Associate Professor Andrew Zalesky
- Bioinformatics, Computational Statistics, Computational Modelling
- Biological Psychiatry, Computational Psychiatry
- Neuroengineering, Brain Stimulation, Neuroimaging
- Neuroscience, Systems Neuroscience, Network Neuroscience
Andrew Zalesky is Associate Professor and National Health and Medical Research Council (NHMRC) Senior Research Fellow at the University of Melbourne. He holds a joint appointment between Engineering and Medicine. Dr Zalesky has published over 170 peer-reviewed papers. He is identified in the 2018 Highly Cited Researchers list from Clarivate Analytics. This distinction ranks him in the top-1% of researchers worldwide in his field according to citations. He is the only person under the age of 40 across Engineering and Medicine to currently hold this distinction.
Contributions: Dr Zalesky is internationally recognized for his work in network neuroscience, particularly in its application to neuropsychiatry. He developed the network-based statistic, a tool that is widely used to localize brain network pathology. His tool has been used in hundreds of published research studies. Dr Zalesky co-authored the award-winning textbook Fundamentals of Brain Network Analysis and co-founded the Australian Connectomics School.
Research group: Dr Zalesky leads an interdisciplinary group of engineers and psychiatrists, who study brain networks in people with mental disorders and apply the knowledge gained from these basic studies to engineer improved therapies. His group provides a unique cross-faculty research capability across Psychiatry and Engineering, which has led to cross-faculty research linkages, joint student supervision and funding support. The group has expertise in human neuroimaging, network neuroscience, bioinformatics and neural stimulation technologies, particularly in their application to the study and treatment of depression, obsessive-compulsive disorder and schizophrenia.
Biography: Dr Zalesky received his PhD in 2006 from the Department of Electrical and Electronic Engineering at the University of Melbourne for research on mathematical modeling of all-optical telecommunication networks. After completing postdoctoral research in Hong Kong, he returned to Australia in 2007 and began applying his expertise in engineered networks to investigate brain networks in neuropsychiatric disorders. He identified novel links between disease progression in brain networks and cascading failures in engineered networks, which led to the development of innovative and widely used tools for brain network analysis. He has been with the Department of Psychiatry since 2007 and commenced a joint appointment with the Department of Biomedical Engineering at its inception in 2015.
Awards: Dr Zalesky has held numerous research fellowships awarded by the Australian Research Council (ARC) and the National Health and Medical Research Council (NHMRC). He has continuously held at least one competitive research fellowship throughout his research career. Other awards: • 2007 American-Australian Association Award in recognition of research excellence; • 2011 Ziskind-Somerfeld Research Award finalist for most highly cited paper in Biological Psychiatry; • 2014 Young Tall Poppy Science Award for excellence in science communication; • 2016 Aubery Lewis Award for research excellence in biological psychiatry; • 2018 University of Melbourne Biomedical and Chemical Engineering Outstanding Research Award.
- Van Montfort SJT, Van Dellen E, Stam CJ, Ahmad AH, Mentink LJ, Kraan CW, Zalesky A, Slooter AJC. Brain network disintegration as a final common pathway for delirium: a systematic review and qualitative meta-analysis.. Neuroimage Clin. Elsevier. 2019, Vol. 23. DOI: 10.1016/j.nicl.2019.101809
- Karazhma Kottaram A, Johnston L, Cocchi L, Ganella E, Everall I, Pantelis C, Kotagiri R, Zalesky A. Brain network dynamics in schizophrenia: Reduced dynamism of the default mode network. HUMAN BRAIN MAPPING. Wiley-Liss. 2019, Vol. 40, Issue 7. DOI: 10.1002/hbm.24519
- Sotiropoulos SN, Zalesky A. Building connectomes using diffusion MRI: why, how and but. NMR IN BIOMEDICINE. John Wiley & Sons. 2019, Vol. 32, Issue 4. DOI: 10.1002/nbm.3752
- Zalesky A, Cropley V, Wannan C. Connectivity shapes cortical thickness reductions in schizophrenia: ‘Regions that link together, thin together’. American Journal of Psychiatry. American Psychiatric Publishing. 2019.
- Sabaroedin K, Tiego J, Parkes L, Sforazzini F, Finlay A, Johnson B, Pinar A, Cropley V, Harrison B, Zalesky A, Pantelis C, Bellgrove MA, Fornito A. Functional Connectivity of Corticostriatal Circuitry and Psychosis-like Experiences in the General Community.. Biol Psychiatry. 2019. DOI: 10.1016/j.biopsych.2019.02.013
- Tian Y, Zalesky A, Bousman C, Everall I, Pantelis C. Insula Functional Connectivity in Schizophrenia: Subregions, Gradients, and Symptoms.. Biol Psychiatry Cogn Neurosci Neuroimaging. 2019, Vol. 4, Issue 4. DOI: 10.1016/j.bpsc.2018.12.003
- Laskaris L, Zalesky A, Shannon Weickert C, Di Biase M, Chana G, Baune BT, Bousman C, Nelson C, McGorry P, Everall I, Pantelis C, Cropley V. Investigation of peripheral complement factors across stages of psychosis. SCHIZOPHRENIA RESEARCH. Elsevier Science. 2019, Vol. 204. DOI: 10.1016/j.schres.2018.11.035
- Sarwar T, Kotagiri R, Zalesky A. Mapping connectomes with diffusion MRI: deterministic or probabilistic tractography?. MAGNETIC RESONANCE IN MEDICINE. John Wiley & Sons. 2019, Vol. 81, Issue 2. DOI: 10.1002/mrm.27471
- Iyer KK, Barlow KM, Brooks B, Ofoghi Z, Zalesky A, Cocchi L. Relating brain connectivity with persistent symptoms in pediatric concussion. Annals of Clinical and Translational Neurology. John Wiley & Sons. 2019, Vol. 6, Issue 5. DOI: 10.1002/acn3.764
- Seguin C, Van Den Heuvel MP, Zalesky A. REPLY TO MUSCOLONI AND CANNISTRACI: Navigation performance measures. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA. National Academy of Sciences. 2019, Vol. 116, Issue 5. DOI: 10.1073/pnas.1820315116
- Zorlu N, Capraz N, Oztekin E, Bagci B, Di Biase M, Zalesky A, Gelal F, Bora E, Durmaz E, Besiroglu L, Saricicek A. Rich club and reward network connectivity as endophenotypes for alcohol dependence: a diffusion tensor imaging study. ADDICTION BIOLOGY. Taylor & Francis Ltd. 2019, Vol. 24, Issue 2. DOI: 10.1111/adb.12599
- Çelik ZÇ, Çolak Ç, Di Biase M, Zalesky A, Zorlu N, Bora E, KitiŞ Ö, YÜncÜ Z. Structural connectivity in adolescent synthetic cannabinoid users with and without ADHD.. Brain Imaging Behav. 2019. DOI: 10.1007/s11682-018-0023-x
- Cash R, Zalesky A, Thomson RH, Tian Y, Cocchi L, Fitzgerald PB. Subgenual Functional Connectivity Predicts Antidepressant Treatment Response to Transcranial Magnetic Stimulation: Independent Validation and Evaluation of Personalization.. Biol Psychiatry. 2019. DOI: 10.1016/j.biopsych.2018.12.002
- Wells R, Jacomb I, Swaminathan V, Sundram S, Weinberg D, Bruggemann J, Cropley V, Lenroot RK, Pereira A, Zalesky A, Bousman C, Pantelis C, Shannon Weickert C, Weickert T. The Impact of Childhood Adversity on Cognitive Development in Schizophrenia.. Schizophr Bull. 2019. DOI: 10.1093/schbul/sbz033
- Tsurugizawa T, Djemai B, Zalesky A. The impact of fasting on resting state brain networks in mice. SCIENTIFIC REPORTS. Nature Publishing Group. 2019, Vol. 9. DOI: 10.1038/s41598-019-39851-6
View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile