The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Heritability of “small‐world” networks in the brain: A graph theoretical analysis of resting‐state EEG functional connectivity
Open accessAbstract
Recent studies have shown that resting‐state functional networks as studied with fMRI, EEG, and MEG may be so‐called small‐world networks. We investigated to what extent the characteristic features of small‐world networks are genetically determined. To represent functional connectivity between brain areas, we measured resting EEG in 574 twins and their siblings and calculated the synchronization likelihood between each pair of electrodes. We applied a threshold to obtain a binary graph from which we calculated the clustering coefficient C (describing local interconnectedness) and average path length L (describing global interconnectedness) for each individual. Modeling of MZ and DZ twin and sibling resemblance indicated that across various frequency bands 46–89% of the individual differences in C and 37–62% of the individual differences in L are heritable. It is asserted that C, L, and a small‐world organization are viable markers of genetic differences in brain organization. Hum Brain Mapp, 2008. © 2007 Wiley‐Liss, Inc.
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Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
XV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance.
Fisher, R. A. (1919) · Transactions of the Royal Society of Edinburgh · doi:10.1017/s0080456800012163 · Cited by 4,387
Efficiency and Cost of Economical Brain Functional Networks
Achard, S., & Bullmore, E. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030017 · Cited by 2,553
Classical twin studies and beyond
Boomsma, D., Busjahn, A., & Peltonen, L. (2002) · Nature Reviews Genetics · doi:10.1038/nrg932 · Cited by 1,105 · cited 5×
“Note that the resulting twin correlations represent the relation between ‘‘true’’ factors F, and are thus corrected for measurement error.”
BackgroundMethodInfluentialSelf-citationAdaptive reconfiguration of fractal small-world human brain functional networks
Bassett, D. S., Meyer-Lindenberg, A., Achard, S., Duke, T., & Bullmore, E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606005103 · Cited by 814
How do brain tumors alter functional connectivity? A magnetoencephalography study
Bartolomei, F., Bosma, I., Klein, M., Baayen, J. C., Reijneveld, J. C., Postma, T. J., Heimans, J. J., van Dijk, B. W., de Munck, J. C., de Jongh, A., et al. (2006) · Annals of Neurology · doi:10.1002/ana.20710 · Cited by 180
Self-citationHilgetag, C., O'Neill, M. A., & Young, M. P. (2000) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2000.0550 · Cited by 167
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van Wijk, B. C. M., Stam, C. J., & Daffertshofer, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013701 · Cited by 1,161
Self-citationEfficiency of Functional Brain Networks and Intellectual Performance
van den Heuvel, M. P., Stam, C. J., Kahn, R. S., & Hulshoff Pol, H. E. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1443-09.2009 · Cited by 1,078
Self-citationSchizophrenia, neuroimaging and connectomics
Fornito, A., Zalesky, A., Pantelis, C., & Bullmore, E. T. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.090 · Cited by 716
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Metadata
- Authors
- Smit, D. J. A., Stam, C. J., Posthuma, D., Boomsma, D. I., & de Geus, E. J. C.
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2007-12-06
- Volume
- 29
- Issue
- 12
- Pages
- 1368-1378
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- OpenAlex
- W2107612402
- Cited by
- 275
- References
- 7
- FWCI
- 4.18
- Type
- journal article
- Language
- en
- Open access
- green
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- Smit, D. J. A., Stam, C. J., Posthuma, D., Boomsma, D. I., & de Geus, E. J. C. (2008). Heritability of “small‐world” networks in the brain: A graph theoretical analysis of resting‐state EEG functional connectivity. Human Brain Mapping. https://doi.org/10.1002/hbm.20468
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
