Growth charts of brain morphometry for preschool children

Hongxi Zhang1, Jia Li2, Xiaoli Su1

  • 1Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Neuroimage
|April 17, 2022
PubMed

Insights

This study provides quantitative brain growth charts for children aged 1-6 years, aiding in early detection of neurodevelopmental disorders and speech/language delays using brain morphology metrics.

Area of Science:

  • Neuroscience
  • Developmental Biology
  • Pediatric Radiology

Background:

  • Early brain development (1-6 years) is crucial for functional capabilities and can reveal neurodevelopmental disorders.
  • Quantitative models for brain morphology changes and individualized inferences are lacking for this critical period.
  • This gap hinders early identification of atypical brain development in preschool children.

Purpose of the Study:

  • To characterize age-dependent changes in cortical thickness and subcortical volume in neurologically normal children aged 1-6 years.
  • To construct quantitative growth charts for brain regions during early childhood.
  • To assess the utility of these growth charts in identifying early brain atypicality, including developmental speech and language disorders.

Main Methods:

  • Analysis of brain morphology (cortical thickness, subcortical volume) in 285 neurologically normal children.
  • Development of quantitative growth curve models for various brain regions.
  • Validation of growth charts for identifying children with developmental speech and language disorders using percentile measures.

Main Results:

  • Established age-dependent growth charts for cortical thickness and subcortical volume in preschool children.
  • Observed varied trends: cortical thickness generally decreased with age, while subcortical volumes showed diverse patterns (increasing, decreasing, inverted-U).
  • Growth curve models accurately identified brain atypicality, achieving 0.875 accuracy (AUC 0.943) for developmental speech and language disorders.

Conclusions:

  • The study fills a critical knowledge gap in pediatric brain morphometrics during the 1-6 year period.
  • Developed quantitative tools for individualized brain developmental status evaluation.
  • The publicly shared brain growth charts offer a sensitive method for early detection of neurodevelopmental atypicalities.