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Nature and nurture shape structural connectivity in the face processing brain network.

Juan Felipe Quinones Sanchez1, Xinyang Liu2, Changsong Zhou3

  • 1Department of Psychology, Carl von Ossietzky Universität Oldenburg, Germany.

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|January 24, 2021
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Summary
This summary is machine-generated.

Both genetics and environment influence the white matter tracts supporting face processing. Environmental factors play a significant role in the quality of these specific brain connections.

Keywords:
DTIFace processingFractional anisotropyHeritabilityOntogenyTwin study

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Area of Science:

  • Neuroscience
  • Behavioral Genetics
  • Cognitive Neuroscience

Background:

  • Face processing is crucial for social cognition.
  • Limited research exists on the developmental influences (nature and nurture) on face processing at behavioral and neural levels.
  • Understanding genetic and environmental contributions to the white matter integrity of face-processing networks is largely unknown.

Purpose of the Study:

  • To investigate genetic and environmental influences on the white matter bundles connecting face-responsive brain regions.
  • To analyze the contributions of nature and nurture to the quality of specific white matter tracts involved in face processing.
  • To compare these influences with those on global white matter integrity.

Main Methods:

  • Utilized diffusion-weighted imaging data from 408 twin pairs (monozygotic and dizygotic) from the WU-Minn Human Connectome Project.
  • Analyzed fractional anisotropy (FA) as a measure of white matter fiber quality for seven face network tracts and ten global white matter tracts.
  • Employed Structural Equation Modeling (SEM) for twin data analysis to estimate genetic and environmental influences.

Main Results:

  • Identified small to moderate genetic effects on the fiber quality of the face processing network.
  • Found shared variance between face network white matter quality and global brain white matter integrity.
  • Revealed a common latent factor explaining limited genetic and larger environmental variance in multiple face network fibers.
  • Observed that individual-specific environmental influences on the face processing network are substantial.

Conclusions:

  • Both genetic and environmental factors contribute to individual differences in white matter fiber quality within the face processing network.
  • Environmental influences, particularly individual-specific ones, appear to play a larger role in face network white matter quality compared to global white matter.
  • These findings integrate nature and nurture perspectives, highlighting the complex developmental trajectory of the specialized human face processing ability.