Literature DB >> 11838532

Genetic correlation between the P300 event-related brain potential and the EEG power spectrum.

A P Anokhin1, G C van Baal, C E van Beijsterveldt, E J de Geus, J Grant, D I Boomsma.   

Abstract

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.

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Year:  2001        PMID: 11838532     DOI: 10.1023/a:1013341310865

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  14 in total

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2.  Alcoholism is a disinhibitory disorder: neurophysiological evidence from a Go/No-Go task.

Authors:  Chella Kamarajan; Bernice Porjesz; Kevin A Jones; Keewhan Choi; David B Chorlian; Ajayan Padmanabhapillai; Madhavi Rangaswamy; Arthur T Stimus; Henri Begleiter
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3.  A new interpretation of P300 responses upon analysis of coherences.

Authors:  Bahar Güntekin; Erol Başar
Journal:  Cogn Neurodyn       Date:  2010-02-12       Impact factor: 5.082

4.  Assessing the internal consistency of the event-related potential: An example analysis.

Authors:  Nina N Thigpen; Emily S Kappenman; Andreas Keil
Journal:  Psychophysiology       Date:  2017-01       Impact factor: 4.016

Review 5.  Genetic psychophysiology: advances, problems, and future directions.

Authors:  Andrey P Anokhin
Journal:  Int J Psychophysiol       Date:  2014-04-13       Impact factor: 2.997

6.  Genome-wide association analysis links multiple psychiatric liability genes to oscillatory brain activity.

Authors:  Dirk J A Smit; Margaret J Wright; Jacquelyn L Meyers; Nicholas G Martin; Yvonne Y W Ho; Stephen M Malone; Jian Zhang; Scott J Burwell; David B Chorlian; Eco J C de Geus; Damiaan Denys; Narelle K Hansell; Jouke-Jan Hottenga; Matt McGue; Catharina E M van Beijsterveldt; Neda Jahanshad; Paul M Thompson; Christopher D Whelan; Sarah E Medland; Bernice Porjesz; William G Lacono; Dorret I Boomsma
Journal:  Hum Brain Mapp       Date:  2018-06-26       Impact factor: 5.038

7.  Genetic correlates of the development of theta event related oscillations in adolescents and young adults.

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Journal:  Int J Psychophysiol       Date:  2016-11-12       Impact factor: 2.997

8.  Short-term EEG spectral pattern as a single event in EEG phenomenology.

Authors:  Al A Fingelkurts; An A Fingelkurts
Journal:  Open Neuroimag J       Date:  2010-09-08

9.  Genetic influences on composite neural activations supporting visual target identification.

Authors:  Lauren E Ethridge; Stephen M Malone; William G Iacono; Brett A Clementz
Journal:  Biol Psychol       Date:  2012-11-29       Impact factor: 3.251

10.  Antero-posterior EEG spectral power gradient as a correlate of extraversion and behavioral inhibition.

Authors:  Gennady G Knyazev
Journal:  Open Neuroimag J       Date:  2010-09-08
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