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Heritability of resting state EEG functional connectivity patterns.

Nienke M Schutte1, Narelle K Hansell, Eco J C de Geus

  • 1Biological Psychology, Faculty of Psychology and Education, VU University Amsterdam, Amsterdam, The Netherlands.

Twin Research and Human Genetics : the Official Journal of the International Society for Twin Studies
|August 13, 2013
PubMed
Summary

Genetic factors significantly influence brain connectivity, as measured by electroencephalography (EEG). This study confirms that synchronization likelihood and network properties like cluster coefficient are heritable, supporting their role as endophenotypes.

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Area of Science:

  • Neuroscience
  • Behavioral Genetics
  • Psychophysiology

Background:

  • Previous research in Dutch twins indicated genetic influence on functional brain connectivity from electroencephalography (EEG) recordings.
  • Graph analysis descriptors of brain networks, such as clustering and path length, were also found to be heritable.

Purpose of the Study:

  • To replicate and confirm previous findings on the heritability of functional brain connectivity measures in an Australian twin and sibling cohort.
  • To investigate the genetic architecture of synchronization likelihood, cluster coefficient, and path length in resting-state EEG data.

Main Methods:

  • Analysis of resting-state electroencephalographic (EEG) recordings from 879 16-year-old twins and 93 siblings in Australia.
  • Twin and sibling modeling to estimate heritability of synchronization likelihood, cluster coefficient, and path length across different frequency bands (alpha, theta, beta).

Main Results:

  • Heritability estimates for synchronization likelihood ranged from 27-74%.
  • Heritability for cluster coefficient and path length in the alpha and theta bands were 40-44% and 23-40%, respectively.
  • Path length in the beta band frequency showed a heritability of 41%.

Conclusions:

  • The findings corroborate that synchronization likelihood, cluster coefficient, and path length are heritable traits.
  • These brain connectivity measures and network parameters show potential as endophenotypes for behavioral traits and neurological disorders.