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. 2013;8(1):e50939.
doi: 10.1371/journal.pone.0050939. Epub 2013 Jan 2.

Probabilistic MRI brain anatomical atlases based on 1,000 Chinese subjects

Affiliations

Probabilistic MRI brain anatomical atlases based on 1,000 Chinese subjects

Xing Wang et al. PLoS One. 2013.

Abstract

Brain atlases are designed to provide a standard reference coordinate system of the brain for neuroscience research. Existing human brain atlases are widely used to provide anatomical references and information regarding structural characteristics of the brain. The majority of them, however, are derived from one paticipant or small samples of the Western population. This poses a limitation for scientific studies on Eastern subjects. In this study, 10 new Chinese brain atlases for different ages and genders were constructed using MR anatomical images based on HAMMER (Hierarchical Attribute Matching Mechanism for Elastic Registration). A total of 1,000 Chinese volunteers ranging from 18 to 70 years old participated in this study. These population-specific brain atlases represent the basic structural characteristics of the Chinese population. They may be utilized for basic neuroscience studies and clinical diagnosis, including evaluation of neurological and neuropsychiatric disorders, in Chinese patients and those from other Eastern countries.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Axial views of 10 Chinese brain atlases of different age and gender groups.
The atlases of different ages are showed from left to right. F, female atlases. M, male atlases.
Figure 2
Figure 2. Comparison between the Chinese atlas and the MNI atlas.
Three cross-sectional figures of the MNI alas and the Chinese atlas are shown on the left and the right, respectively. Measurement parameters are also marked on the map.
Figure 3
Figure 3
A) Brain volume changes from 18 to 70 years. X-axis, age in years. Y-axis, volume (mm3). Left, female. Right, male. The curve fitting equation was: formula image B) The curves represent the mean trajectory of the two equations.

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