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Personal profile


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, The Florey Institute of Neuroscience and Mental Health

Honorary Fellow, The University of Melbourne


  • Magnetic Resonance Imaging
  • multiple sclerosis
  • neuroscience

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Research Output 2005 2019

Functional neuroplasticity in response to cerebello-thalamic injury underpins the clinical presentation of tremor in multiple sclerosis

Boonstra, F. M. C., Noffs, G., Perera, T., Jokubaitis, V. G., Vogel, A. P., Moffat, B. A., Butzkueven, H., Evans, A., van der Walt, A. & Kolbe, S. C., 1 Jan 2019, (Accepted/In press) In : Multiple Sclerosis Journal. 10 p.

Research output: Contribution to journalArticleResearchpeer-review

Validation of a precision tremor measurement system for multiple sclerosis

Perera, T., Lee, W. L., Yohanandan, S. A. C., Nguyen, A. L., Cruse, B., Boonstra, F. M. C., Noffs, G., Vogel, A. P., Kolbe, S. C., Butzkueven, H., Evans, A. & van der Walt, A., 1 Jan 2019, In : Journal of Neuroscience Methods. 311, p. 377-384 8 p.

Research output: Contribution to journalArticleResearchpeer-review

Zero-gradient-excitation ramped hybrid encoding (zGRF-RHE) sodium MRI

Blunck, Y., Moffat, B. A., Kolbe, S. C., Ordidge, R. J., Cleary, J. O. & Johnston, L. A., 1 Feb 2019, In : Magnetic Resonance in Medicine. 81, 2, p. 1172-1180 9 p.

Research output: Contribution to journalArticleResearchpeer-review

A semantic system for answering questions in neuroinformatics

Eshghishargh, A., Gray, K., Milton, S. K. & Kolbe, S. C., 29 Jan 2018, Proceedings of the Australasian Computer Science Week Multiconference 2018, Brisbane, Australia, ACSW 2018. Dinh, M. N. (ed.). New York NY USA: Association for Computing Machinery (ACM), p. 1-5 5 p. 3167960

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Fibre-specific white matter changes in multiple sclerosis patients with optic neuritis

Gajamange, S., Raffelt, D., Dhollander, T., Lui, E., van der Walt, A., Kilpatrick, T., Fielding, J., Connelly, A. & Kolbe, S., 1 Jan 2018, In : NeuroImage: Clinical. 17, p. 60-68 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access