Linear and curvilinear correlations of brain gray matter volume and density with age using voxel-based morphometry with the Akaike information criterion in 291 healthy children

Yasuyuki Taki, Hiroshi Hashizume, Benjamin Thyreau, Yuko Sassa, Hikaru Takeuchi, Kai Wu, Yuka Kotozaki, Rui Nouchi, Michiko Asano, Kohei Asano, Hiroshi Fukuda, Ryuta Kawashima

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

We examined linear and curvilinear correlations of gray matter volume and density in cortical and subcortical gray matter with age using magnetic resonance images (MRI) in a large number of healthy children. We applied voxel-based morphometry (VBM) and region-of-interest (ROI) analyses with the Akaike information criterion (AIC), which was used to determine the best-fit model by selecting which predictor terms should be included. We collected data on brain structural MRI in 291 healthy children aged 5-18 years. Structural MRI data were segmented and normalized using a custom template by applying the diffeomorphic anatomical registration using exponentiated lie algebra (DARTEL) procedure. Next, we analyzed the correlations of gray matter volume and density with age in VBM with AIC by estimating linear, quadratic, and cubic polynomial functions. Several regions such as the prefrontal cortex, the precentral gyrus, and cerebellum showed significant linear or curvilinear correlations between gray matter volume and age on an increasing trajectory, and between gray matter density and age on a decreasing trajectory in VBM and ROI analyses with AIC. Because the trajectory of gray matter volume and density with age suggests the progress of brain maturation, our results may contribute to clarifying brain maturation in healthy children from the viewpoint of brain structure. Hum Brain Mapp, 2013.

Original languageEnglish
Pages (from-to)1857-1871
Number of pages15
JournalHuman Brain Mapping
Volume34
Issue number8
DOIs
Publication statusPublished - 2013 Aug 1

Keywords

  • Akaike information criterion
  • Cross-sectional study
  • DARTEL
  • Development
  • Magnetic resonance imaging

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

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