke is one of the most frequent causes of death and the major cause of adult neurological disability. Diagnostic tools to improve its management are therefore crucial. This project is dedicated to improving the magnetic resonance imaging techniques for measuring blood flow to the brain, and to applying these to patients who have had a stroke. Improved methods will enable better prediction of tissue outcome following stroke, thus enabling optimal early management decisions to be taken.
Validating And Optimising The Analysis Of Magnetic Resonance Physiology Data
Funder
National Health and Medical Research Council
Funding Amount
$91,725.00
Summary
Combined electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is used to detect the anatomical areas in the brain that show electrical activity. Several centres worldwide use this technique to localise the seizure focus in patients with epilepsy. However, there is a lack of validation of the currently applied techniques. Current analysis methods have been developed and validated for other fMRI paradigms, such as motor tasks. It is not known whether the same principles ar ....Combined electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is used to detect the anatomical areas in the brain that show electrical activity. Several centres worldwide use this technique to localise the seizure focus in patients with epilepsy. However, there is a lack of validation of the currently applied techniques. Current analysis methods have been developed and validated for other fMRI paradigms, such as motor tasks. It is not known whether the same principles are applicable and optimal for fMRI-EEG data. The proposed project aims at validating and optimising the analysis strategies for fMRI-EEG data.Read moreRead less