Literature DB >> 22669123

A study of the standard brain in Japanese children: morphological comparison with the MNI template.

Hitoshi T Uchiyama1, Ayumi Seki, Daisuke Tanaka, Tatsuya Koeda.   

Abstract

Functional magnetic resonance imaging (MRI) studies involve normalization so that the brains of different subjects can be described using the same coordinate system. However, standard brain templates, including the Montreal Neurological Institute (MNI) template that is most frequently used at present, were created based on the brains of Western adults. Because morphological characteristics of the brain differ by race and ethnicity and between adults and children, errors are likely to occur when data from the brains of non-Western individuals are processed using these templates. Therefore, this study was conducted to collect basic data for the creation of a Japanese pediatric standard brain. Participants in this study were 45 healthy children (contributing 65 brain images) between the ages of 6 and 9 years, who had nothing notable in their perinatal and other histories and neurological findings, had normal physical findings and cognitive function, exhibited no behavioral abnormalities, and provided analyzable MR images. 3D-T1-weighted images were obtained using a 1.5-T MRI device, and images from each child were adjusted to the reference image by affine transformation using SPM8. The lengths were measured and compared with those of the MNI template. The Western adult standard brain and the Japanese pediatric standard brain obtained in this study differed greatly in size, particularly along the anteroposterior diameter and in height, suggesting that the correction rates are high, and that errors are likely to occur in the normalization of pediatric brain images. We propose that the use of the Japanese pediatric standard brain created in this study will improve the accuracy of identification of brain regions in functional brain imaging studies involving children.
Copyright © 2012 The Japanese Society of Child Neurology. Published by Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22669123     DOI: 10.1016/j.braindev.2012.04.005

Source DB:  PubMed          Journal:  Brain Dev        ISSN: 0387-7604            Impact factor:   1.961


  6 in total

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Journal:  Cereb Cortex       Date:  2015-09-26       Impact factor: 5.357

2.  Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study.

Authors:  Anca-Larisa Sandu; Gordon D Waiter; Roger T Staff; Nafeesa Nazlee; Tina Habota; Chris J McNeil; Dorota Chapko; Justin H Williams; Caroline H D Fall; Giriraj R Chandak; Shailesh Pene; Murali Krishna; Andrew M McIntosh; Heather C Whalley; Kalyanaraman Kumaran; Ghattu V Krishnaveni; Alison D Murray
Journal:  Sci Rep       Date:  2022-06-30       Impact factor: 4.996

3.  Reducing Individual Variation for fMRI Studies in Children by Minimizing Template Related Errors.

Authors:  Jian Weng; Shanshan Dong; Hongjian He; Feiyan Chen; Xiaogang Peng
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

4.  Population-specific brain [18F]-FDG PET templates of Chinese subjects for statistical parametric mapping.

Authors:  Hongkai Wang; Yang Tian; Yang Liu; Zhaofeng Chen; Haoyu Zhai; Mingrui Zhuang; Nan Zhang; Yuanfang Jiang; Ya Gao; Hongbo Feng; Yanjun Zhang
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5.  Construction and Validation of Brain MRI Templates from a Korean Normal Elderly Population.

Authors:  Hyunna Lee; Byung Il Yoo; Ji Won Han; Jung Jae Lee; San Yeo Wool Oh; Eun Young Lee; Jae Hyoung Kim; Ki Woong Kim
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Review 6.  Whole Brain Magnetic Resonance Image Atlases: A Systematic Review of Existing Atlases and Caveats for Use in Population Imaging.

Authors:  David Alexander Dickie; Susan D Shenkin; Devasuda Anblagan; Juyoung Lee; Manuel Blesa Cabez; David Rodriguez; James P Boardman; Adam Waldman; Dominic E Job; Joanna M Wardlaw
Journal:  Front Neuroinform       Date:  2017-01-19       Impact factor: 4.081

  6 in total

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