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

A Zalesky; A Fornito; IH Harding; L Cocchi; M Yücel; C Pantelis; ET Bullmore

Journal article

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

A Zalesky, A Fornito, IH Harding, L Cocchi, M Yücel, C Pantelis, ET Bullmore

Neuroimage | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2010

DOI: 10.1016/j.neuroimage.2009.12.027

Abstract

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, while white-matter fiber bundles serve as interconnecting network links. However, the lack of a gold standard for regional parcellation in brain MRI makes the definition of nodes arbitrary, meaning that network nodes are defined using templates employing either random or anatomical parcellation criteria. Consequently, the number of nodes included in networks studied by different authors has varied considerably, from less than 100 up to more than 104. Here, we systematically and quantitatively assess the behavior,..

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University of Melbourne Researchers

Andrew Zalesky Author

Christos Pantelis Author

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Grants

Awarded by National Institute of Mental Health

Funding Acknowledgements

The computing resources utilized to undertake this project were provided by the Florey Neuroscience Institutes and the Department of Electrical & Electronic Engineering at the University of Melbourne. We thank Professors G.F. Egan and I. Mareels for facilitating access to these Computing resources. Software development was supported by a Human Brain Project grant from the National Institute of Biomedical Imaging & Bioengineering and the National Institute of Mental Health. Many of the graph measures reported in this paper were computed using the MatIabBGL package written by D. Gleich. AZ is supported by the Australian Research Council (DP0986320). AF is supported by the National Health & Medical Research Council (NHMRC) CJ Martin Fellowship (454797). LC is supported by the Swiss National Science Foundation (PBLAB3-119622; PASMP3-129357/1). MY is supported by the NHMRC Clinical Career Development Award (509345). CP is supported by the NHMRC Senior Principal Research Fellowship (SPRF; 628386) and NHMRC Program Grant (566529). EB is a half-time employee of GlaxoSmithKline.