Development of the 'rich club' in brain connectivity networks from 438 adolescents & adults aged 12 to 30

Dennis, E. L., Jahanshad, N., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., Hickie, I., Wright, M. J., & Thompson, P. M. (2013) Development of the 'rich club' in brain connectivity networks from 438 adolescents & adults aged 12 to 30. In ISBI 2013 : 2013 10th IEEE International Symposium... by Institute of Electrical and Electronics Engineers, ISBI 2013 : 2013 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro: Proceedings, IEEE, San Francisco, USA, pp. 624-627.

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Abstract

The 'rich club' coefficient describes a phenomenon where a network's hubs (high-degree nodes) are on average more intensely interconnected than lower-degree nodes. Networks with rich clubs often have an efficient, higher-order organization, but we do not yet know how the rich club emerges in the living brain, or how it changes as our brain networks develop. Here we chart the developmental trajectory of the rich club in anatomical brain networks from 438 subjects aged 12-30. Cortical networks were constructed from 68×68 connectivity matrices of fiber density, using whole-brain tractography in 4-Tesla 105-gradient high angular resolution diffusion images (HARDI). The adult and younger cohorts had rich clubs that included different nodes; the rich club effect intensified with age. Rich-club organization is a sign of a network's efficiency and robustness. These concepts and findings may be advantageous for studying brain maturation and abnormal brain development.

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4 citations in Web of Science®

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ID Code: 85760
Item Type: Conference Paper
Refereed: Yes
Keywords: development, high angular resolution diffusion imaging (HARDI), network analyses, rich club coefficient, structural connectivity, tractography
DOI: 10.1109/ISBI.2013.6556552
ISBN: 9781467364560
ISSN: 1945-7928
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2013 IEEE
Deposited On: 02 Sep 2015 23:59
Last Modified: 04 Sep 2015 02:20

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