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Brain electrophysiological endophenotypes for externalizing psychopathology: a multivariate approach.

Casey S Gilmore¹, Stephen M Malone, William G Iacono

¹Department of Psychology, University of Minnesota, Elliott Hall, 75 East River Road, Minneapolis, MN, 55455, USA. gilmo077@umn.edu

Behavior Genetics

|February 16, 2010

Summary

Combining electrophysiological measures like P3 event-related potentials (ERP) and resting-state EEG can enhance the identification of genetic vulnerabilities for externalizing (EXT) spectrum disorders.

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Area of Science:

Neuroscience
Psychiatry
Behavioral Genetics

Background:

Abnormalities in stimulus-evoked (P3 ERP, delta/theta TF) and resting-state (beta EEG) brain activity are linked to externalizing (EXT) spectrum disorders.
Individual electrophysiological measures show promise as endophenotypes for EXT.

Purpose of the Study:

To explore a multivariate approach for identifying electrophysiological endophenotypes related to EXT.
To enhance the power of identifying EXT-related genes by collectively using promising individual endophenotypes.

Main Methods:

Utilized data from a large twin sample (634 MZ, 335 DZ pairs).
Employed multivariate biometric Cholesky models to analyze relationships between measures.
Investigated heritability, phenotypic, and genetic correlations.

Main Results:

The studied electrophysiological measures were heritable.
These measures showed significant genetic and phenotypic correlations with general EXT vulnerability.
Modest correlations were observed between the measures themselves, and gender-specific genetic effects were noted.

Conclusions:

Electrophysiological endophenotypes tap into common and unique neurophysiological processes and genes relevant to EXT psychopathology.
A multivariate approach may improve the identification of genetic factors underlying EXT disorders.
Findings highlight the utility of combining multiple electrophysiological measures for understanding biological vulnerability to EXT.