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Network maps of the human brain's rich club

Published online by Cambridge University Press:  07 August 2013

OLAF SPORNS
Affiliation:
Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA (e-mail: [email protected])
MARTIJN P. VAN DEN HEUVEL
Affiliation:
Rudolf Magnus Institute of Neuroscience and Department of Psychiatry, University Medical Center Utrecht, The Netherlands (e-mail: [email protected])

Extract

Does the human brain have a central connective core, and, if so, how costly is it?

Noninvasive imaging data allow the construction of network maps of the human brain, recording its structural and functional connectivity. A number of studies have reported on various characteristic network attributes, such as a tendency toward local clustering, high global efficiency, the prevalence of specific network motifs, and a pronounced community structure with several anatomically and functionally defined modules and interconnecting hub regions (Bullmore & Sporns, 2009; van den Heuvel & Hulshoff Pol, 2010; Sporns, 2011). Hubs are of particular interest in studies of the brain since they may play crucial roles in integrative processes and global brain communication, thought to be essential for many aspects of higher brain function. Indeed, hubs have been shown to correspond to brain regions that exhibit complex physiological responses and maintain widespread and diverse connection profiles with other parts of the brain. We asked if, in addition to being highly connected, brain hubs would also exhibit a strong tendency to be mutually interconnected, forming what has been called a “rich club” (Colizza et al., 2006). Rich club organization is present in a network if sets of high-degree nodes exhibit denser mutual connections than predicted on the basis of the degree sequence alone. We investigated rich club organization in the human brain in datasets that recorded weighted projections among different anatomical regions of the cerebral cortex, recorded from several cohorts of healthy human volunteers (van den Heuvel & Sporns, 2011; van den Heuvel et al., 2012).

Type
End Note
Copyright
Copyright © Cambridge University Press 2013 

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References

Bullmore, E., & Sporns, O. (2009). Complex brain networks: Graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10, 186198.Google Scholar
Bullmore, E., & Sporns, O. (2012). The economy of brain network organization. Nature Reviews Neuroscience, 13, 336349.Google Scholar
Colizza, V., Flammini, A., Serrano, M. A., & Vespignani, A. (2006). Detecting rich-club ordering in complex networks. Nature Physics, 2, 110115.CrossRefGoogle Scholar
Sporns, O. (2011). Networks of the brain. Cambridge: MIT Press.Google Scholar
Van den Heuvel, M. P., & Hulshoff Pol, H. E. (2010). Exploring the brain network: A review on resting-state fMRI functional connectivity. European Neuropsychopharmacology, 20, 519534.CrossRefGoogle ScholarPubMed
Van den Heuvel, M. P., & Sporns, O. (2011). Rich-club organization of the human connectome. Journal of Neuroscience, 31, 1577515786.CrossRefGoogle ScholarPubMed
Van den Heuvel, M. P., Kahn, R. S., Goñi, J., & Sporns, O. (2012). A high-cost, high-capacity backbone for global brain communication. Proceedings of the National Academy of Sciences USA, 109, 1137211377.Google Scholar