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Global genetic variations predict brain response to faces
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IMAGEN Consortium (Including:
). (2014) Global genetic variations predict brain response to faces. PLoS Genetics, Volume 10 (Number 8). e1004523. doi:10.1371/journal.pgen.1004523 ISSN 1553-7390. | There is a more recent version of this item available. |
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Official URL: http://dx.doi.org/10.1371/journal.pgen.1004523
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.
| Item Type: | Journal Article | ||||||||
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| Subjects: | B Philosophy. Psychology. Religion > BF Psychology Q Science > QP Physiology |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||||||
| Library of Congress Subject Headings (LCSH): | Facial expression -- Physiological aspects, Visual evoked response | ||||||||
| Journal or Publication Title: | PLoS Genetics | ||||||||
| Publisher: | Public Library of Science | ||||||||
| ISSN: | 1553-7390 | ||||||||
| Official Date: | 14 August 2014 | ||||||||
| Dates: |
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| Volume: | Volume 10 | ||||||||
| Number: | Number 8 | ||||||||
| Article Number: | e1004523 | ||||||||
| DOI: | 10.1371/journal.pgen.1004523 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||
| Funder: | Sixth Framework Programme (European Commission) (FP6), National Institute for Health Research (Great Britain) (NIHR), Medical Research Council (Great Britain) (MRC) | ||||||||
| Grant number: | LSHM-CT-2007-037286 (FP6), 93558 (MRC) |
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