Type

Journal Article

Authors

Arun Bokde
Hugh Garavan

Subjects

Psychiatry

Topics
face recognition brain response to facial expressions cognitive neuroscience global community based maximum likelihood single nucleotide polymorphisms neuroscience social signals functional magnetic resonance imaging brain human genetics

Global genetic variations predict brain response to faces (2014)

Abstract Face expressions are a rich source of social signals. Here we estimated the proportion of phenotypic variance in the brain response to facial expressions explained by common genetic variance captured by ~500,000 single nucleotide polymorphisms. Using genomic-relationship-matrix restricted maximum likelihood (GREML), we related this global genetic variance to that in the brain response to facial expressions, as assessed with functional magnetic resonance imaging (fMRI) in a community-based sample of adolescents (n = 1,620). Brain response to facial expressions was measured in 25 regions constituting a face network, as defined previously. In 9 out of these 25 regions, common genetic variance explained a significant proportion of phenotypic variance (40–50%) in their response to ambiguous facial expressions; this was not the case for angry facial expressions. Across the network, the strength of the genotype-phenotype relationship varied as a function of the inter-individual variability in the number of functional connections possessed by a given region (R2 = 0.38, p<0.001). Furthermore, this variability showed an inverted U relationship with both the number of observed connections (R2 = 0.48, p<0.001) and the magnitude of brain response (R2 = 0.32, p<0.001). Thus, a significant proportion of the brain response to facial expressions is predicted by common genetic variance in a subset of regions constituting the face network. These regions show the highest inter-individual variability in the number of connections with other network nodes, suggesting that the genetic model captures variations across the adolescent brains in co-opting these regions into the face network
Collections Ireland -> Trinity College Dublin -> RSS Feeds
Ireland -> Trinity College Dublin -> Administrative Staff Authors (Scholarly Publications)
Ireland -> Trinity College Dublin -> Administrative Staff Authors
Ireland -> Trinity College Dublin -> Psychology (Scholarly Publications)
Ireland -> Trinity College Dublin -> School of Psychology
Ireland -> Trinity College Dublin -> Psychology
Ireland -> Trinity College Dublin -> RSS Feeds

Full list of authors on original publication

Arun Bokde, Hugh Garavan

Experts in our system

1
Arun L W Bokde
Trinity College Dublin
Total Publications: 144
 
2
Hugh Garavan
Trinity College Dublin
Total Publications: 170