Quick Project Snapshot

Functional neuroimaging analysis to identify brain abnormality in epilepsy

Combined functional magnetic resonance imaging (fMRI) and electro-encephalography (EEG) approaches can be used to define the brain networks in patients with epilepsy. The aim of this project is to further develop and apply algorithms that can best identify the components of the network that are responsible for the generation of the hyper-synchronisation that is characteristic of the epileptic seizure.  This project uses advanced neuroimaging methods in functional imaging including functional connectivity, signal processing and data-driven analysis methods. The project may suit a candidate with a background or strong interest in physics, engineering, computer science, mathematics or statistics.  Figure caption: Example demonstrating how methodological improvement can yield additional information from functional imaging data. Here the same brain imaging data are analysed in two ways. The analysis on the right included a novel de-noising algorithm (SOCK, developed by Florey PhD student Kaushik Bhaganagarapu) and yielded additional information regarding the spatio-temporal pattern of brain activity compared to the conventional analysis without SOCK.

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HEAD OF LAB
A/Prof David Abbott

Epilepsy Neuroinformatics Laboratory

The Neuroinformatics Laboratory undertakes advanced neuroimaging analysis methods development and applied research to further our understanding of the human brain in health and disease. Whilst the work in the laboratory is relevant to a wide range of brain mapping applications, a particular emphasis of the research is towards methods that can help better understand the causes and consequences of epileptic seizures. This includes implementation, development and application of advanced image analysis procedures for structural and functional magnetic resonance imaging (MRI, fMRI) and electroencephalography (EEG) - including simultaneous EEG & fMRI. These non-invasive imaging modalities together with advanced computational methods are capable of mapping human brain activity at millimetre spatial resolution and millisecond temporal resolution. Our scientists work collaboratively with local and international clinical research teams, sharing analysis methods and data in a multidisciplinary pursuit of discovery.

The Neuroinformatics Laboratory has a range of software publicly available.  Please click below for further information and downloads.

Software Available

 

All Projects by this Lab

Functional neuroimaging analysis to identify brain abnormality in epilepsyArtefact reduction in functional MRIFunctional connectivity and the human brain functional connectomeFunctional MRI Processing PipelinesLaterality of brain functionMorphometryQuantitative voxel-based analysis of qualitative imagesSimultaneous EEG-fMRIT2 relaxometry

Epilepsy

The Florey's Epilepsy division is a world-leading centre for epilepsy research. The division has major groups at both the Florey’s Austin and Parkville campus. The group studies mechanisms that cause epilepsy from the level of cells to the function of the whole brain. We use technologies including advanced MRI and cutting edge cellular physiology techniques to allow us to understand genetic and acquired mechanisms that give rise to epilepsy. Together with our colleagues from The University of Melbourne and across Australia we are working towards finding a cure for epilepsy.

All Labs that operate in this Division

Epilepsy Cognition LaboratoryEpilepsy Neuroinformatics LaboratoryImaging and EpilepsyInnate Phagocytosis LaboratoryIon Channels and Human Diseases LaboratoryNeural Networks LaboratoryNeurophysiology of Excitable Networks LaboratoryPsychology and Experimental NeurophysiologySleep and CognitionTraumatic Brain Injury Laboratory