Heritability of "small-world" networks in the brain: a graph theoretical analysis of resting-state EEG functional connectivity.

Abstract:

: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.

journal_name

Hum Brain Mapp

journal_title

Human brain mapping

authors

Smit DJ,Stam CJ,Posthuma D,Boomsma DI,de Geus EJ

doi

10.1002/hbm.20468

subject

Has Abstract

pub_date

2008-12-01 00:00:00

pages

1368-78

issue

12

eissn

1065-9471

issn

1097-0193

journal_volume

29

pub_type

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