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Updated: Jan 17, 2026

Three-Dimensional Shape Modeling and Analysis of Brain Structures
Published on: November 14, 2019
Developing and validating an elderly brain template: A comprehensive comparison with MNI152 for age-specific
Kazumichi Ota1, Yoshihiko Nakazato1, Genko Oyama1
1Department of Neurology, Faculty of Medicine, Saitama Medical University, Iruma-gun, Saitama 350-0495, Japan.
Background:
The Montreal Neurological Institute 152 (MNI152) brain template, constructed from young adult brains, may not accurately represent older age-specific morphological changes. Accordingly, we developed and validated the new Elderly template.
Methods:
MRI scans from 90 OASIS-1 participants, matching Japanese census demographics, were used to construct the Elderly template. Spatial normalization accuracy was compared with that of the MNI152 in the IXI dataset. Following UK Biobank-based intracranial volume quality control (±2 SD; 1232-1850 mL), 282 of 313 scans from individuals aged 20-80+ years were included. Whole-brain similarity was assessed with cross-correlation (CC), mean-squared error (MSE), and 3D structural similarity index measure (3D-SSIM). Dice coefficients were computed for white matter (WM), gray matter (GM), cerebrospinal fluid (CSF), and seven subcortical regions. Generalized linear models were used to test the Age × Template interactions (β₃).
Results:
Significant Age × Template interactions were observed for CC and MSE (p < 0.001); 3D-SSIM showed a positive but non-significant trend. Dice analyses mirrored this pattern: WM and GM showed minor differences between templates, and the Dice coefficient was parallel. CSF showed a sharp difference at the age ≥60 years. The largest interaction effects (≈1-4 % gain) occurred in the caudate, thalamus, hippocampus, and amygdala, whereas the brainstem, pallidum, and putamen showed minimal differences between templates.
Conclusions:
The Elderly template more accurately reflects older age-specific morphological changes and enhances spatial normalization accuracy, compared with the MNI152 template. This improvement suggests advancements in age-specific analyses and neurodegenerative disease research, enabling clinical applications.
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