Systems Group
Members
Caio Seguin (Research Fellow)
Robin Cash (Research Fellow)
Ye Tian (Research Fellow)
Sina Masour (Research Fellow)
Yalda Amirmoezzi-Jahromi (PhD Candidate)
Saampras Ganesan (PhD Candidate)
Cassandra Hoffmann (PhD Candidate)
Kavisha Fernando (PhD Candidate)
Hadis Jameei (PhD Candidate)
Yihang Jiao (PhD Candidate)
Yuanzhe Liu (PhD Candidate)
Varun Mohan (PhD Candidate)
Nga Yan (Connie) Tse (PhD Candidate)
The Systems Group conducts research into the human brain in health and mental illness. We leverage neuroimaging techniques, stem cell technologies and advanced computational models to study brain networks and systems both in vivo (in the brain) and in vitro (in the dish), and apply the knowledge gained from these studies to develop improved brain stimulation and other therapies. Our researchers integrate expertise from a range of disciplines, including neuroscience, psychiatry, psychology, engineering, stem cell biology, and computer science. The group spans the Departments of Psychiatry, Biomedical Engineering and Anatomy and Physiology. The group is co-led by Andrew Zalesky and Maria DiBiase. Researchers in the group include Caio Seguin, Ye (Ella) Tian, Robin Cash, Sina Mansour, and Vanessa Cropley. Check out the Systems Group Website for details about our members, research, resources and the latest news about our group.
Australian Connectomics School
A/Prof Andrew Zalesky (University of Melbourne) & Prof Alex Fornito (Monash University) were delighted to welcome 40 national & international participants to the inaugural Australian School on Connectomics held at MNC. All places were filled within 48hrs of opening registration & feedback was very positive!
Connectomics is a burgeoning field and whether you're a psychologist interested in understanding the neural basis of cognition, a neuroscientist seeking to understand brain network organization in health and disease, or a physicist seeking to understand how network science can be applied to the brain, the Australian School on Connectomics aims to provide an introduction to the area to get you going with your own analyses. Studying brain networks requires proficiency in new computational tools and an understanding of concepts from graph theory and network science. This three-day school provided an introduction to the fundamentals of these tools and concepts. Our objective was to equip attendees with practical skills to build, visualize and analyze brain networks.
Key Publications
Cropley VL, Klauser P, Lenroot RK, Bruggemann J, Sundram S, Bousman C, Pereira A, Di Biase MA, Weickert TW, Weickert CS, Pantelis C, Zalesky A (2017) Accelerated gray and white matter deterioration with age in schizophrenia. American Journal of Psychiatry. 174(3):286-295.
Sotiropoulos S, Zalesky A (2017) Building connectomes using diffusion MRI: why, how and but. NMR in Biomedicine.
Fornito A, Zalesky A, Bullmore E. (2016). Fundamentals of Brain Network Analysis, Academic Press (Elsevier). 450+ page authored textbook. Resides in top-10% most read neuroscience books published by Elsevier in 2016.
Zalesky A et al., (2014). Time-resolved resting-state brain networks. Proc Natl Acad Sci U S A 111, 10341-10346.
Zalesky A et al., (2012). Effects of long term cannabis use on axonal fibre connectivity. Brain 135, 2245-2255.
Fornito A, Zalesky A, Breakspear M. (2015). The connectomics of brain disorders. Nature Reviews Neuroscience 16, 159-172.
Zalesky A et al., (2015). Delayed development of brain connectivity in adolescents with schizophrenia and their unaffected siblings. JAMA Psychiatry 72; 900-908.