Associate Professor Andrew Zalesky
- 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.
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 is used in hundreds of published research studies. His contributions to neuropsychiatry include one of the first maps of the schizophrenia connectome. Dr Zalesky co-authored the award-winning textbook Fundamentals of Brain Network Analysis and founded the Australian Connectomics School.
Research Group: Dr Zalesky leads Systems Neuropsychiatry and Neuroengineering. His group brings together engineers and psychiatrists who study brain networks in people with serious mental disorders and utilize the basic knowledge gained from these studies to engineer improved therapies. His group is currently undertaking clinical trials of computational approaches for brain stimulation treatment personalization.
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 the study of 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 widely used tools for brain network analysis. In 2013, he established the Systems Neuropsychiatry and Neuroengineering research group. 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 include: 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 Outstanding Research Award.
- Kottaram A, Johnston L, Cocchi L, Ganella EP, 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. DOI: 10.1002/hbm.24519
- 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 M, Fornito A. Functional Connectivity of Corticostriatal Circuitry and Psychosis-Like Experiences in the General Community. Biological Psychiatry. Elsevier. 2019.
- Tian Y, Zalesky A, Bousman C, Everall I, Pantelis C. Insula Functional Connectivity in Schizophrenia: Subregions, Gradients, and Symptoms. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 2019. DOI: 10.1016/j.bpsc.2018.12.003
- Laskaris L, Zalesky A, Shannon Weickert C, Di Biase M, Chana G, Baune B, 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
- 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 MA, Zalesky A, Zorlu N, Bora E, KitiŞ Ö, YÜncÜ Z. Structural connectivity in adolescent synthetic cannabinoid users with and without ADHD. Brain Imaging and Behavior. Springer. 2019. DOI: 10.1007/s11682-018-0023-x
- Cash RFH, 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
- 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
- Al-Amin M, Bradford DK, Sullivan RKP, Kurniawan ND, Moon Y, Han SH, Zalesky A, Burne THJ. Vitamin D deficiency is associated with reduced hippocampal volume and disrupted structural connectivity in patients with mild cognitive impairment. Human Brain Mapping. Wiley-Liss. 2019, Vol. 40, Issue 2. DOI: 10.1002/hbm.24380
- Phillipou A, Carruthers S, Di Biase M, Zalesky A, Abel L, Castle D, Gurvich C, Rossell S. White matter microstructure in anorexia nervosa. 31st Congress of the European-College-of-Neuropsychopharmacology (ECNP). Elsevier Science. 2019, Vol. 29. DOI: 10.1016/j.euroneuro.2018.11.341
- Lin H-Y, Cocchi L, Zalesky A, Lv J, Perry A, Tseng W-YI, Kundu P, Breakspear M, Gau SS-F. Brain-behavior patterns define a dimensional biotype in medication-naive adults with attention-deficit hyperactivity disorder. PSYCHOLOGICAL MEDICINE. Cambridge University Press. 2018, Vol. 48, Issue 14. DOI: 10.1017/S0033291718000028
- Tian Y, Zalesky A. Characterizing the functional connectivity diversity of the insula cortex: Subregions, diversity curves and behavior. NEUROIMAGE. Academic Press. 2018, Vol. 183. DOI: 10.1016/j.neuroimage.2018.08.055
View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile