Neuroimaging & Neuroinformatics Laboratory

in conjunction with the Florey Neuroscience Institutes

The Neuroimaging and Neuroinformatics Laboratory has four main research areas: Neurodegenerative Disorders Research, Interoception Research, Neuroimaging Methodology and Neuroscience Informatics. Laboratory members are undertaking neuroimaging research projects into neurodegenerative disorders such as Multiple Sclerosis and Huntington’s disease, quantitative analysis and modeling of neuroimages, and in neuroinformatics.

The Laboratory, led by Associate Professor Gary Egan, is developing systems to analyse large neuroimaging datasets. Magnetic resonance images contain enormously detailed information about brain structure and function. In order to realize the true potential of such data, investigations of large imaging data sets across multiple laboratories need to be supported by technology based database federation and analytical techniques. This requires layered information technology systems including image database creation and curation tools, and standardised image processing using clusters of computers. The team is currently managing data from human and animal imaging projects and envisages extending the analysis of image databases by correlating neuroanatomy and brain function with genetic analyses in individual subjects.

Visit Neuroimaging and Neuroinformatics website

2010 Neuroimaging and Neuroinformatics Group

Staff	Students	Egan Group
Group Leader Professor Gary Egan, BSc, PhD Melb, MBA Neil Killeen, BSc (Hons), PhD ANU Michael Farrell, BAppSc(Phty), MSc, PhD Leonie Cole, BBSc (Hons) LaTrobe PhD Melb Hong Wang, MBBS Tianjin, MAppSci Swinburne Wilson Lui BE Hebei China MSSE Melb	Hamed Asadi, MD Iran Tharushini Bowala BTech (Biomed) Auckland, NZ Hamed Aklaghi, MD Iran Scott Kolbe, BSc (Hons) Melb India Bohanna, BA BSc (Hons) Monash

Images from the Lab

[click on the images to enlarge]

Neural response to complex visuospatial tasks in (A) mathematically gifted and (B) average ability male adolescents.	fMRI combines images of many slices of the brain to create a 3D picture of the brain .
fMRI activations during painful stimulus.	Diffusion imaging of premature infants.