User profiles for Andrew Zalesky

Andrew Zalesky

Engineering & Medicine, University of Melbourne, Australia
Verified email at unimelb.edu.au
Cited by 25716

Network-based statistic: identifying differences in brain networks

A Zalesky, A Fornito, ET Bullmore - Neuroimage, 2010 - Elsevier
Large-scale functional or structural brain connectivity can be modeled as a network, or graph.
This paper presents a statistical approach to identify connections in such a graph that may …

The connectomics of brain disorders

A Fornito, A Zalesky, M Breakspear - Nature Reviews Neuroscience, 2015 - nature.com
Pathological perturbations of the brain are rarely confined to a single locus; instead, they
often spread via axonal pathways to influence other regions. Patterns of such disease …

Disrupted axonal fiber connectivity in schizophrenia

A Zalesky, A Fornito, ML Seal, L Cocchi, CF Westin… - Biological …, 2011 - Elsevier
BACKGROUND:: Schizophrenia is believed to result from abnormal functional integration of
neural processes thought to arise from aberrant brain connectivity. However, evidence for …

Graph analysis of the human connectome: promise, progress, and pitfalls

A Fornito, A Zalesky, M Breakspear - Neuroimage, 2013 - Elsevier
The human brain is a complex, interconnected network par excellence. Accurate and informative
mapping of this human connectome has become a central goal of neuroscience. At the …

Whole-brain anatomical networks: does the choice of nodes matter?

A Zalesky, A Fornito, IH Harding, L Cocchi, M Yücel… - Neuroimage, 2010 - Elsevier
Whole-brain anatomical connectivity in living humans can be modeled as a network with
diffusion-MRI and tractography. Network nodes are associated with distinct grey-matter regions, …

[BOOK][B] Fundamentals of brain network analysis

A Fornito, A Zalesky, E Bullmore - 2016 - books.google.com
Andrew Zalesky is grateful for the wonderfully rich discussions with colleagues that have
shaped his thinking about brain networks, much of which is reflected in these pages. He is …

Schizophrenia, neuroimaging and connectomics

A Fornito, A Zalesky, C Pantelis, ET Bullmore - Neuroimage, 2012 - Elsevier
Schizophrenia is frequently characterized as a disorder of brain connectivity. Neuroimaging
has played a central role in supporting this view, with nearly two decades of research …

Time-resolved resting-state brain networks

A Zalesky, A Fornito, L Cocchi… - Proceedings of the …, 2014 - National Acad Sciences
Neuronal dynamics display a complex spatiotemporal structure involving the precise,
context-dependent coordination of activation patterns across a large number of spatially distributed …

Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection

A Fornito, BJ Harrison, A Zalesky… - Proceedings of the …, 2012 - National Acad Sciences
Analyses of functional interactions between large-scale brain networks have identified two
broad systems that operate in apparent competition or antagonism with each other. One …

[HTML][HTML] Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality

…, NT Lautenschlager, M Breakspear, A Zalesky - Nature medicine, 2023 - nature.com
Biological aging of human organ systems reflects the interplay of age, chronic disease, lifestyle
and genetic risk. Using longitudinal brain imaging and physiological phenotypes from the …