Genome-wide association study with EEG correlates of performance monitoring.

The aim of the proposed study is to investigate in a genome wide fashion the association between genomic polymorphisms and endo- / phenotypes of human performance monitoring in terms of surface electroencephalogram (EEG), in order to investigate the genetic basis and genetic mechanisms of cognitive control processes. This is a continuation of project KL 2337 / 2-1 (term 2 years until 30.09.2012). To date, in a multicentric approach at the Radboud University of Nijmegen, the Netherlands, and at the Max Planck Institute for human Cognitive and Brain Sciences, Leipzig, Germany, N = 1000 young, healthy subjects were characterized in terms of behavioral and EEG phenotypes and their genetic material collected. In 686 of these subjects, the genotyping has been completed. A preliminary genome-wide association analysis (GWAS) provided evidence of association between response time, post-error slowing (PES) and error-related negativity (ERN) amplitude with different genomic loci and single nucleotide polymorphisms (SNP). Furthermore, we were able to establish the feasibility of the analysis by means of parallel independent component analysis (parallel ICA). The proposed project is designed to complete the data collection or collection of a step-up cohort to secure the findings and to provide means for a more detailed analysis.