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White matter microstructure in face and body networks predicts facial expression and body posture perception across development

  • Isobel L. Ward*
  • , Erika P. Raven
  • , Stephan de la Rosa
  • , Derek K. Jones
  • , Christoph Teufel
  • , Elisabeth von dem Hagen*
  • *Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

3 Citations (Scopus)

Abstract

Facial expression and body posture recognition have protracted developmental trajectories. Interactions between face and body perception, such as the influence of body posture on facial expression perception, also change with development. While the brain regions underpinning face and body processing are well-defined, little is known about how white-matter tracts linking these regions relate to perceptual development. Here, we obtained complementary diffusion magnetic resonance imaging (MRI) measures (fractional anisotropy [FA], spherical mean Ṧμ), and a quantitative MRI myelin-proxy measure (R1), within white-matter tracts of face- and body-selective networks in children and adolescents and related these to perceptual development. In tracts linking occipital and fusiform face areas, facial expression perception was predicted by age-related maturation, as measured by Ṧμ and R1, as well as age-independent individual differences in microstructure, captured by FA and R1. Tract microstructure measures linking posterior superior temporal sulcus body region with anterior temporal lobe (ATL) were related to the influence of body on facial expression perception, supporting ATL as a site of face and body network convergence. Overall, our results highlight age-dependent and age-independent constraints that white-matter microstructure poses on perceptual abilities during development and the importance of complementary microstructural measures in linking brain structure and behaviour.
Original languageEnglish
Pages (from-to)2307-2322
Number of pages16
JournalHuman Brain Mapping
Volume44
Issue number6
Early online date20 Jan 2023
DOIs
Publication statusPublished - 15 Apr 2023

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