Overview
Background
I am a Research Fellow at the University of Queensland with over 9 years of experience in neuroimaging research. I specialize in developing analysis pipelines for multimodal imaging data (diffusion MRI, fMRI, structural MRI), with applications in substance use, mental health, and neurological disorders. I currently lead projects that integrate advanced imaging techniques with high-performance computing to deliver scalable solutions.
What I do
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Design and deploy automated MRI workflows that scale
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Mentor students and junior staff in neuroimaging methods and coding
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Build analysis scripts with clear provenance for clinical and mental-health applications
Expertise
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Multimodal MRI: diffusion (FBA, DTI), fMRI, structural MRI; experience with 7T data
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Pipeline engineering: BIDS conversion, QC automation, longitudinal handling
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Methods: IVIM modelling, tractography, cohort-level analytics
Toolbox
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MRtrix3, FSL, FreeSurfer, SPM, AFNI, CONN, DIPY, fMRIPrep, Nilearn
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Python, Bash, C++; MATLAB, R, SPSS; GraphPad Prism
Keywords
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Diffusion MRI, fMRI, structural MRI
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Fixel-Based Analysis, DTI, IVIM
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Data harmonisation, quality control, BIDS, HPC
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Substance use, mental health, neurological disorders
Availability
- Mr Arush Honnedevasthana Arun is:
- Available for supervision
Qualifications
- Masters (Research) of Neuroscience, University of Melbourne
Research interests
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Scalable, Reproducible MRI Pipelines (BIDS → HPC → XNAT)
I build container-first workflows that transform diffusion, structural, and functional MRI into clean, analysis-ready datasets with full provenance. This includes BIDS conversion, automated QC, data harmonisation, and SLURM-based orchestration on Bunya HPC with XNAT integration
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Diffusion MRI Methods and Microstructure Biomarkers
My focus is on FBA, DTI, tractography, and Free-Water/IVIM modelling to derive robust microstructural markers across sites and scanners. I’m also developing AI-assisted denoising for diffusion MRI to stabilise downstream metrics.
Works
Search Professor Arush Honnedevasthana Arun’s works on UQ eSpace
2026
Journal Article
The neurocircuitry of cannabis cue-reactivity in Cannabis Use Disorder: a functional neuroimaging study
Lorenzetti, Valentina, Sehl, Hannah, Arun, Arush Honnedevasthana, McTavish, Eugene, Clemente, Adam, Thomson, Hannah, Quinones-Valera, Marianna, Gaillard, Alexandra, Beyer, Emillie, Thomson, Diny, Cousijn, Janna, Labuschagne, Izelle, Rendell, Peter, Terrett, Gill, Suo, Chao, Greenwood, Lisa-Marie, Manning, Victoria and Poudel, Govinda (2026). The neurocircuitry of cannabis cue-reactivity in Cannabis Use Disorder: a functional neuroimaging study. Biological Psychiatry Global Open Science, 6 (1) 100638, 1-11. doi: 10.1016/j.bpsgos.2025.100638
2025
Conference Publication
The addiction neurocircuitry during Resting-State Functional Connectivity fMRI in people with Cannabis User Disorder who tried to cut down or quit
Honnedevasthana Arun, Arush, Greenwood, Lisa, Schira, Mark, Dunsford, Suraya, Abbott, Gabrielle, Ramamurthy, Jessica, Paloubis, Anastasia, McTavish, Eugene, Solowij, Nadia, Suo, Chao and Lorenzetti, Valentina (2025). The addiction neurocircuitry during Resting-State Functional Connectivity fMRI in people with Cannabis User Disorder who tried to cut down or quit. Organisation of Human Brain Mapping, Brisbane, QLD, Australia, 24-28 June 2025.
2023
Journal Article
Measuring white matter microstructure in 1,457 cannabis users and 1,441 controls: a systematic review of diffusion-weighted MRI studies
Robinson, Emily Anne, Gleeson, John, Arun, Arush Honnedevasthana, Clemente, Adam, Gaillard, Alexandra, Rossetti, Maria Gloria, Brambilla, Paolo, Bellani, Marcella, Crisanti, Camilla, Curran, H. Valerie and Lorenzetti, Valentina (2023). Measuring white matter microstructure in 1,457 cannabis users and 1,441 controls: a systematic review of diffusion-weighted MRI studies. Frontiers in Neuroimaging, 2 1129587. doi: 10.3389/fnimg.2023.1129587
2022
Conference Publication
White matter alterations in cannabis users using Diffusion MRI: a Fixel-Based Analysis study
Honnedevasthana Arun, Arush, Lorenzetti, Valentina, Paudel, Govinda, Dhollander, Thijs, Solowij, Nadia and Greenwood, Lisa (2022). White matter alterations in cannabis users using Diffusion MRI: a Fixel-Based Analysis study. Australian Brain and Psychological Sciences Meeting, Brisbane, QLD, Australia, 11 - 14 July 202.
2021
Journal Article
Characterisation of white matter asymmetries in the healthy human brain using diffusion MRI fixel-based analysis
Honnedevasthana Arun, Arush, Connelly, Alan, Smith, Robert E. and Calamante, Fernando (2021). Characterisation of white matter asymmetries in the healthy human brain using diffusion MRI fixel-based analysis. NeuroImage, 225 117505, 1-11. doi: 10.1016/j.neuroimage.2020.117505
2021
Journal Article
Effects of yoga exercises on diabetic mellitus as validated by magnetic resonance imaging
Honnedevasthana, Arush Arun, Vatsalya, S., Chikop, Shivaprasad Ashok and Geethanath, Sairam (2021). Effects of yoga exercises on diabetic mellitus as validated by magnetic resonance imaging. International Journal of Yoga, 14 (1), 43-49. doi: 10.4103/ijoy.IJOY_30_20
2018
Journal Article
Automatic motion correction of Musculoskeletal MRI using DSLR camera
Chikop, Shivaprasad Ashok, Anchan, Antharikshanagar Bellappa Sachin, Koulagi, Girish, Honnedevasthana, Arush Arun, Imam, Shaik and Geethanath, Sairam (2018). Automatic motion correction of Musculoskeletal MRI using DSLR camera. Magnetic Resonance Imaging, 48, 74-79. doi: 10.1016/j.mri.2017.12.031
2017
Journal Article
Association of freezing of gait with nigral iron accumulation in patients with Parkinson's disease
Naduthota, Rajini M., Honnedevasthana, Arush Arun, Lenka, Abhishek, Saini, Jitender, Geethanath, Sairam, Bharath, Rose Dawn, Christopher, Rita, Yadav, Ravi, Gupta, Arun Kumar and Pal, Pramod Kumar (2017). Association of freezing of gait with nigral iron accumulation in patients with Parkinson's disease. Journal of the Neurological Sciences, 382, 61-65. doi: 10.1016/j.jns.2017.09.033
Supervision
Availability
- Mr Arush Honnedevasthana Arun is:
- Available for supervision
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Media
Enquiries
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