Genetic Correlation Between the P300 Event-Related Brain Potential and the EEG Power Spectrum
Previous studies have demonstrated moderate heritability of the P300 component of event-related brain potentials (ERPs) and high heritability of background electroencephalogram (EEG) power spectrum. However, it is unclear whether EEG and ERPs are influenced by common or independent genetic factors. This study examined phenotypic and genetic correlations between EEG spectral power and P300 amplitude using data from 206 Dutch twin pairs, age 16 years. Multivariate genetic models (Cholesky decomposition) were fitted to the observed twin covariances using Mx software. In males, genetic correlation... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2001 |
Reihe/Periodikum: | Anokhin , A P , van Baal , G C M , van Beijsterveldt , C E M , de Geus , E J C , Grant , J & Boomsma , D I 2001 , ' Genetic Correlation Between the P300 Event-Related Brain Potential and the EEG Power Spectrum ' , Behavior Genetics , vol. 31 , no. 6 , pp. 545-554 . https://doi.org/10.1023/A:1013341310865 |
Schlagwörter: | /dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_ / name=Netherlands Twin Register (NTR) |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29212657 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://research.vu.nl/en/publications/c8b77fc7-9acb-4226-935f-a701e44f6bb9 |
Previous studies have demonstrated moderate heritability of the P300 component of event-related brain potentials (ERPs) and high heritability of background electroencephalogram (EEG) power spectrum. However, it is unclear whether EEG and ERPs are influenced by common or independent genetic factors. This study examined phenotypic and genetic correlations between EEG spectral power and P300 amplitude using data from 206 Dutch twin pairs, age 16 years. Multivariate genetic models (Cholesky decomposition) were fitted to the observed twin covariances using Mx software. In males, genetic correlations between P300 and EEG power measures were high (0.54-0.74); 30% of the total P300 variance could be explained by genetic factors influencing EEG delta power and 26% by P300-specific genetic factors (total heritability 56%). In females, 45% of P300 variance could be attributed to familial influences that were shared with the EEG. However, it was not possible to distinguish between the genetic versus shared environmental factors, consistent with previous analysis of P300 in this sample (van Beijsterveldt et al., 1998). The results suggest that a substantial proportion of genetic influences on P300 amplitude can be explained by strong heritability of slow EEG rhythms contributing to P300.