A Brain Morphometry Study with Across-Site Harmonization Using a ComBat-Generalized Additive Model in Children and Adolescents

Tadashi Shiohama, Norihide Maikusa, Masahiro Kawaguchi, Jun Natsume, Yoshiyuki Hirano, Keito Saito, Jun Ichi Takanashi, Jacob Levman, Emi Takahashi, Koji Matsumoto, Hajime Yokota, Shinya Hattori, Keita Tsujimura, Daisuke Sawada, Tomoko Uchida, Tomozumi Takatani, Katsunori Fujii, Shinji Naganawa, Noriko Sato, Hiromichi Hamada

Research output: Contribution to journalArticlepeer-review

Abstract

Regional anatomical structures of the brain are intimately connected to functions corresponding to specific regions and the temporospatial pattern of genetic expression and their functions from the fetal period to old age. Therefore, quantitative brain morphometry has often been employed in neuroscience investigations, while controlling for the scanner effect of the scanner is a critical issue for ensuring accuracy in brain morphometric studies of rare orphan diseases due to the lack of normal reference values available for multicenter studies. This study aimed to provide across-site normal reference values of global and regional brain volumes for each sex and age group in children and adolescents. We collected magnetic resonance imaging (MRI) examinations of 846 neurotypical participants aged 6.0–17.9 years (339 male and 507 female participants) from 5 institutions comprising healthy volunteers or neurotypical patients without neurological disorders, neuropsychological disorders, or epilepsy. Regional-based analysis using the CIVET 2.1.0. pipeline provided regional brain volumes, and the measurements were across-site combined using ComBat-GAM harmonization. The normal reference values of global and regional brain volumes and lateral indices in our study could be helpful for evaluating the characteristics of the brain morphology of each individual in a clinical setting and investigating the brain morphology of ultra-rare diseases.

Original languageEnglish
Article number2774
JournalDiagnostics
Volume13
Issue number17
DOIs
Publication statusPublished - Sept 2023
Externally publishedYes

Keywords

  • CIVET
  • ComBat-GAM
  • normal reference values
  • structural brain MRI
  • voxel-based morphometry

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