Literature DB >> 29843077

Construction of population-specific Indian MRI brain template: Morphometric comparison with Chinese and Caucasian templates.

Gaurav Vivek Bhalerao1, Rujuta Parlikar1, Rimjhim Agrawal1, Venkataram Shivakumar1, Sunil V Kalmady1, Naren P Rao1, Sri Mahavir Agarwal1, Janardhanan C Narayanaswamy1, Y C Janardhan Reddy1, Ganesan Venkatasubramanian2.   

Abstract

OBJECTIVE: Spatial normalization of brain MR images is highly dependent on the choice of target brain template. Morphological differences caused by factors like genetic and environmental exposures, generates a necessity to construct population specific brain templates. Brain image analysis performed using brain templates from Caucasian population may not be appropriate for non-Caucasian population. In this study, our objective was to construct an Indian brain template from a large population (N = 157 subjects) and compare the morphometric parameters of this template with that of Chinese-56 and MNI-152 templates. In addition, using an independent MRI data of 15 Indian subjects, we also evaluated the potential registration accuracy differences using these three templates.
METHODS: Indian brain template was constructed using iterative routines as per established procedures. We compared our Indian template with standard MNI-152 template and Chinese template by measuring global brain features. We also examined accuracy of registration by aligning 15 new Indian brains to Indian, Chinese and MNI templates. Furthermore, we supported our measurement protocol with inter-rater and intra-rater reliability analysis.
RESULTS: Our results showed that there were significant differences in global brain features of Indian template in comparison with Chinese and MNI brain templates. The results of registration accuracy analysis revealed that fewer deformations are required when Indian brains are registered to Indian template as compared to Chinese and MNI templates.
CONCLUSION: This study concludes that population specific Indian template is likely to be more appropriate for structural and functional image analysis of Indian population.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Brain; MRI; Structural; Template

Mesh:

Year:  2018        PMID: 29843077     DOI: 10.1016/j.ajp.2018.05.014

Source DB:  PubMed          Journal:  Asian J Psychiatr        ISSN: 1876-2018


  4 in total

1.  A Chinese multi-modal neuroimaging data release for increasing diversity of human brain mapping.

Authors:  Peng Gao; Hao-Ming Dong; Si-Man Liu; Xue-Ru Fan; Chao Jiang; Yin-Shan Wang; Daniel Margulies; Hai-Fang Li; Xi-Nian Zuo
Journal:  Sci Data       Date:  2022-06-09       Impact factor: 8.501

Review 2.  Evolution of Human Brain Atlases in Terms of Content, Applications, Functionality, and Availability.

Authors:  Wieslaw L Nowinski
Journal:  Neuroinformatics       Date:  2021-01

3.  A Probabilistic Atlas of the Pineal Gland in the Standard Space.

Authors:  Foroogh Razavi; Samira Raminfard; Hadis Kalantar Hormozi; Minoo Sisakhti; Seyed Amir Hossein Batouli
Journal:  Front Neuroinform       Date:  2021-05-17       Impact factor: 4.081

4.  A series of five population-specific Indian brain templates and atlases spanning ages 6-60 years.

Authors:  Bharath Holla; Paul A Taylor; Daniel R Glen; John A Lee; Nilakshi Vaidya; Urvakhsh Meherwan Mehta; Ganesan Venkatasubramanian; Pramod Kumar Pal; Jitender Saini; Naren P Rao; Chirag K Ahuja; Rebecca Kuriyan; Murali Krishna; Debashish Basu; Kartik Kalyanram; Amit Chakrabarti; Dimitri Papadopoulos Orfanos; Gareth J Barker; Robert W Cox; Gunter Schumann; Rose Dawn Bharath; Vivek Benegal
Journal:  Hum Brain Mapp       Date:  2020-08-26       Impact factor: 5.399

  4 in total

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