Scott Kolbe

Dr

Accepting PhD Students

PhD projects

Magnetic Resonance Imaging (MRI) represents the gold standard for radiological diagnosis and monitoring of brain disorders. My research aims to address the following critical problems: Problem 1: How to measure pathological and reparative changes in axonal myelination? Problem 2: How to measure loss of axons? Problem 3: How to identify stressed neurons that are at risk of degeneration? Problem 4: How to classify pathology and stratify patients? Problem 5: How to identify pathological and reparative changes in large scale brain networks? Problem 6: How to translate new imaging biomarkers into radiological practice?

20052021

Research activity per year

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Personal profile

Biography

I am a research fellow in the Department of Neuroscience at the Monash University Central Clinical School. My research uses computational analysis of magnetic resonance imaging (MRI) data to study brain structure and function. I am particularly interested in understanding how the brain's of people with multiple sclerosis (MS) adapt to damage to maintain cognitive and motor functions for longer.

I have over 10 years of experience in developing techniques for measuring damage to the central nervous system using MRI. I focus on quantifying neuronal damage, altered neurochemistry and physiology using a combination of approaches including diffusion, phase, sodium and functional MRI. I have experience working with preclinical and human 3/7 Tesla MRI systems including sequence optimisation, scanner operation, data management, analysis and informatics for large scale cohort studies. 

Education/Academic qualification

Neuroscience, PhD

BSc (Hon)

External positions

Honorary Fellow, Alfred Health

Honorary Fellow, Royal Melbourne Hospital

Honorary Fellow, University of Melbourne

Research area keywords

  • Magnetic Resonance Imaging
  • multiple sclerosis
  • neuroscience

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