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The construction of a Chinese MRI brain atlas: a morphometric comparison study between Chinese and Caucasian cohorts.
Open accessAbstract
We developed a novel brain atlas template to facilitate computational brain studies of Chinese subjects and populations using high quality magnetic resonance imaging (MRI) and well-validated image analysis techniques. To explore the ethnicity-based structural brain differences, we used the MRI scans of 35 Chinese male subjects (24.03+/-2.06 years) and compared them to an age-matched cohort of 35 Caucasian males (24.03+/-2.06 years). Global volumetric measures were used to identify significant group differences in the brain length, width, height and AC-PC line distance. Using the LONI BrainParser, 56 brain structures were automatically labeled and analyzed for all subjects. We identified significant ethnicity differences in brain structure volumes, suggesting that a population-specific brain atlas may be more appropriate for studies involving Chinese populations. To address this, we constructed a 3D Chinese brain atlas based on high resolution 3.0T MRI scans of 56 right-handed male Chinese volunteers (24.46+/-1.81 years). All Chinese brains were spatially normalized by using linear and nonlinear transformation via the "AIR Make Atlas" pipeline workflow within the LONI pipeline environment. This high-resolution Chinese brain atlas was compared to the ICBM152 template, which was constructed using Caucasian brains.
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“both molecules are known to cross the blood brain barrier and interact with hippocampal cells (Ding et al., 2006; Tang et al., 2010).”
From Aerobic Exercise as a Tool to Improve Hippocampal Plasticity and Function in Humans: Practical Implications for Mental Health Treatment (2016) · cites this paper as Tang et al., 2010
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Metadata
- Authors
- Tang, Y., Hojatkashani, C., Dinov, I. D., Sun, B., Fan, L., Lin, X., Qi, H., Hua, X., Liu, S., & Toga, A. W.
- Affiliations
- Shandong University (CN)
- University of California, Los Angeles (US)
- Corresponding author
- Liu, Shuwei
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2010-05
- Volume
- 51
- Issue
- 1
- Pages
- 33-41
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC2862912
- OpenAlex
- W2079062663
- Cited by
- 177
- References
- 52
- Citations by year
- 2026: 5 · 2025: 16 · 2024: 17 · 2023: 9 · 2022: 20 · 2021: 13 · 2020: 14 · 2019: 10 · 2018: 13 · 2017: 12 · 2016: 6 · 2015: 11 · 2014: 7 · 2013: 11 · 2012: 5
- FWCI
- 8.91
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Natural Science Foundation (30470905)
- National Institutes of Health (U54 RR021813, NIH/NCRR 5 P41 RR013642, NIH/NIMH 5 R01 MH71940)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- brain atlas construction, brain structure, brain volumetry, brain structure segmentation, 3T MRI, Chinese population
- MeSH terms
- Adult, Atlases as Topic, Automation, Brain, China, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Organ Size, Linear Models, Databases, Factual, Nonlinear Dynamics, Imaging, Three-Dimensional, White People, Asian People, Young Adult
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