Schizophrenia, neuroimaging and connectomics

Alex Fornito; Andrew Zalesky; Christos Pantelis; Edward T Bullmore

Journal article

Schizophrenia, neuroimaging and connectomics

Alex Fornito, Andrew Zalesky, Christos Pantelis, Edward T Bullmore

NEUROIMAGE | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2012

DOI: 10.1016/j.neuroimage.2011.12.090

Abstract

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 providing abundant evidence of structural and functional connectivity abnormalities in the disorder. In recent years, our understanding of how schizophrenia affects brain networks has been greatly advanced by attempts to map the complete set of inter-regional interactions comprising the brain's intricate web of connectivity; i.e., the human connectome. Imaging connectomics refers to the use of neuroimaging techniques to generate these maps which, combined with the application of graph theoretic methods, has enabled ..

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University of Melbourne Researchers

Christos Pantelis Author Psychiatry

Andrew Zalesky Author Psychiatry

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Grants

Awarded by National Health and Medical Research Council

Funding Acknowledgements

ETB is employed half-time by GlaxoSmithKline. CP has received grant support from Janssen-Cilag, Eli Lilly, Hospira (Mayne), and Astra Zeneca. He has provided consultancy to Janssen-Cilag, Eli Lilly, Hospira (Mayne), Astra Zeneca, Pfizer, Schering Plough, and Lundbeck. He has undertaken investigator initiated studies supported by Eli Lilly, Hospira, Janssen Cilag and Astra Zeneca.The authors thank Mary-Ellen Lynall and Aaron Alexander-Bloch for generously providing data and images to assist in generating some of the figures. AF was supported by a National Health and Medical Research Council CJ Martin Fellowship (ID: 454797). AZ is supported by a Melbourne Neuroscience Institute Fellowship and an Australian Research Council Research Fellow (APD; ID: DP0986320). CP was supported by a NHMRC Senior Principal Research Fellowship (ID: 628386) and NHMRC program grants (ID: 350241, 566529).